Startups & SMB

The founder’s AI foundation: The top announcements for startups from Next ‘26

Wed, 29 Apr 2026 16:00:00 +0000

The momentum is undeniable: the world’s fastest-growing AI startups are building with Google Cloud. Instead of stitching together fragmented point solutions, founders are building their businesses here because we offer the entire AI stack in a single, open environment.

And, as we saw at Next ‘26 last week, we continue to advance the models, infrastructure, platforms, security, and governance that allow startups to build faster and dream bigger.

You can already see this scale and velocity in action every day. Platforms like Lovable are empowering developers to generate over 200,000 new projects daily. Thinking Machines Labs is leveraging the latest NVIDIA Blackwell chips through Google Cloud to double its training and serving speeds. When it comes to activating complex data, Parallel bypassed the multi-vendor headache, using our integrated ecosystem — bridging Gemini, BigQuery, and Spanner — to massively scale their high-accuracy search APIs.

Startups are moving at this pace because we’ve eliminated the operational plumbing. Aible is running complex enterprise agents directly where their data lives in BigQuery, while teams like Emergent AI are using Google Kubernetes Engine (GKE) to autonomously scale thousands of secure sandboxes for vibe coding natural language prompts into production-ready applications.

By putting everything in one place, we provide the ultimate foundation so you can focus 100% on shipping the AI-native products your customers are waiting for.

Let’s look at some of the biggest announcements out of Next ‘26 and what they mean for you.

1. Gemini Enterprise: comprehensive agent platform

The new Gemini Enterprise Agent Platform is how we’re moving beyond isolated AI tools to a complete lifecycle platform. It evolves the model building capabilities of Vertex AI with advanced features for:

Building: The upgraded Agent Development Kit (ADK) introduces a graph-based framework for complex multi-agent reasoning, while the low-code Agent Studio allows you to move seamlessly from prompts to deployed agents. Developers can also utilize Agent Garden to jumpstart development with pre-built agent templates.
Scaling: The re-engineered Agent Runtime delivers sub-second cold starts and supports long-running agents that maintain state for days at a time. The new Agent Memory Bank enables agents to recall high-accuracy details for personalized, long-term context.
Governing: To ensure security and compliance, the platform introduces Agent Identity for trackable auditing, Agent Gateway for unified connectivity and policy enforcement, and Agent Threat Detection to flag suspicious behavior in real time.
Optimizing: Teams can ensure quality using Agent Simulation to test against synthetic interactions, and rely on Agent Optimizer to automatically analyze real-world failures and suggest improvements.

What it means for startups: Startups no longer need to stitch together fragmented tools to build complex AI systems. The new Agent Platform provides every tool in one place — whether you are using the visual interface of Agent Studio to quickly prototype or the code-first logic of the ADK for advanced orchestration, a lean team can build and scale production-ready agents with security guardrails from day one. This approach helps eliminate technical debt and drastically accelerates time-to-market.

2. The Agentic Data Cloud: Data that actually does the work

We are moving your data from rows and columns to autonomous action. This is where you build AI agents that understand your business logic and execute the next best action—closing the gap between simply analyzing data and actually resolving real tasks on your behalf. Because agents generate orders of magnitude more workloads, our Agentic Infrastructure scales to handle bursty startup demands, improving query speeds and reducing infrastructure costs.

Query anywhere, leave data where it lives: The Cross-Cloud Lakehouse lets you use Google's advanced AI on data living in AWS or Azure. Build smarter agents without requiring migrations, experiencing vendor lock-in, or incurring additional costs to move your data.
The zero-ETL startup: Features like One-Click Reverse ETL and Lakehouse Federation collapse the walls between operational databases and analytics, allowing data to flow seamlessly without manual engineering.
Give your agents business context: Before an agent acts, it needs to understand your specific business rules. The new Knowledge Catalog turns passive data into active semantics, ensuring your agents know the exact difference between "booked revenue" and "projected revenue" without guessing or hallucinating.
Eliminate "glue code" and manual connectors: Fully managed, remote Model Context Protocol (MCP) servers are now embedded directly across the database portfolio (Firestore, Spanner, BigQuery, and AlloyDB).
Production-grade guardrails: Connecting AI to your database usually means risking dangerous SQL hallucinations. New Tools for Data Agents solve this by providing pre-built, modular building blocks that deliver near-100% text-to-SQL accuracy, letting your custom agents interact with live data safely and reliably.
Instant app generation: A new integration with Google AI Studio allows developers to use natural language for vibe coding to turn a simple text prompt into a live, deployed application connected to Firestore in seconds.

What it means for startups: Your proprietary data can be a competitive moat, but activating it usually requires a massive integration tax — breaking down cloud silos, writing brittle glue code, and managing complex ETL pipelines. Our latest data advances eliminate the friction. Startups can now leave their data right where it lives in AWS or Azure, "vibe code" an app into existence, and instantly plug agents into secure databases using standard MCPs. It turns data integration from a multi-week engineering sprint into a single afternoon's work.

3. Next-Gen Compute: Performance and Cost-Efficiency

Google Cloud is drastically expanding its AI Hypercomputer portfolio to offer increased performance-per-dollar, while introducing autonomous features that handle the heavy lifting of infrastructure management for lean teams:

TPU 8t for training: Optimized for training massive models, the TPU 8t achieves nearly 3x higher compute performance than the previous generation and delivers up to 2x better performance-per-watt.
TPU 8i for inference: Designed to make running agents more affordable, the TPU 8i delivers 80% better performance-per-dollar for inference than the prior generation.
Axion N4A for general compute: Google Cloud Axion instances deliver 100% better price-performance than comparable x86 instances, ensuring highly efficient, sustained operations.
Multi-agent networking: New C4N and M4N machine series offer a nearly 4x increase in network bandwidth, purposefully built to handle high-volume communication between AI agents.
GKE sub-second agent scaling: Google Kubernetes Engine Agent Sandbox now deploys 300 sandboxes per second, per cluster. This delivers sub-second cold starts for AI workloads, ensuring instant response times and secure multi-tenant isolation.
The self-driving cloud: Google Cloud integrated Gemini reasoning directly into its telemetry. The system now performs autonomous root-cause analysis, identifying and fixing infrastructure misconfigurations before a human even realizes there’s a problem.
NVIDIA integration: Google remains at the bleeding edge of partner hardware, becoming one of the first to offer the NVIDIA Vera Rubin NVL72 alongside Blackwell and Hopper.

What it means for startups: Managing that infrastructure can drain precious engineering cycles. Google Cloud’s expanded portfolio solves both problems. You can train models faster with the TPU 8t, scale millions of concurrent agents cost-effectively using the TPU 8i, and deliver zero-latency experiences using GKE sandboxes.

More importantly, with our autonomous root-cause analysis handling the operational plumbing, your engineers are freed up to focus on what actually matters: building your product.

4. Agentic Defense: Security as Your Enterprise Go-To-Market Engine

Google Cloud is combining its global threat intelligence with Wiz's Cloud and AI Security Platform to provide startups with a fully automated, unified security posture from code to cloud:

API economics protection: The new Google Cloud Fraud Defense acts as an intelligent bouncer, preventing malicious bots from scraping IP or running up massive compute bills on unauthorized agent interactions.
Full-stack AI protection: The Wiz AI Application Protection Platform (AI-APP) secures every layer of the AI stack and natively supports the "outer layer" of the cloud, now securing tools startups actively use like Vercel, Databricks, and Cloudflare.
Google-scale threat intelligence: New agentic SecOps tools, like the Threat Hunting Agent and dark web intelligence, automate detection rules and elevate only the threats that matter with 98% accuracy. Meanwhile, the Triage and Investigation agent uses Gemini to shrink 30-minute security investigations down to just 60 seconds.
SecOps agents: We introduced three new agents in Google Security Operations — Threat Hunting (proactive pursuit of stealthy threats), Detection Engineering (automated detection creation), and Third-Party Context (workflow data enrichment) — that empower teams to defend at the speed of AI.
Drag-and-drop security automation: Wiz Workflows introduces a new hub with a customizable drag-and-drop interface, allowing lean teams to easily orchestrate how and when these AI agents act without writing complex security scripts.

What it means for startups For B2B startups, the enterprise information-security review is where deals often go to die. By building on our unified security foundation, you can demonstrate that your application has continuous, automated red-teaming and runtime protection.

It turns the dreaded vendor risk assessment into a competitive advantage, allowing you to bypass procurement roadblocks and close enterprise deals faster without needing to hire a massive SecOps team.

5. The Go-To-Market Engine & Ecosystem Capital

Google is solving the ultimate startup hurdles — distribution and funding — by opening up its enterprise channels and deploying massive capital to partner ecosystems:

Agent Gallery in Gemini Enterprise: Startups can now monetize their customized agents directly inside the Gemini Enterprise app via Google Cloud Marketplace. This reaches millions of users right in their daily workflows and turns everyday user discovery into an automated procurement flow for IT, accelerating purchasing cycles by up to 50%.
$750-million fund: A capital injection dedicated to partner agent development and co-marketing, designed to fuel the next generation of AI builders.

What it means for startups Building the product is only half the battle; surviving enterprise procurement is the other. By integrating into the Agent Gallery, your startup can reach millions of Gemini Enterprise users directly in their daily workflow, where they can easily click to request IT procurement. Plus, their purchases can draw down on existing Google Cloud commitment, allowing you to tap into a $240 billion backlog. Paired with the $750-million partner innovation fund, Google is putting capital and distribution directly behind your growth.

Start building with the AI Agents Challenge

We’ve given you the architecture, the security, and the distribution channels — now it’s time to get hands-on. To help you accelerate your development, we are launching the Google for Startups AI Agents Challenge. Open globally to eligible startup founders and developers, this six-week competition equips your team with $500 in cloud credits and access to our latest AI tools, including Gemini Enterprise, so you can build autonomous systems and compete for a share of a $90,000 prize pool.

We’re offering separate tracks, whether you want to build a net-new agent from scratch, optimize an existing prototype for production, or prep a business-ready agent for enterprise distribution, there is a track tailored to your exact stage. Submissions are open until June 5, 2026, and will be evaluated on technical implementation, business case, innovation, and your final demo. Learn more and sign up for the challenge here.

Startups are building the next big thing with Google Cloud AI

Wed, 22 Apr 2026 12:00:00 +0000

The future is taking shape in Las Vegas this week, where the world’s leading startups are showcasing their groundbreaking AI work at Google Cloud Next. Whether they need the top AI models, infrastructure purpose-built for the most demanding workloads, intelligent multi-model databases, or security and sovereignty solutions to grow with confidence — or all of the above — startups of all sizes and in every industry are choosing Google Cloud.

To take one example of thousands, Lovable, the popular software creation platform, utilizes Google Cloud infrastructure and builders are now creating over 200,000 new projects on Lovable every day. OpenEvidence, a medical AI platform widely used by U.S. physicians, uses Google's AI tools to provide evidence-based answers at the point of care; the company recently announced major partnerships with Wiley and Mount Sinai, expanding access to trusted medical research and to its AI assistant.

This week at Next we’re announcing even more startups who are starting or expanding their work with Google Cloud. These include leading names in areas like vibe coding, model training and inference; healthcare and life sciences; image generation; financial services; gaming and much more. It also includes an exciting new group of startups who have recently begun accessing GPU-based AI compute through Google Cloud’s AI Hypercomputer, thanks to our deep technical partnership with NVIDIA.

Google Cloud has always offered startups the entire AI stack in one unified place, giving founders maximum velocity. With new exciting launches at Next ‘26, the options and opportunities are only growing.

We’re helping you build complex agents faster with Gemini Enterprise Agent Platform, optimize compute needs with two differentiated TPU offerings for inference and training, reduce data friction with our next-gen cross-cloud Lakehouse, and better govern everything with the help of Wiz AI agents and Google-scale threat intelligence, to name just a few advances. We’ve also unveiled the ability to sell your AI solutions directly to enterprise users through marketplace integrations in Gemini Enterprise.

Supporting startup innovation across categories

If there was any question of just how dramatically AI is transforming every facet of work and life, look no further than the innovations being brought to market by our startup customers.

Coding and developer tools

Emergent AI uses Google Kubernetes Engine (GKE) as its core infrastructure to orchestrate thousands of on-demand, isolated development sandboxes for vibe coding. By leveraging GKE Autopilot for automated scaling and Gemini models for code generation, the platform transforms natural language prompts into live, production-ready applications with instant previews.
Lovable is expanding its work with Google Cloud and launching a new coding agent, now available to purchase through Google Cloud Marketplace and Gemini Enterprise.
Parallel builds high accuracy web search and research APIs, purpose-built for AI agents. Leveraging Google Cloud offerings including Gemini, BigQuery, BigTable, and Spanner has enabled them to build, launch and massively scale their platform since launching in August 2025.
Temporal partnered with Google Cloud to build a unique Application Development Kit (ADK) integration. This enables organizations to deploy agentic systems for mission-critical use cases that require strong execution guarantees, uptime, auditability, and operational resilience.

Customer engagement

Satisfi Labs is an agentic AI platform designed to transform customer engagement for destinations and experiences, serving 800 clients across sports, entertainment, and tourism. They are built on the Google Cloud ecosystem and leverage technologies including Gemini, BigQuery, AlloyDB, and Datastream to enable intelligent interactions, scalable data processing, and real-time insights.
Vapi, a platform for developers creating conversational voice AI, leverages Gemini as its intelligence core, allowing developers to maximize their compute-per-dollar while delivering a premium voice experience with incredible scale.
Vurvey Labs leverages Gemini Enterprise Agent Platform to build agent populations and simulated worlds that predict human behavior and future needs.
ZenBusiness utilizes Gemini Enterprise Agent Platform to simplify business ownership, including the launch of 'Velo,' an AI assistant for formation, compliance, and website building.

Document intelligence

Reducto leverages Gemini Enterprise Agent Platform and AI Studio alongside its core models to automate high-stakes workflows and power production AI pipelines at scale.

Finops

Mavvrik is a FinOps platform using Gemini and BigQuery to power their unified cost management platform for FinOps, IT, and finance leaders to gain visibility, automate allocation, and govern spending across public clouds, private clouds, AI workloads, and SaaS applications.

Generative media

ComfyUI is streamlining complex node-based gen media production by integrating Nano Banana Pro while improving the consistency of their customer experience using Provisioned Throughput.
Gamma used by over 70 million people to create presentations, documents, websites, and social posts, uses Nano Banana 2 to instantly generate localized visuals and transform ideas into ready-to-share content in seconds.

Industry AI

Chorus, spun out of Alphabet’s X innovation arm, is building AI orchestration tools to transform how physical assets are made, moved, and managed across industries. Leveraging Gemini Enterprise Agent Platform, advanced machine learning, and proprietary algorithms, Chorus provides granular asset-level visibility, temperature intelligence, and dynamic delivery estimates across mission-critical supply chains.
ExaCare AI, an AI platform for post-acute care operations, is using Gemini Enterprise Agent Platform and Gemini for inference and to process clinical and operational data across admissions and reimbursement workflows.
Industrility, an AI-powered aftersales platform for machine manufacturers, built a maintenance intelligence engine on Google Gemini’s advanced language models, extracting critical maintenance tasks and reducing a two-month manual project to three hours.
Insilica uses Gemini Enterprise Agent Platform to process millions of toxicology regulatory documents and thousands of databases into a unified, agentic risk assessment platform.
Proximal Health utilizes DocAI to automate the insurance claims adjudication process.
Stord, which offers fulfillment and software for omnichannel retail, leverages Gemini Enterprise Agent Platform to build ML models that predict estimated delivery dates and optimize demand planning across millions of orders, all grounded in real data behind over $10B in annual Gross Merchandise Value.
Stylitics uses Gemini Enterprise Agent Platform to power more than 1,000 AI programs for world-class retailers, including AI image generation, outfitting and styling, and AI analytics.
Wand uses Gemini Enterprise Agent Platform to power Game Guide, a contextual companion built into their single-player PC gaming platform, that helps players get unstuck, uncover hidden content, and stay immersed without ever leaving the game window.

Productivity

Notion is at the forefront of integrating artificial intelligence into productivity tools, leveraging Gemini models to power its text and image generation capabilities.

Sustainability

Watershed, a leading enterprise climate platform, is leveraging Google Cloud to transform sustainability data into actionable climate intelligence, accelerating global decarbonization and enabling organizations to move from measurement to action at an unprecedented scale.

Supporting model training and inference with NVIDIA AI infrastructure

Today, when the world’s most innovative startups need to access NVIDIA’s cutting-edge GPU-powered compute, many of them rely on Google Cloud. Our longstanding partnership with NVIDIA allows these startups to train and serve AI models, support fine-tuning, and scale new agentic workloads.

This week at Google Cloud Next, we’re highlighting the successes these customers are having and announcing exciting new partnerships with more startups choosing to utilize NVIDIA AI infrastructure and Google Cloud’s AI stack.

These new and expanding customers include:

Thinking Machines Labs will utilize the latest NVIDIA Blackwell chips through Google Cloud, including being among the first Google Cloud customers to utilize GB300s. In early testing, Thinking Machines has seen training and serving speed increase 2x on GBs compared to prior generation chips.
GMI Cloud leverages Google Cloud’s GPU infrastructure to run its inference-optimized platform, powering GMI Studio workflows and large-scale model serving across text, image, and video. This infrastructure supports high utilization driven by growing demand for real-time, production-grade AI applications.
Inferact is developing vLLM, a highly performant and easy to use inference engine for open source LLMs on data center hardwares, utilizing a cluster of NVIDIA GB200’s on Google Cloud, as well as services like Managed Lustre and Cloud Filestore.
Neuraldefend is partnering with Google Cloud and NVIDIA to utilize H100 and L4 GPUs for model training and production inference for their real-time deepfake detection engine and digital trust solutions.
Nucleus AI is utilizing a cluster of NVIDIA H100 GPUs through Google Cloud for model training.
Reflection has expanded its usage of G4 VMs through Google Cloud, as well as services like Google Cloud Storage to support training and inference for its open-weight models.
Reve uses A3 Mega (NVIDIA H100 GPUs) and A3 Ultra (NVIDIA H200 GPUs) instances on Google Cloud to handle their intensive multimodal foundation model training and inference. They also use GKE to manage their high performance training needs.

Startups most commonly access NVIDIA GPUs through Google Cloud G4 VMs, powered by NVIDIA’s latest Blackwell infrastructure. We’re also excited to offer NVIDIA’s Vera Rubin architecture to startups later this year. Our deep partnership with NVIDIA means that the Google Cloud AI Hypercomputer is highly optimized for GPU customers and can deliver ultra-low latency, high-throughput, and cost-effective performance across multiple use cases.

Startups are choosing to utilize GPUs through Google Cloud in part because of this high level of optimization and because they can easily access highly differentiated technologies in our AI stack like Gemini Enterprise, Agent Builder, BigQuery, Google Kubernetes Engine, and much more.

We also continue to partner closely with NVIDIA to support early-stage startups with AI compute and cloud services through NVIDIA’s Inception program and our Google for Startups Cloud Program. This includes exciting startups like:

Aible, which is building long‑running enterprise AI agents. They are accessing GPUs on Google Cloud to help them run Nemotron 3 and NemoClaw agents directly on BigQuery, orchestrate multi‑agent blueprints like the Intelligent Warehouse, and deploy serverless RTX‑accelerated inference on Cloud Run.
Baseten provides a managed inference platform that optimizes model serving for large language and vision models. They are accessing GPUs on Google Cloud to help them deploy NVIDIA‑accelerated inference with improved tokens‑per‑second, cost‑per‑1K requests, and GPU utilization for customers running production gen AI workloads.
CodeRabbit builds AI-driven workflows for code review, supported by Nemotron models via Google Enterprise Agent Platform, delivering low-latency PR summarization, embedding-powered context enrichment, and scalable concurrent review pipelines.
Factory AI develops autonomous code-editing agents that can traverse complex code graphs, resolve dependencies, and generate safe patches against real production repositories. Nemotron models in Gemini Enterprise Agent Platform allow Factory AI to power Nemotron Super-driven "droids" that perform semantic code search, tool-augmented reasoning such as grep and static analysis, and multi-file refactoring plans at scale.
Mantis AI is creating a video‑native intelligence layer for media and entertainment companies across Latin America. Through NVIDIA’s Inception program and its collaboration with Google Cloud, Mantis AI operates high‑throughput inference pipelines, rigorously benchmarks fine‑tuned model variants, and experiments with NVIDIA NIM, Blueprints, and vector search services to deliver production‑ready stacks that help broadcasters and streamers move from analyzing video to orchestrating it at scale.
Photoroom specializes in diffusion‑ and transformer‑based vision models that generate and edit product imagery. Photoroom processes over 1,000 images per minute. They use TensorRT for a 4x speedup and xformers to make their Stable Diffusion pipelines 100% faster. They’ve consumed over 500,000 GPU hours on Google Cloud without issue.

Sell agents directly in Gemini Enterprise

For AI startups, navigating enterprise procurement is often a bottleneck to growth. By integrating the Google Cloud Marketplace into Gemini Enterprise, we're providing a global commercialization engine to accelerate procurement.

Today at Next, we’re announcing an exciting group of more than 70 startups who are bringing their agents to our Marketplace.

And, to help even more startups build agents and bring them to market, we are launching a new $750 million dollar fund to support agent development and marketing for our partners. You can read more about this new funding here.

Presenting the Gemini Startup Forum

In June, we’re hosting our Global Gemini Startup Forum, a two-day, in-depth gathering of founders from seed to Series A startups. At the event, attendees will engage with Google leaders and engineers, build and scale products, and share feedback with teams across our AI portfolio. Take a deeper look at the program and register your interest for upcoming editions.

Building on that momentum, we’re also excited to share that applications are open for our next program: the Gemini Startup Forum: Cybersecurity, taking place in London later this year. If your startup is utilizing AI to build the next generation of security solutions, we invite you to apply to join us!

Join the Google for Startups AI Agents Challenge

Startups, it's your chance to get hands-on right away. We’re excited to launch the Google for Startups AI Agents Challenge at Next 2026.

Open to anyone (not just Next attendees), this global competition runs for six weeks and gives teams $500 in credits and the tools — like the new Gemini Enterprise Agent Platform — to build autonomous systems and compete for a share of a $90,000 prize pool.

The challenge, which opens for submissions today, and runs until June 5, 2026, offers three tracks tailored to where you are in your development journey. You can build a net-new agent from scratch, optimize an existing prototype for production reliability, or refactor a business-ready agent for potential enterprise distribution on Google Cloud Marketplace and the Gemini Enterprise app.

Submissions will be evaluated based on the following weighted criteria: Technical Implementation (30%), Business Case (30%), Innovation and Creativity (20%), and Demo and Presentation (20%). Learn more here and sign-up now.

Read the new Future of AI: Perspectives on generative media for Startups report

Our Future of AI: Perspectives on generative media for Startups report compiles exclusive interviews with eight startup founders, investors, and Googlers to capture their candid advice, strategic priorities, and predictions for the industry's future.

Understanding these firsthand founder perspectives will be instrumental in helping you navigate the next wave of AI-driven content creation and build the future of generative media on Google Cloud — and maybe find yourself featured on a list like this at a future Next.

Small and midsize businesses jumpstart their AI transformations with Gemini Enterprise

Wed, 22 Apr 2026 12:00:00 +0000

Small businesses are the backbone of the global economy. With 400 million SMBs worldwide and 36 million in the U.S. alone, they provide 50% of global employment. Now, with Google Cloud AI, they’re scaling faster, operating more efficiently, and delivering better results for their customers.

For years SMBs have been working with cutting edge products like Google Workspace, Google Ads, Search, YouTube, Maps, Google Wallet, and more to grow their business. Now, more SMBs are taking the first big steps in their AI journeys with our leading models and our agentic platform, Gemini Enterprise.

By making AI accessible to every employee, Gemini Enterprise serves as a launchpad for SMBs ready to develop an AI strategy and build new solutions to work smarter than ever before.Businesses are using AI to automate manual tasks and build custom solutions that extend their reach and help them better support their own customers.

We are proud to support these early milestones, and at Next we’re excited to showcase dozens of new customer partnerships with organizations taking their first steps toward an AI-driven future. Read on to explore their success stories and find our guide to the best SMB resources at Google Cloud Next ’26.

How Gemini Enterprise helps SMBs solve complex challenges

Across the globe, small and medium businesses are using AI to help grow their business. Here’s just a few of the many exciting examples of how SMBs are already benefiting from the secure, scalable, enterprise-grade tools in Gemini Enterprise:

Apex Leaders, a US-based business services company, is using Gemini Enterprise to power an internal search engine, providing easy access to internal data sources and automated information summarization and content drafting for consultant teams.
ARCHINERGY, a US based architecture firm, utilized Gemini Enterprise to create an AI agent that answers questions about architectural design and internal documentation, generating faster insights in just a fraction of the time compared to traditional search methods.
Constructora Las Galias, a Colombia-based construction firm, is using Gemini Enterprise to power a centralized internal knowledge platform, providing streamlined sales and legal workflows and immediate employee access to critical business information.
Eficode, which operates as a software development and DevOps firm within Finland, is using Gemini Enterprise to create a multi-platform support engine that quickly indexes complex internal wikis, so employees can provide customers with faster technical support
Grant Thornton Chile, a leading audit and consulting firm, is using Gemini Enterprise to enhance its agile management by powering secure financial data validation, accelerating HR and sales questions, and enabling unified search across disparate document types.
Grupo Ruiz, a leading Spanish company in sustainable mobility, uses Gemini Enterprise to improve team productivity and process efficiency, achieving an optimized workflow and greater data visibility
Huge, an American business services agency, utilized Gemini Enterprise to create AI agents that automate market research and contract analysis, generating new business intake in just minutes compared to several days.
Incrementa, a Chilean marketing company, is using Gemini Enterprise to automate client reporting and data analysis, helping it scale personalized service and boost campaign reach by 40%.
Koufu, one of Singapore's largest food and beverage companies, which operates and manages a large network of food courts and coffee shops, is using Gemini Enterprise to automate sales reporting and BigQuery data analysis. This reduces spreadsheet bottlenecks so shop managers can focus on front-of-house service quality.
La Maison du Whisky (whisky.fr), a specialized spirits and beverages retailer in France and internationally, chose Gemini Enterprise to create a 'Digital Sommelier' that transforms technical product data into high-end storytelling and marketing copy in seconds
SAI360, a US-based software company, is using Gemini Enterprise to power the design, production, and localization of ethics training, achieving 99% faster course creation and a 95% reduction in training media production costs.
Tauá Resorts group is using Gemini Enterprise to create an intelligent agent that generates real-time insights and dialogue suggestions. This technology allows the sales team to answer complex questions instantly, leveraging data from previous events to craft the perfect proposal for every client.
Tirol, a leading dairy producer in Brazil, is using Gemini Enterprise to create an interactive knowledge base, providing democratized data access and enhanced visibility across its entire value chain.
Wimberly Allison Tong & Goo leverages Gemini Enterprise to streamline digital planning, landscape, architecture and interior design workflows and visual queries, enabling the International Hospitality Design firm to accelerate the transitions from idea generation to design concepts and high-fidelity visualizations.

Practical Resources for Lean Teams at Next ‘26

At Google Cloud Next 2026, we are showcasing how SMBs can enhance their impact by integrating AI into their daily workflows. For attendees focused on maximizing impact with focused resources, we have curated a dedicated track to help you navigate the AI era.

When browsing the Session Library, use the Small IT Team filter to find deep dives into:

Cost Optimization: How to deploy AI effectively and manage resources on a budget that’s right for your goals.
Low-Code AI: Training on how to accelerate your business goals by building custom apps and agents.
Adaptive Security: Proactive defense strategies designed to provide enterprise-grade protection regardless of your security team's size.

Get Started Today

If you can’t make every session, we’ve made it easy to keep the momentum going:

The AI Starter Kit: A streamlined, four-step guide to deploying Cloud AI across your organization.
Monthly AI Newsletter: Sign up to receive the latest industry highlights and Cloud AI updates all year long.

Check out the full SMB guide here and start planning your itinerary. See you there!

Technical guide: Four steps for startups to build multi-agent systems

Thu, 13 Nov 2025 17:00:00 +0000

AI agents are transforming the nature of work by automating complex workflows with speed, scale, and accuracy. At the same time, startups are constantly moving, growing, and evolving – which means they need clear ways to implement agentic workflows, not piles of documentation that send precious resources into a tailspin.

Today, we’ll share a simple four-step framework to help startups build multi-agent systems. Multi-agentic workflows can be complicated, but there are easy ways to get started and see real gains without spending weeks in production.

In this post, we’ll show you a systematic, operations-driven roadmap for navigating this new landscape, using one of our projects to provide concrete examples for the concepts laid out in the official Startups technical guide: AI agents.

Step #1: Build your foundation

The startups technical guide outlines three primary paths for leveraging agents:

Pre-built Google agents
Partner agents
Custom-built agents (agents you build on your own).

To build our Sales Intelligence Agent, we needed to automate a highly specific, multi-step workflow that involved our own proprietary logic and would eventually connect to our own data sources. This required comprehensive orchestration control and tool definition that only a "code-first" approach could provide.

That’s why we chose Google's Agent Development Kit (ADK) as our framework. It offered the balance of power and flexibility necessary to build a truly custom, defensible system, combined with high-level abstractions for agent composition and orchestration that accelerated our development.

Logical flow on how our agent works

Step #2: Build out the engine

We took a hybrid approach when building our agent architecture, which is managed by a top-level root_agent in orchestrator.py. Its primary role is to act as an intelligent controller using an LLM Agent for flexible user interaction, while delegating the core processing loop to more deterministic ADK components like LoopAgent and custom BaseAgent classes.

Conversational onboarding: The LLM Agent starts by acting as a conversational "front-door," interacting with the user to collect their name and email.
Workflow delegation: Once it has the user's information, it delegates the main workflow to a powerful LoopAgent defined in its sub_agents list.
Data loading: The first step inside the LoopAgent is a custom agent called the CompanyLoopController. On the very first iteration of the loop, its job is to call our crm_tool to fetch the list of companies from the Google Sheet and load them into the session state.
Tool-based execution in a loop: The loop processes each company by calling two key tools: the research_pipeline tool that encapsulates our complex company_researcher_agent and the sales_briefing_agent tool that encapsulates the sales_briefing_agent. This "Agent-as-a-Tool" pattern is crucial for state isolation (more in Step 3).

This hybrid pattern gives us the best of both worlds: the flexibility of an LLM for user interaction and the structured, reliable control of a workflow agent with isolated, tool-based execution.

Step #3: Tools, state, and reliability

An agent is only as powerful as the tools it can wield. To be truly useful, our system needed to connect to live data, not just a static local file. To achieve this, we built a custom tool, crm_tool.py, to allow our agent to read its list of target companies directly from a Google Sheet.

To build our read_companies_from_sheet function, we focused on two key areas:

Secure authentication: We used a Google Cloud Service Account for authentication, a best practice for production systems. Our code includes a helper function, get_sheets_service(), that centralizes all the logic for securely loading the service account credentials and initializing the API client.
Configuration management: All configuration, including the SPREADSHEET_ID, is managed via our .env file. This decouples the tool's logic from its configuration, making it portable and secure.

This approach transformed our agent from one that could only work with local data to one that could securely interact with a live, cloud-based source of truth.

The "Agent-as-a-Tool" Pattern for managing state in loops: A critical challenge in looping workflows is ensuring state isolation between iterations. ADK's session.state persists, which can cause 'context rot' if not managed. Our solution was the "Agent-as-a-Tool" pattern. Instead of running the complex company_researcher_agent directly in the loop, we encapsulated its entire SequentialAgent pipeline into a single, isolated AgentTool (company_researcher_agent_tool).

Every time the loop calls this tool, the ADK provides a clean, temporary context for its execution. All internal steps (planning, QA loop, compiling) happen within this isolated context. When the tool returns the final compiled_report, the temporary context is discarded, guaranteeing a fresh start for the next company. This pattern provides perfect state isolation by design, making the loop robust without manual cleanup logic.

Step #4: Go from Localhost to a scalable deployed product

Here is our recommended three-step blueprint for moving from a local prototype to a production-ready agent on Google Cloud.

1. Adopt a production-grade project template
Our most critical lesson was that a simple, local-first project structure is not built for the rigors of the cloud. The turning point for our team was adopting Google's official Agent Starter Pack. This professional template is not just a suggestion; for any serious project, we now consider it a requirement. It provides three non-negotiable foundations for success out of the box:

Robust dependency management: It replaces the simplicity of local tools like Poetry with the production-grade power of PDM and uv, ensuring that every dependency is locked and every deployment is built from a fast, deterministic, and repeatable environment.
A pre-configured CI/CD pipeline: It comes with a ready-to-use continuous integration and deployment pipeline for Google Cloud Build, which automates the entire process of testing, building, and deploying your agent.
Multi-environment support: The template is pre-configured for separate staging and production environments, a best practice that allows you to safely test changes in an isolated staging environment before promoting them to your live users.

The process begins by using the official command-line tool to generate your project's local file structure. This prompts you to choose a base template; we used the "ADK Base Template" and then moved our agent logic into the newly created source code files (App) .

code_block: <ListValue: [StructValue([('code', '# Ensure pipx is installed\r\npip install --user pipx\r\n\r\n# Run the project generator to create the local file structure\r\npipx run agent-starter-pack create your-new-agent-project'), ('language', ''), ('caption', <wagtail.rich_text.RichText object at 0x7f10b28e52b0>)])]>

The final professional project structure:

code_block: <ListValue: [StructValue([('code', 'final-agent-project/\r\n├── .github/ # Contains the automated CI/CD workflow configuration\r\n│ └── workflows/\r\n├── app/ # Core application source code for the agent\r\n│ ├── __init__.py\r\n│ ├── agent_engine_app.py\r\n│ ├── orchestrator.py # The main agent that directs the workflow\r\n│ ├── company_researcher/ # Sub-agent for performing research\r\n│ ├── briefing_agent/ # Sub-agent for drafting emails\r\n│ └── tools/ # Custom tools the agents can use\r\n├── tests/ # Automated tests for your agent\r\n├── .env # Local environment variables (excluded from git)\r\n├── pyproject.toml # Project definition and dependencies\r\n└── uv.lock # Locked dependency versions for speed and consistency'), ('language', ''), ('caption', <wagtail.rich_text.RichText object at 0x7f10b28e5d90>)])]>

With the local files created, the next step is to provision the cloud infrastructure. From inside the new project directory, you run the setup-cicd command. This interactive wizard connects to your Google Cloud and GitHub accounts, then uses Terraform under the hood to automatically build your entire cloud environment, including the CI/CD pipeline.

code_block: <ListValue: [StructValue([('code', '# Navigate into your new project directory\r\ncd your-new-agent-project\r\n\r\n# Run the interactive CI/CD setup wizard\r\npipx run agent-starter-pack setup-cicd'), ('language', ''), ('caption', <wagtail.rich_text.RichText object at 0x7f10b28e5820>)])]>

2. Cloud Build
Once the setup is complete with the starter pack, your development workflow becomes incredibly simple. Every time a developer pushes a new commit to the main branch of your GitHub repository:

Google Cloud Build fetches your latest code.
It builds your agent into a secure, portable container image. This process includes installing all the dependencies from your uv.lock file, guaranteeing a perfect, repeatable build every single time.
It deploys this new version to your staging environment. Within minutes, your latest code is live and ready for testing in a real cloud environment.
It waits for your approval. The pipeline is configured to require a manual "Approve" click in the Cloud Build console before it will deploy that exact same, tested version to your production environment. This gives you the perfect balance of automation and control.

3. Deploy on Agent Engine and Cloud Run
The final piece of the puzzle is where the agent actually runs. Cloud Build deploys your agent to Vertex AI Agent Engine, which provides the secure, public endpoint and management layer for your agent.

Crucially, Agent Engine is built on top of Google Cloud Run, a powerful serverless platform. This means you don't have to manage any servers yourself. Your agent automatically scales up to handle thousands of users, and scales down to zero when not in use, meaning you only pay for the compute you actually consume.

Get started

Ready to build your own?

Explore the code for our Sales Intelligence Agent on GitHub.
Dive deeper with the Startups technical guide: AI agents.
Get started with production deployments using the Agent Starter Pack.
No matter where you are with AI adoption, we are here to help. Contact our Startup team today and you could get up to $350,000 USD in cloud credits with the Google for Startups Cloud Program,

^{The technical journey and insights detailed in this blog post were the result of a true team effort. I want to extend my sincere appreciation to the core collaborators whose work provided the foundation for this article: Luis Sala, Isaac Attuah, Ishana Shinde, Andrew Thankson, and Kristin Kim. Their hands-on contributions to architecting and building the agent were essential to the lessons shared here.}

Want to get building production-ready AI agents? Here’s where startups should start.

Tue, 07 Oct 2025 21:00:00 +0000

Startups are using agentic AI to automate complex workflows, create novel user experiences, and solve business problems that were once considered technically impossible. Still, charting the optimal path forward — especially with the integration of AI agents — often presents significant technical complexity

To help startups navigate this new landscape, we’re launching our Startup technical guide: AI agents. It provides a systematic, operations-driven roadmap for embracing the potential of agentic systems.

What does this potential look like? AI agents combine the intelligence of advanced AI models with access to tools so they can take actions on your behalf, under your control. Unlike traditional AI, agentic AI can break down intricate tasks, refine plans, and dynamically utilize external resources and tools. The key takeaway is that AI agents can tackle complex, multi-step problems, ultimately transforming from a passive tool into a proactive problem-solver.

If your startup is looking to get in on the agentic AI action, here are some initial steps to consider. And when you’re ready to get building, you can get more details in our guide or even reach out to one of our AI experts at Google Cloud.

Choose your path: Build, use, or integrate

Every startup’s journey is unique, which is why Google Cloud offers a flexible agent ecosystem that supports the comprehensive development of agentic systems. You can:

Build your own agents: For teams that require a high degree of control over agent behavior, the open-source Agent Development Kit (ADK) is your go-to development framework. ADK is built for a custom, code-first approach, empowering developers to build, manage, evaluate, and deploy AI-powered agents. For an application-first approach, Gemini Enterprise orchestrates your entire AI workforce and empowers non-technical team members to build custom agents using a no-code designer.
Use Google Cloud agents: With rapid prototyping and easy ways to integrate AI into your existing apps, managed agents let you focus on core business logic rather than managing infrastructure. Gemini Code Assist is an AI-powered assistant for developers, while Gemini Cloud Assist is an AI expert for your Google Cloud environment.
Bring in partner agents: For more specialized use cases, you can easily integrate third-party or open-source agents into your stack via the Google Cloud Marketplace. You can also explore the Agent Garden to deploy prebuilt ADK agents that already support data reasoning and inter-agent collaboration.

No matter which path you choose, our ecosystem is designed for interoperability, built on open standards like the Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol.

4 steps for building your first agent

The Startups technical guide: AI agents provides a complete roadmap for building production-ready AI agents. Here’s four core steps we’ve identified that can help define your first agent, using Agent Development Kit (ADK).

Step 1: Give your agent an identity

First, define your agent's core identity. You’ll want to give it a unique name for logging and delegation, a clear description of its capabilities so other agents can route tasks to it, and identify the right AI foundation model (like Gemini 2.5 Pro or Gemma) to power its reasoning. Precision here is critical. The model you’re using treats every part of this definition as a prompt, and vague descriptions can lead to "context poisoning," causing the agent to pursue incorrect goals.

Step 2: Write the “prime directive" with instructions

Next, give your agent its "prime directive" using the instruction parameter. This is where you define its persona, core objectives, and do's and don'ts. Effective instructions clearly specify the desired outcomes for your agent, provide examples for complex tasks (e.g. few-shot prompting), and guide the agent on how to use its tools.

Step 3: Grant superpowers with tools

Transform your agent from a pure conversationalist into a system that can take action by equipping it with functions to call external APIs, search databases, or interact with other systems. In doing so, you grant it broader capabilities. For example, a bug assistant agent uses tools to fetch user details from a CRM or create a ticket in a project management system. Since the agent chooses which tool to use based on its name and description, making them clear and unique is crucial to avoid looping behaviors or incorrect actions.

Step 4: Master the lifecycle: test, deploy, operate

Building an agent is a continuous cycle, not a one-off task. Because agentic systems are non-deterministic, standard unit tests are insufficient. Our guide shows you how to evaluate an agent’s "trajectory" — its step-by-step reasoning — to ensure quality and reliability. This operational rigor, which we call AgentOps, is key to confidently deploying your agent on platforms like Vertex AI Agent Engine or Cloud Run and operating it safely in production.

Agents already in action

Startups are constantly innovating their agentic journeys , here’s a look at two startups that use Google Cloud's models and architecture to run their agentic systems:

Actionable insights for better employee engagement

Wotter, a provider of next-generation Employee Engagement solutions, seeks to better understand what employees want and empower organizations with the insights they need to get the best out of their people by asking the right question to the right person at the right time.

Gemini 2.5 Flash was the right foundation model for Wotter’s smart assistant, blending speed with long-context reasoning. Wotter’s Flash models use agentic methods to manage extensive and ongoing sources of data, such as employee interactions and feedback, while still responding to queries on this data in seconds - and at a lower cost per query.

Eliminate a long-standing legal industry pain point

As people in the legal industry know too well, complex document reviews can ruin nights and weekends while turning focus away from strategic work. Enter Harvey, which is equipping legal professionals with domain-specific AI to maximize efficiency and keep legal professionals’ attention on activities that move the needle for their firms and clients.

Harvey evaluated several foundation models and ultimately found that Gemini 2.5 Pro achieved the leading score of 85.02% on its BigLaw Bench benchmark, the first of its kind to represent complex legal tasks. Gemini 2.5 Pro showcased strong reasoning across inputs consisting of hundreds of pages of materials—a common scenario in legal work. The model then used these materials to generate longer-form and comprehensive outputs, enabling deeper insights and analyses.

These core capabilities proved Gemini 2.5 Pro’s potential across complex legal work that requires reasoning over large sets of documents to support diligence, review, and use case drafting. Further, Vertex AI provides the stringent security and privacy guarantees that build trust in the Harvey platform among clientele. Gemini and Vertex AI are now an important part of Harvey’s vision for future product development.

Build what's next, faster

The Startup technical guide: AI agents provides the blueprint your team needs to turn your vision into a production-ready reality. By using a code-first framework like ADK and the operational principles in this guide, you can move beyond informal “vibe-testing” to a rigorous, reliable process for building and managing your agent’s entire lifecycle. For your startup, this disciplined approach becomes a powerful competitive advantage.

No matter where you are with AI adoption, we are here to help. Contact our Startup team today and you could get up to $350,000 USD in cloud credits with the Google for Startups Cloud Program,

150 of the latest AI use cases from leading startups and digital natives

Tue, 07 Oct 2025 09:37:00 +0000

We recently hosted our first-ever AI Builders Forum, where we gathered with hundreds of the top founders, VCs, advisors, researchers, and teams powering the startups who are building the future with AI. And now, this week, many of us are together again in San Francisco for Tech Week.

A big reason for us to gather with our peers and the next generation of groundbreaking companies is that at Google Cloud, we’ve always worked to provide companies with the very same tools and infrastructure that power Google’s own services and drive our continued growth. In recent years, we have been able to take that to an entirely new level, making our leading generative AI technology available to even the youngest startups.

During the AI Builders Forum, we showcased the work of dozens of startups who have taken that technology in new and exciting directions. There’s so many more hard at work with Google Cloud that we wanted to highlight as many as we could. Here, we’ve gathered 150 to be exact, breaking them out by the sectors and specialties in which they’re creating exciting new offerings that are changing the way we work, create, collaborate, and cure.

For those looking to join their ranks, we encourage you to join our Google for Startups Cloud program, with access to valuable credits and advice from Google experts and experienced VCs. And when it comes to the especially hot segment of AI agents, we’ve just introduced our Startup Technical Guide: AI Agents. It’s an in-depth collection of best practices and step-by-step guidance for building and scaling agentic AI.

We hope this list serves as inspiration for your own work — and that you’ll find yourself being recognized soon enough, too. All it takes is the right AI, the right partners, a good team, and a great idea.

And if you're looking for even more inspiration, check out our freshly updated list of 1,001 AI use cases (including these ones) from across industries and around the globe.

Arize AI, an AI agent and engineering platform, partners with Google Cloud to help organizations successfully develop, evaluate, and observe their generative AI applications. The Arize AX platform seamlessly integrates with Vertex AI models and runs on Google Kubernetes Engine (GKE), which allows a very lean operations team to easily scale services and provide deep visibility into every layer of AI systems.
Augment Code, an AI coding assistant, integrated Anthropic’s Claude 3.5 Sonnet via Vertex AI to power its codebase chat feature. This delivered an instant improvement to chat performance after quick implementation, enhancing security and allowing customers to build and troubleshoot code faster.
Aviator, an engineering productivity platform, uses Google Kubernetes Engine, Vertex AI, and Gemini to scale its engineering productivity platform to thousands of users while accelerating the development of new generative AI features.
Cursor is an AI-powered code editor that integrates advanced AI features like autonomous agents and codebase-aware chat. It aims to create a highly effective human-AI programmer by automating tasks, understanding entire codebases, and accelerating development velocity, using models like Gemini and Anthropic's Claude on Google Cloud's Vertex AI.

aside_block: <ListValue: [StructValue([('title', 'Get started'), ('body', <wagtail.rich_text.RichText object at 0x7f10b5c966a0>), ('btn_text', 'Get in touch.'), ('href', 'https://cloud.google.com/contact/form?hl=nl'), ('image', <GAEImage: Startup Program>)])]>

DeepSource, a platform for code quality and security, leverages Gemini and Google Kubernetes Engine (GKE) to help developers automatically analyze and remediate code. The platform uses Gemini-powered AI agents for its Autofix™ remediation engine, which increases the accuracy of its static analysis and provides automated fixes. Running on GKE, DeepSource can automatically scale to process tens of millions of lines of code per day, reducing operational costs and accelerating time to market for over 6,000 companies.
Factory AI, a platform for agent-driven software development, accelerates engineering by unifying context from sources like GitHub and Jira to delegate tasks like feature development and migrations. It uses Gemini 2.5 Flash for data ingestion and Gemini 2.5 Pro for advanced code/document generation.
Fireworks AI, a generative AI platform, uses Google Kubernetes Engine and Compute Engine to run its fast and efficient inference engine. This enables the company to process over 140 billion tokens daily, offering customers high uptime and throughput with lower latency and costs.
Lovable, an AI software engineer, leverages Google Cloud's Vertex AI to deploy and unify its core language models, including Gemini and Anthropic's models. This unique orchestration enables users to create complete, full-stack web applications from plain English descriptions, effectively cutting the time required for prototype development from weeks to minutes and app development from months to hours.
Naologic, an AI application platform, uses Gemini APIs, Google Kubernetes Engine , and MongoDB Atlas on Google Cloud to build apps on top of legacy ERPs. The solution delivers fast query responses regardless of complexity, enabling powerful, natural-language chat and scaling for complex AI workloads like RAG and image search.
Qodo addresses critical code quality concerns with an agentic platform that works within existing developer workflows. Qodo integrates into Vertex AI Model Garden and provides automated pull request reviews at no cost to open-source projects.
Resolve AI, an always-on AI SRE, autonomously investigates incidents and helps run production systems using code, infrastructure, and observability data. With the intelligence and performance of Gemini on Vertex AI, Resolve AI improves MTTR, reliability, and engineering velocity for its customers.
Sieve, an AI research lab focused on video data, builds multimodal AI systems to automate dataset creation, improve data quality, and provide relevant metadata that powers frontier model training. Sieve uses Vertex AI for large-scale video processing, content moderation, and indexing, including tasks like text recognition, captioning, and enrichment.
Systalyze, an enterprise AI deployment platform, reduces the cost and complexity of AI. Through a partnership with Google Cloud, it reduces deployment costs by up to 90% and accelerates fine-tuning, inference, and agentic AI by 2–15x, while keeping data fully private and secure.
Turbopuffer, a startup offering serverless vector and full-text search, uses Google Cloud Storage, Google Kubernetes Engine, and Google Compute Engine to help AI businesses overcome the high costs and complexity of traditional database architectures. Its solution has reduced AI database cost by up to 90% for customers, manages over 1 trillion documents, and handles more than 10 million writes and 10,000 queries every second.
Vercel democratizes access to AI models through its AI SDK and AI Gateway, making it seamless for developers to integrate agentic capabilities into their applications. By providing unified access to leading models like Google's Gemini through a single interface, Vercel has enabled teams to build AI-powered features faster and more reliably.
VESSL AI, an MLOps platform, uses Google Cloud to accelerate AI model development and reduce costs for its users. By leveraging Google Kubernetes Engine, VESSL AI can dynamically scale ML workloads, helping users create AI models up to four times faster and realize up to 80% savings on cloud expenditures. The platform's integration with Vertex AI provides users with access to powerful models and AutoML solutions, further streamlining the MLOps lifecycle.
Windsurf provides an AI-powered code completion and generation tool for developers. Their AI integrates directly into IDEs, offering suggestions, generating code, and refactoring existing code. Windsurf uses Gemini 2.5 Pro to power its coding assistance IDE, and to support integrations with Cognition’s Devin AI.

Atropos Health, a healthcare data analytics company, optimized its GENEVA OS to work with Google Cloud’s Healthcare Data Engine (HDE) and BigQuery. This enables customers to efficiently and securely convert data into valuable insights and evidence.
Cerebra AI develops AI software for analyzing non-contrast CT (NCCT) scans, with a focus on early stroke and cancer detection. It fine-tunes MedGemma on NCCT images and leverages Gemini's few-shot generalization capabilities to rapidly adapt the model for various diagnostic tasks.
CitiusTech, a global Healthcare technology services firm, uses Google Cloud to improve patient experience, reduce administrative burden on clinical staff, and save costs for healthcare systems. The company has developed an AI search solution using Vertex AI to efficiently connect patients with the right specialists and automate critical workflows.
Congruence Therapeutics, a computationally driven biotechnology company, uses its proprietary platform, Revenir, to build a pipeline of small molecule correctors. The platform identifies novel allosteric and cryptic pockets in proteins to rescue aberrant function.
CoVet is an AI assistant built by veterinary professionals, for veterinary professionals, that uses Gemini, Cloud Functions, and other solutions to help veterinary teams automate administrative work, save hours every day, and refocus on what matters most: exceptional patient care.
Digital Diagnostics, a healthcare diagnostics company, uses Google Cloud’s secure infrastructure to enhance the reach of LumineticsCore, its AI-powered diagnostic tool for diabetic retinopathy. This approach protects sensitive health data and ensures patient privacy and regulatory compliance.
DNAstack, a leading genomics data management and analysis platform, leverages Google Cloud’s scalable infrastructure and advanced analytics tools to accelerate research and discovery in personalized medicine.
Evogene uses Google Cloud and Vertex AI to replace life sciences' costly "spray and pray" molecular discovery — testing millions of molecules hoping to stumble into effective ones — with their computational platform. They now process 40 billion molecules versus previous millions, while using Vertex AI to develop a cutting-edge small-molecule foundation model that dramatically accelerates drug discovery timelines.
GenBio AI, a computational biology company, uses Google Cloud to power six specialized AI models in developing AI-driven digital organism simulators. These models simulate biological programming to address critical challenges in medicine and biology.
Immunai tackles drug development's decade-long timeline with AMICA, the world's largest immune-focused single-cell database containing hundreds of millions of cells. Using Google Cloud GPU clusters, they train models that transform complex immune mechanisms into actionable recommendations for 30+ biopharmaceutical partners.
Infinitus, one of the most trusted agentic healthcare communications platforms, automates clinical and administrative conversations at scale. Our AI agents powered by Gemini's multimodal capabilities have completed over 5x more conversations than any other solution with payors, patients, and providers to drive revenue and improve health outcomes
iSono Health, a medical imaging company, developed a Virtual Sonographer, an intelligent, automated 3D Ultrasound platform powered by Google Cloud AI. The platform brings breast imaging directly to the point of care, providing fast, accessible, and repeatable imaging.
Menten AI, a biotechnology company, uses Google Cloud’s high-performance compute and machine learning capabilities to accelerate the development of peptide therapeutics. This allows the company to rapidly design and optimize novel drug candidates.
Moonwalk Bio, a preclinical-stage biotechnology company, leverages epigenetic biology and AI to pioneer new medicines for obesity and cardiometabolic disease. Their platform determines the causal relationships between genes and disease pathways for therapeutic targeting.
Pear Health Labs, a health and fitness AI platform, develops personalized interventions to prevent chronic conditions. It powers recommendations, content search, and dynamic audio coaching. It uses Vertex AI Voice Generation, Vector Search in BigQuery, and the engineering team leverages Gemini Code Assist.
Sami, a tech-enabled health insurance company in Brazil, built its entire infrastructure on Google Cloud from day one. The company uses AI tools such as Gemini, Notebook LM, and Vertex AI to transform healthcare delivery and accelerate critical processes like prescription validation to seconds. Sami enables information flow across its partners, delivering high-quality, accessible healthcare at scale.
SandboxAQ is expanding its usage of Google Cloud and running a new AI drug discovery simulation platform on Google Cloud.
Sully.ai, a healthcare AI company, has built an app store for AI agents designed specifically for healthcare professionals. The platform provides support to clinicians on administrative tasks, so they can focus on patients.
Tali.ai is the leading medical AI scribe platform, designed to reduce the administrative burden of clinicians. Integrated with multiple EMRs across the U.S. and Canada, it leverages Google’s Vertex and Gemini models to automate clinical note-taking during patient encounters and extract key insights.
Think Research, a provider of knowledge-based digital health software solutions, uses Google Cloud’s scalable infrastructure and analytics tools to power its platform. This enables the company to deliver more efficient patient care and improve health outcomes.
Ubie, a healthcare-focused startup founded in Japan, is using Gemini models via Google Cloud to power its physician assistance tool.
Ufonia, a clinical AI company, helps physicians deliver care by using AI to automate clinical consultations with patients. Google Cloud’s full AI stack, including infrastructure, models on Vertex AI Model Garden, BigQuery, and Google Kubernetes Engine, powers its platform by using AI to automate clinical consultations with patients. It is using Google Cloud’s full AI stack to power its platform, including infrastructure, models on Vertex AI Model Garden, BigQuery, and GKE.
Via Scientific, a bioinformatics company, partners with Google Cloud to deliver Via Foundry, an enterprise-grade platform that uses Gemini and Vertex AI to make the drug discovery process more efficient. The platform transforms complex biological data into actionable insights that can accelerate discoveries.
Virgo Surgical, a medical video solutions provider, uses Google Cloud Storage and Google Kubernetes Engine to host and process over 1.75 petabytes of video data. This data has been used to create EndoDINO, an AI foundation model for endoscopy that achieves high performance in medical imaging applications.

Gobii provides AI agents that automate complex web tasks like forms and workflows directly in the browser. To power these intelligent agents, Gobii leverages Google Cloud, utilizing Vertex AI and our scalable GKE infrastructure.
Hebbia, a legal and financial research company, integrated Gemini models into its Matrix platform to help organizations build AI agents capable of working across all of their data.
LiveX, customer service AI agents, uses Google Kubernetes Engine Autopilot and NVIDIA GPUs to power its platform. These technologies reduced total cost of ownership by 50% and operational costs by 66% while supporting an 85% reduction in customer support costs for one of its clients.
Parallel is using Gemini models to power new products including an API for AI agents to perform high-value tasks using web data.
Qualia Clear is an agentic system that transforms real estate closings by automating manual title & escrow workflows. It uses tool calling, Gemini 2.5 Flash & Pro, and Google Agent Development Kit to process emails and documents and simplify reporting, improving efficiency and customer service.
Replicant automates customer conversations for enterprise brands using voice and chat AI agents that replicate the expertise of your very best agents. Gemini helps Replicant deliver consistent service 24/7 that deploys quickly, scales effortlessly and continuously improves to boost ROI and CX.
Skyvern helps companies automate browser-based workflows with AI. Skyvern uses Large Language Models (LLMs) like Gemini 2.5 Pro and computer vision, to interact with websites, enabling it to automate tasks like filling out forms, procuring materials, and downloading invoices. Skyvern's AI agents can adapt to website changes, making automation more robust.
Torq uses agentic AI to automate the entire security operations lifecycle through Socrates, an AI SOC analyst that coordinates specialized agents. Running on Google Cloud's infrastructure, teams achieve 90% automation of tier-1 analyst tasks auto-remediated without human involvement, 95% decrease in manual tasks and10x faster response times.

Altumatim, a legal tech startup, uses a platform powered by Gemini on Vertex AI to analyze millions of documents for eDiscovery. This accelerates the process from months to hours, improves accuracy to over 90%, and enables attorneys to focus on building compelling legal arguments.
Anara, a generative AI research assistant, helps users find and understand scientific documents with verifiable AI summaries and insights. It uses Google Cloud's scalable infrastructure, AI Studio, and Cloud Functions to power its models and data processing for a global user base.
Clavata.ai delivers an integrated AI governance and safety platform with intelligent, multi-modal, real-time evaluation engine powered by Gemini. Our tools enable proactive policy enforcement, dynamic debugging, iteration, observability, and problem prevention.
Harvey, a legal AI company, uses Gemini 2.5 Pro on Vertex AI to automate complex document reviews, a major pain point in the legal industry. The platform provides domain-specific AI that can reason over hundreds of pages of materials, enabling legal professionals to maximize efficiency and focus on strategic work.
Inspira, a legal tech company, tackles the time-intensive challenge of legal document analysis by providing lawyers with an AI-powered solution built on Google Cloud. Leveraging Gemini, Vertex AI, and BigQuery, Inspira's platform automates legal document search, analysis, and drafting to reduce workflow times by 80%, allowing lawyers to find answers and relevant decisions in minutes or hours instead of weeks.
Instalily uses Google Cloud with Gemini 2.5 and Vertex AI to power InstaWorkers that transform sales, service, and operations. At a leading field service provider, InstaWorkers cut the technician’s diagnosis time from 15 minutes to under 10 seconds, lowered serving costs by 98 percent, and drove a 99 percent improvement in end-to-end workflow speed.
Markups.ai, an AI contract negotiation agent, turns a days-long human legal review into a minute(s) automated process. By simply emailing a contract, clients receive customized revisions and analysis almost instantly. Gemini 2.5 Pro enabled us to go from handling only first revisions of NDAs, to any revision of any contract (MSAs, DPAs, etc.).
monday.com, a work management platform trusted by more than 245,000 customers worldwide, leverages Veo to produce training videos, social content, and internal communications in a fraction of the time — empowering all employees, not just designers, to move faster and focus on impact.
NoBroker, a real estate platform, uses its ConvoZen AI, powered by Gemini and L4 GPUs, to automate customer support across multiple Indian languages. The platform processes 10,000 hours of recordings daily, with AI agents projected to handle 25-40% of future calls and save customers $1 billion annually.
ObraJobs, a job platform, connects candidates with relevant opportunities, streamline the hiring process, and deliver personalized recommendations for both job seekers and employers. Obra uses Vertex AI to power candidate matching and personalized job recommendations, supported by Cloud Storage, Cloud Run, Cloud Scheduler, Cloud Tasks, and Firestore.
Provenbase has built its talent recruitment tool for businesses on Google Cloud and is now powering its transformative Deep Search for talent feature using Google Cloud AI.
Story, an intellectual property startup that powers licensing and monetization services, is working with Google Cloud’s web3 services and infrastructure to bring new capabilities to developers on its platform.
Upwork, the world's human and AI-powered work marketplace, connects businesses with independent professionals. By leveraging Vertex AI Text to Speech API, Upwork delivers faster, more accurate talent matching and hiring efficiency for clients and freelancers.
Wotter, an employee engagement platform, uses a Gemini-powered smart assistant and Google Cloud's robust AI capability to provide real-time insights into employee sentiment. It accurately predicts flight risks and offers actionable "Wott-if" scenarios, enabling leaders to build a data-driven people strategy.

Bynry's SMART360 leverages Google Cloud’s robust infrastructure to empower small and mid-sized utilities to enhance operational efficiency and customer satisfaction.
Kraftblock, a green tech company, uses Google Cloud Compute Engine to run simulations for its high-temperature thermal energy storage systems, helping energy-intensive industries like steel and ceramics decarbonize. This support helps the green tech startup optimize its solution and scale faster.
Labellerr, a data labeling engine, uses Vertex AI and Cloud Run to automate annotation and smart QA to help ML teams process millions of images and thousands of hours of videos in just a few weeks.
Physical Intelligence recently partnered with Google Cloud to support model development, using our secure and scalable AI infrastructure.
tulanā, an intelligent decision support provider, has a highly customizable platform that uses forecasting, optimization, simulation, and AI to help enterprise clients make better decisions across supply chains and physical infrastructure. tulanā is using Cloud Run to horizontally scale its optimization workloads, Gemini for intelligent ETL processes, and Cloud SQL and Big Query to store customer data.

Albo, a Mexican neobank, uses Gemini models to power its "Albot" AI chatbot that provides 24/7 financial advice, customer onboarding, and support to millions of first-time banking users. The platform advances financial inclusion while streamlining regulatory compliance and improving operational efficiency.
Bud Financial, a data intelligence provider focused on banking clients, leverages DataStax Astra DB on Google Cloud with Gemini. The platform enables ultra-fast processing of complex financial data, helping clients reduce fraud by over 90% and shortening the time required to access critical data analytics from weeks to minutes.
Causal, a financial planning platform, uses Cloud SQL and Gemini models to power its data foundation and accelerate innovation. By offloading database management, the company built an AI-powered wizard that helps users connect data, analyze patterns, and generate financial models in just five minutes.
CERC, a financial infrastructure company, manages more than 500 million daily transactions using Databricks, BigQuery, and Gemini. This increased processing capacity by 10x without adding to the workforce, allowing the company to process millions in revenue forecasts in just two minutes and accelerate analytics for customers.
DataCurve, a frontier coding data analytics provider, addresses complex data challenges by combining Web3 and generative AI on Google Cloud. Its platform uses AI agents for deep data analysis and Web3 for data authenticity, delivering insights that help customers take action and improve engagement.
eToro, a global trading and investing platform, has pioneered a groundbreaking approach to marketing by using Veo to create advertising campaigns. This enables eToro to rapidly generate professional-quality, culturally specific video content across the global markets it serves, which would traditionally require extensive production timelines and significant budgets.
Fiscal.ai is reinventing financial data infrastructure. Its AI-native platform transforms unstructured public filings into clean, standardized data in minutes, replacing the slow, error-prone legacy of manual aggregation and delivering the mission-critical insights that today's top investors demand.
Rogo, a generative AI platform built for the financial industry, uses Google Cloud solutions like Dataflow, Spanner, and Vertex AI to automate complex research and analysis for the world's leading investment banks and private equity firms. Gemini 2.5 Flash enabled the platform to cut AI modeling time from months to hours and reduce hallucination rates from 34.1% to 3.9%.
Stax AI, a retirement administration platform, uses Google Cloud's generative AI and MongoDB to automate data extraction from complex financial documents. The solution processes thousands of brokerage statements in minutes, not hours, helping administrators respond to client inquiries and meet compliance deadlines in a fraction of the time.
Stream, offers financial tools to employers and employees and is using Gemini models to handle more than 80% of its internal customer inquiries, including questions about pay dates, balances, and more.
WealthAPI, a German fintech company, uses DataStax Astra DB on Google Cloud with Gemini to deliver real-time financial insights to millions of users. The platform's scalability allows it to analyze hundreds of thousands of transactions per second and has reduced response times by 90% for its customers.

Afooga, an AI-powered content experimentation factory, enables businesses to generate, test, and distribute content at massive scale from a single hypothesis, automatically optimizing across TikTok, Meta, YouTube, and more. Afooga leverages Vertex AI and Veo for generative video capabilities, and is architected entirely on Google Cloud.
Alson AI, a creative platform provider, uses Veo and Gemini to power its creativity platform that helps creators turn ideas into illustrated books and animations, reducing production time from months to minutes and costs from thousands of dollars to $25.
Cartwheel, a generative animation platform, helps users tell stories faster and more creatively. Its tool uses Gemini Flash for character creation prompts, Imagen for reference-image creation for 3D character development, and Veo 3 for video-to-animation input control that makes output editable by artists.
ComfyUI, an open-source engine for visual AI, helps creators prototype and automate media generation with pre-set models and more than 20,000 extensions. The platform integrates Gemini 2.5 and Veo 3 for multimodal creation and runs on Google Cloud infrastructure.
Connected-Stories, an AI creative platform, uses Gemini and Imagen on Vertex AI to help brands overcome manual content personalization challenges. The platform's AI creative assistant analyzes briefs and turns them into sophisticated strategies, enabling brands to create personalized content at scale and optimize campaigns in real-time.
fal, a generative media platform for developers, accelerates generative AI model inference to improve the speed with which content is generated. The fal team is working with Google Cloud to leverage its Veo 2 technology to help its users create videos with realistic motion and high-quality output.
HeyGen, an AI-powered video generation platform, makes creating, translating, and personalizing high-quality videos simple and accessible. HeyGen's core product leverages Gemini 2.5 Pro, Flash, and Flash-Lite to streamline content creation. With one prompt, HeyGen automates video planning, intelligently analyzes user-generated footage, and optimizes content through advanced visual and audio processing.
Higgsfield.ai, a generative AI video startup, uses its foundational model on Google Cloud and Vertex AI to enable video creation, helping smaller companies create realistic videos faster and more cost-effectively compared to traditional methods.
Krea.ai, a creative suite of AI tools, offers real-time image/video generation and personalized model training for artists and marketers. It integrates with Google Cloud, including models as Veo3 and Nano Banana, to provide access to advanced models, enabling users to create high-quality ads, product photos, and game assets.
Mosaic lets you build and run multimodal video-editing AI agents. A canvas of creative tools becomes your building blocks, enabling simultaneous edits and many versions on autopilot—powered by Gemini 2.5 Pro’s video understanding and Google Cloud (Storage + Cloud Run) for scalable pipelines.
Nim.video is an AI-first platform for instant short-form video generation from a single prompt. The multimodal platform uses top generative models, including Veo3 and Veo3 Fast, for text-to-video synthesis. It runs on Vertex AI, enabling scaled experiments and orchestration of services like speech recognition and TTS.
OpenArt empowers social media creators and SMBs to turn ideas into stunning videos in minutes - complete with motion, music, and a narrative arc in one click. Powered by Gemini image models and Google’s Veo3 video model, it makes creating viral posts and brand content fast and effortless.
Photoroom, provides generative AI photo-editing and design capabilities to consumers and businesses, uses Veo 2 and Imagen 3 to improve the quality of its offering and accelerate its development.
Prodia offers APIs to integrate generative AI into creative tools. Built on Google Cloud, Prodia relies on GPUs & DWS to serve the fastest text-to-image and instruct-to-edit models in the world, as verified by Artificial Analysis benchmarks. Prodia uses Veo 3 and Nano Banana to further power multimodal AI features.
Reclip, a "real" social media application, leverages Veo and Imagen to create short, engaging animated videos from real time audio clips, captured by their proprietary app. Consumers love sharing these precious, funny and real "Reclips" with their friends and family.
Scope3 is enhancing its ad-tech platform with AI-powered features, using Gemini 2.5 Flash to offer features like real-time content classification, ensuring content is aligned with brand preference.
Spot AI, a video AI agent builder, leverages Google Cloud PubSub to turn security cameras into intelligent agents to enhance safety, security, and operations without needing AI/ML teams.
Wondercraft, an AI-powered content studio that helps users create engaging audio ads, podcasts and more, is leveraging Gemini models for some of its core functionalities and will soon release a Veo2 integration.
Writer, an enterprise generative AI platform, builds and trains its 17-plus LLMs on Google Cloud using Google Kubernetes Engine and high-performance NVIDIA GPUs. This allows the company to scale efficiently and cost-effectively, delivering fast, low-latency answers for enterprise customers who demand accurate and on-brand AI-generated content.

AndesML, a retail media platform, helps large enterprises launch and monetize their own ad networks by showing the right ad to the right customer at the right time. Built on Vertex AI, BigQuery, and Gemini models, the AndesML platform has delivered a 30% performance lift in customer campaigns, accelerated production time by more than 30 days, and reduced operational costs.
Audiomob, an in-game audio ad platform, replaced its legacy business intelligence system with BigQuery and Looker to gain real-time insights from its global data. This move enabled the company to handle billions of monthly transactions, contributing to triple-digit yearly revenue growth and significant savings in engineering time.
Hedra, an end-to-end marketing creation platform, is designed to generate high-quality content at scale. Hedra Studio combines its proprietary multimodal models with other leading models like Veo and Imagen, enabling users to produce polished marketing content for any use case. Hedra’s Live Avatars use Gemini to deliver dynamic, real-time interactive video experiences.
Inworld, an AI platform for builders of consumer applications, uses Google Cloud and Gemini to cost-effectively handle tens of millions of concurrent users with response times measured in milliseconds, meeting strict requirements for quality, cost control, and security.
Koolio.ai helps creators produce high-quality podcasts and audio content. Koolio.ai integrates Gemini, Lyria, and Veo to power features such as AI-generated dialogue, accurate transcription, intelligent sound effects and music selection, and audio enhancement, streamlining the entire audio creation workflow from concept to final production.
MNTN uses Google Cloud to power its Connected TV ad platform, making TV campaigns as measurable as search or social. With AI-driven tools like MNTN Matched and Security Command Center, MNTN scales creative and targeting securely and at speed.
Napster, a metaverse company, is building a no-code 3D e-commerce platform on Google Cloud using Vertex AI and Gemini. This supported 20-85% infrastructure cost reductions and saved over 3,600 developer hours, making immersive 3D web experiences accessible and affordable for its customers.
Potrero Labs, a creator-focused platform, has launched Jams, an AI-first video social network empowering authentic self-expression. Its platform simplifies video creation, allowing users to record short videos and let Jams enhance them. Jams offers a simple UI with a variety of models under the hood, including Gemini 2.5 Pro for script creation, multi-modal Gemini for video analysis, and Veo 3 for backgrounds, b-rolls, and audio.
Producer.ai (formerly Riffusion), an AI music platform, trains generative music models and builds products that empower anyone to create the music they imagine. "The Producer" music collaboration agent helps users create original, studio-quality songs from text, audio, or visual prompts. Gemini on Vertex AI assists with prompt augmentation and data pipelines, while Vertex AI APIs offer access to advanced multimodal models for experimentation.
Rembrand is an AI-powered advertising platform that facilitates in-video product placements for content creators and advertisers on social media and connected TV. Powered by Google Cloud's AI Infrastructure, Rembrand enables brands to genuinely connect with audiences without disrupting the content.
Satisfi Labs will begin using Gemini models to power a new agentic platform for hundreds of customers in sports, entertainment, and tourism. The Agentic Platform delivers specialized agents for guest experiences, ticketing, on-site, safety, and merchandise tuned by industry experts to help live experience businesses sell more, service faster, and gain real-time insights from every guest conversation
Scorpion, a digital marketing company for SMBs, uses Veo to scale video ad production. By integrating this technology into its toolkit, Scorpion makes creating professional videos for websites and advertising faster and more accessible for all businesses.
StatusPro builds NFL virtual reality experiences for gaming and training and is now developing its newest game on Google Cloud, including a new Gemini-powered in-game coach.
Synthesia, an AI video enterprise platform, helps businesses create instructional videos for employee training, customer support, sales enablement, and product marketing. The company is using Veo 3 to contextually adapt visuals to the content delivered by its AI avatars and voices.
Tinuiti, a performance marketing agency, used Google's VertexAI to develop an AI-powered service that develops and optimizes ad copy to increase performance. The tool embodies a philosophy of maximizing growth by minimizing waste, and a recent experiment showed significant ROAS performance improvements compared to human-curated copy.
Toonsutra, an India-based webcomic platform, is using Google’s Gemini AI to go global. By making stories accessible in regional languages and adding Lyria 2 for music, Gemini for voices, and Veo 3 for animation, they’re creating next-gen immersive comics.
Velin.ai, a content creation platform for small businesses, offers an AI agent that explains the content and its underlying strategic implications while acting as a unified content workspace. Gemini 2.5 drafts everything from scripts to social campaigns, while Imagen 4 and Veo 3 generate aligned visuals and video clips, ensuring a consistent brand narrative across all content.
Visla is an AI-powered video creation platform that helps businesses and creators produce pro videos in minutes. Using Google’s Imagen 4, Gemini Flash Image 2.5, Veo 3, and Visla’s AI Video Agent with Avatars, it adapts visuals, narration, and automates polished content for learning, training, and marketing.

LitLab.ai, a reading platform, leverages Veo3 and Vertex AI to generate personalized, curriculum-aligned stories and provide real-time oral reading analysis. They create decodable content and employ voice recognition for instant teacher feedback on student fluency.
Savvy revolutionizes learning by automatically generating flashcards and quizzes from PDFs, notes, videos, and podcasts. As students answer, Savvy leverages Gemini to dynamically grade their answers, providing instant feedback and personalized learning.
Studyhall AI, an AI research platform, graduated from Google Cloud’s UK Growth Accelerator program and built a mobile application that uses Gemini models to help coach students on reading, writing, and exam prep.
Subject.com, an AI-powered platform for grades 6-12, blends cinematic storytelling with superintelligent AI so students and teachers never get stuck. VertexAI, CloudSQL & BigQuery power Subject’s teacher assistant tool Spark, instant feedback, "ExplainThis" text simplifier, 24/7 Homework Helper, and personalized learning tied to student interests.

Deeli AI, an AI-powered platform, helps companies discover and evaluate emerging technologies to make informed investment decisions. The company builds its product and data pipeline on various services such as GCE, Cloud Run, and Dataflow, and uses models from the Vertex AI Model Garden.
Nectar's AI-driven community agents with Gemini to handle customer conversations on social platforms, influencer marketing, and real-time product feedback at scale for leading brands & retailers. By transforming unstructured social data into actionable insights and powering customer conversations, Nectar helps brands deepen relationships and drive measurable growth.
Simbe, a multimodal, retail-focused computer vision company, built its AI-powered Store Intelligence platform on Google Cloud. By deploying autonomous robots and sensors, Simbe provides real-time insights into shelf inventory and price accuracy. This helps retailers reduce out-of-stock instances, improve pricing and promotion execution to the high 90% range, and achieve a 4x return on investment within 90 days.
Zapia AI, a retail technology company, uses AI agents to support millions of users with product discovery, local business searches, and purchase assistance, resulting in over 90% positive user feedback. Its multi-agent orchestration is powered by Gemini to improve agent reasoning, reduce latency, and lower operational costs.
Zazzle is a global platform for custom products and designs made on demand. Zazzle uses Gemini ADK and CCaaS to facilitate chat-based product discovery and enhance customer experience, making it easier to find the right designs across a wide range of products.

Aptori, an AI security company, detects vulnerabilities in AI-generated code, prioritizes risks, and automates code fixes in real-time. Aptori uses Gemini to analyze code for security weaknesses and generate context-aware fixes, integrating its AI Security Engineer directly into developer workflows.
Chainguard, a software supply chain security company, uses Google Cloud Run and Google Kubernetes Engine to provide developers with secure open-source building blocks. Its serverless architecture streamlines operations and product development, reducing infrastructure management costs and enabling them to scale effortlessly to meet increasing user demand.
Eon, a cloud data protection platform, uses Google Cloud Storage and BigQuery to transform backups into AI-ready data lakes. This allows its customers to eliminate fragmented data silos, reduce secondary storage costs by up to 98%, and improve data recovery times by up to 90%.
Galileo, an AI observability and evaluation platform for building trustworthy AI applications, addresses the critical challenge of mitigating LLM unpredictability and hallucinations. Using Gemini to build its "evaluation agents" and running on a scalable Google Cloud infrastructure with NVIDIA GPUs, Galileo provides a holistic "trust layer" for reliable AI. This has enabled customers to de-risk over 1,000 AI applications, while go-to-market support from the Google for Startups Cloud Program helps Galileo accelerate growth and unlock new opportunities.
Prediction Guard is using Google Cloud services like Confidential Computing and Vertex AI to support its platform for added gen AI safety.
Resistant AI, an AI-powered security company, uses Google Cloud to build solutions that combat fraud in financial services documentation and workflows. Running on Google Cloud infrastructure, the company's specialized document fraud detectors scrutinize financial documents in 500 different ways, helping to protect automated workflows like those using Google's Document AI from sophisticated financial crime.
Specular, an offensive cybersecurity platform, builds AI agents using Gemini 2.5 Pro to automate attack surface management and penetration testing. Their platform automates traditional workflows to identify, assess, and remediate cybersecurity, helping enterprises proactively prioritize and respond to threats.
Wyze Labs is rolling out new AI-powered anomaly detection features for its security camera systems, powered by Google’s vision AI tool.
Zefr, a global leader in responsible AI, powers Fortune 500 brand advertising with safety and suitability on platforms like YouTube and TikTok. Using patented Cognitive AI with Gemini Flash and Vertex AI, Zefr analyzes video, image, audio, and text to deliver trusted, scalable solutions.

aSim, an AI-powered mobile app development tool, allows you to quickly generate, share, and discover mini-apps. Users can instantly generate an app from a prompt, leveraging APIs/LLMs like Google Maps and Gemini, as well as image and video generation from Nano Banana and Veo 3.
Bud Financial, a data intelligence provider focused on banking clients, leverages DataStax Astra DB on Google Cloud with Gemini. The platform enables ultra-fast processing of complex financial data, helping clients reduce fraud by over 90% and shortening the time required to access critical data analytics from weeks to minutes.
Bynry's SMART360 leverages Google Cloud’s robust infrastructure to empower small and mid-sized utilities to enhance operational efficiency and customer satisfaction.
Citylitics, a predictive intelligence platform, transforms public infrastructure investment for municipalities, utilities, and engineering firms. By automating data processing with Dataflow and Cloud Run, it cuts analysis time by 71% and boosts data sources by 400%, helping customers proactively identify and win new business.
ContextQA, an Agentic AI software testing platform, enables accurate, user-centric test automation from development start. The platform uses Gemini models to compare application behavior with expected outcomes, adapting automatically to changes.
Flockx, an AI-powered event app, migrated to Google Cloud to support its growth and control costs. Using Google Kubernetes Engine and autoscaling on Compute Engine, the company accelerated product development and successfully demonstrated scalability by processing over 100,000 AI runs in a single weekend.
Macro, an AI productivity platform, uses Gemini to modernize knowledge work by offering a unified workspace with features like multi-document chat and editable mind maps. The platform simplifies complex workflows and scales with demand for over 125,000 users in legal, finance, and education, while offering enterprise-grade security, data privacy, and compliance.
MaestroQA, a conversation analytics data platform, is leveraging Gemini to enhance its AI-powered conversation analytics. By using Gemini, MaestroQA is improving its ability to analyze customer interactions across every channel, providing deeper insights that help businesses boost customer satisfaction and drive growth and retention.
MLtwist, an AI data pipeline services company, processes, transcribes, translates, and labels large, complex data streams for enterprise applications. It uses Gemini and AI Studio for transcription and labeling tasks, saving approximately 63% of the time required to process even highly illegible documents.
Moii.AI, a vision AI startup, uses Gemini and BigQuery to analyze CCTV footage for safety and productivity insights. This approach reduced video review time from days to minutes, saved the company $10,000 monthly on AI processing costs, and doubled its engineering team’s efficiency.
Owl.AI, a sports technology company, delivers AI-powered solutions to professional sports leagues. Their offerings, which include judging and scoring, aim to enhance accuracy, consistency, and eliminate bias. Owl.AI achieves this by leveraging AI models built on Gemini and fine-tuned on Google Cloud to analyze real-time video footage of athletic performances.
Provenbase has built its talent recruitment tool for businesses on Google Cloud and is now powering its transformative Deep Search for talent feature using Google Cloud AI.
SandboxAQ is expanding its usage of Google Cloud and running a new AI drug discovery simulation platform on Google Cloud.
Satlyt, a space compute leader, enables in-orbit AI workloads by orchestrating intersatellite communication and routing. It uses Google Cloud's Kubernetes Engine, Vertex AI, and scalable data infrastructure to deploy AI agents and plans to deploy Google's Gemma models in orbit.
SE3 Labs, a 3D computer vision and AI company, uses Cloud Run to deploy advanced AI model technologies that create "Spatial GPTs," which are essentially AI models that can understand and interact with the world in 3D.
Temporal, a durable execution platform for developers, uses Vertex AI to enhance its customer support operations. The solution provides improved visibility into support trends by automatically categorizing 80% of support tickets, allowing the team to anticipate customer needs and identify new opportunities.

How Google Cloud’s AI tech stack powers today’s startups

Thu, 18 Sep 2025 13:00:00 +0000

AI has accelerated startup innovation more than any technology since perhaps the internet itself, and we’ve been fortunate to have a front row seat to much of this innovation here at Google Cloud. Nine of the top ten AI labs use Google Cloud, as does nearly every AI unicorn and more than 60% of the world’s gen AI startups overall.

And the trend of AI startups choosing us is accelerating. For example, we’ve seen more than a 20% increase over the past year in the number of newer AI Startups (those who recently raised a Series A or B round) choosing to use Google Cloud.

These startups are building with our differentiated AI stack, which offers leading technology and choice at every layer, including a variety of TPU and GPU specialized chips for compute, and a broad range of models that excel at coding, image and video generation, collaboration, and more.

Today, we’re hosting our first-ever Google's AI Builders Forum, bringing hundreds of startup founders, and builders together in the heart of Silicon Valley to hear about how Google’s AI, infrastructure, and services, as well as our unique resources to support startups’ growth, can help them build.

To further that support, and help startups jumpstart work in the exciting realm of AI agents, we’ve just published our Startup technical guide: AI agents. It’s an in-depth collection of best practices and step-by-step guidance for building and scaling agentic AI, so you can get from idea to production faster. It also covers core agentic concepts like RAG and multimodality, and how to leverage Google Cloud’s agentic offerings, like ADK and A2A.

We’re also excited to announce momentum with dozens of startup customers who are building platforms, products, and entire businesses on Google Cloud, including:

Afooga, an AI-powered content experimentation factory, enables businesses to generate, test, and distribute content at massive scale from a single hypothesis, automatically optimizing across TikTok, Meta, YouTube, and more. Afooga now leverages Vertex AI and Veo for generative video capabilities.
Anara, a generative AI research assistant, helps users find and understand scientific documents with verifiable AI summaries and insights. It now uses Google Cloud's scalable infrastructure, AI Studio, and Cloud Functions to power its models and data processing for a global user base.
Aptori, an AI security company, detects vulnerabilities in AI-generated code, prioritizes risks, and automates code fixes in real-time. Now, Aptori uses Gemini to analyze code for security weaknesses and generate context-aware fixes, integrating its AI Security Engineer directly into developer workflows.
aSim, an AI-powered mobile app development tool, allows people to quickly generate, share, and discover mini-apps. Users can now instantly generate an app from a prompt using Gemini models and multimodal capabilities from models like Gemini 2.5 Flash Image (i.e. Nano Banana) and Veo 3.
CerebraAI develops AI software for analyzing non-contrast CT scans (NCCT), with a focus on early stroke and cancer detection. It fine-tunes MedGemma on NCCT images and leverages Gemini's few-shot generalization capabilities to rapidly adapt its model for various diagnostic tasks.
Clavata.ai delivers an integrated AI governance and safety platform with multi-modal, real-time evaluations powered by Gemini models. Its suite of tools enable proactive policy enforcement, dynamic debugging, iteration, observability, and problem prevention.
Clip Media built Reclip, a social media application that leverages Google's generative media models like Veo and Imagen to create short, engaging animated videos from real-time audio clips, captured by their proprietary app.
CoVet is an AI assistant built for veterinary professionals, that uses Gemini, Cloud Functions, and other Google Cloud solutions to help veterinary teams automate administrative work, save hours every day, and refocus on what matters most: exceptional patient care.
ColomboAI has built its next-generation social engagement super-app on Google Cloud, integrating search, social, commerce, and news into one experience. The company is now launching CAIRO, its in-app AI Operator agent that can automate actions across modules — from GenAI to feeds, shop, and beyond — powered by Google Cloud AI infrastructure.
Corma is using Google Cloud’s AI infrastructure to train novel, domain-specific foundation models.
Factory, a platform for agent-driven software development, accelerates engineering by unifying context from sources like GitHub and Jira to delegate tasks such as feature development and migrations. It uses Gemini 2.5 Flash for data ingestion and Gemini 2.5 Pro for advanced code and document generation.
Gobii provides AI Agents that automate complex web tasks like forms and workflows directly in the browser. To power these intelligent agents, Gobii is building on Vertex AI and scalable GKE infrastructure.
InstaLILY is using Gemini 2.5 and Vertex AI to power AI agents, called InstaWorkers, that can support sales, service, and operations.
Inworld AI, an AI platform for builders of consumer applications, uses Google Cloud and Gemini to cost-effectively handle tens of millions of concurrent users with response times measured in milliseconds, meeting strict requirements for quality, cost control, and security.
Krea.ai, a creative suite of AI tools, offers real-time image and video generation and personalized model training for artists and marketers. It integrates with Google Cloud to provide access to advanced models like Veo3 and Gemini 2.5 Flash Image (Nano Banana), enabling users to create high-quality ads, product photos, and game assets.
Lovable, which is building an AI software engineer, uses Vertex AI to deploy and unify its core language models, including Gemini and Anthropic's models. This unique orchestration enables users to create complete, full-stack web applications from plain English descriptions while choosing the model on Google Cloud that best suits their needs.
MaestroQA, a conversation analytics data platform, is now using Gemini to enhance its AI-powered conversation analytics. Gemini helps MaestroQA improve its ability to analyze customer interactions across every channel, providing deeper insights that help businesses boost customer satisfaction and drive growth and retention.
Markups.ai created Agent Marko, an AI contract negotiation agent, which helps turn days-long human legal review into an easier automated process. Users simply email contracts to a designated inbox and receive customized revisions and analysis back within minutes. Gemini 2.5 Pro has enabled Markups.ai to go from handling only first revisions of NDAs to effectively any revision of any contract.
MLtwist, an AI data pipeline services company, processes, transcribes, translates, and labels large, complex data streams for enterprise applications. It now uses Gemini models and AI Studio for transcription and labeling tasks.
MNTN uses Google Cloud to power its connected-TV ad platform which helps users better measure the impact of their TV campaigns. MNTN uses Google’s Security Command Center to ensure users have a secure experience on its platform.
Mosaic lets users build and run multimodal video-editing AI agents. It uses Gemini 2.5 Pro, Cloud Storage, and Cloud Run to power its platform.
OpenArt, an AI video production company, empowers social media creators and SMBs to turn ideas into videos complete with motion, music, and a narrative arc with Gemini models and Veo3.
OpenEvidence is building its AI-powered medical search platform on Google Cloud, enabling healthcare professionals to access medical information more quickly, safely, and accurately.
Owl.AI, Owl.AI, a sports technology company, delivers AI-powered solutions to professional sports leagues. Their offerings, which include judging and scoring, aim to enhance accuracy, consistency, and eliminate bias. Owl.AI achieves this by leveraging AI models built on Gemini and fine-tuned on Google Cloud to analyze real-time video footage of athletic performances.
Parallel uses Gemini models via Vertex AI to orchestrate “micro agents” that can manage AI search requests more effectively.
Prodia, a generative AI API, offers developers APIs to integrate generative AI into their creative tools. Prodia relies on GPUs on Google Cloud to serve text-to-image and instruct-to-edit models, our low-latency network to ensure scalable, cost-effective performance, Dynamic Workload Scheduler for burst capacity, and models like Veo 3 and Gemini 2.5 Flash Image to power advanced video and image generation.
Provenbase has built its talent recruitment tool for businesses on Google Cloud and is now powering its transformative deep search for talent feature using Google Cloud AI.
Qualia Clear is an agentic system that improves real estate closings by automating manual title and escrow workflows. It uses tool calling, Gemini 2.5 Flash and Gemini 2.5 Pro, and Google Agent Development Kit to process emails and documents and simplify reporting, improving efficiency and customer service.
Rembrand is an AI-powered advertising platform that facilitates in-video product placements for content creators and advertisers on social media and connected TV. Powered by Google Cloud's AI infrastructure, Rembrand enables brands to genuinely connect with audiences without disrupting the content.
Resolve AI, an always-on AI SRE, autonomously investigates incidents and helps run production systems using code, infrastructure, and observability data. With the intelligence and performance of Gemini on Vertex AI, Resolve AI improves MTTR, reliability, and engineering velocity for its customers.
SandboxAQ is scaling its AI-accelerated drug discovery and materials design platform on Google Cloud by training Large Quantitative Models (LQMs) on high-accuracy, physics-based simulations run across massively parallel compute nodes on Google Cloud. SandboxAQ recently made two large-scale datasets, called SAIR and AQCat25, publicly available for building and benchmarking LQMs for structure-aware drug potency prediction and for catalyst design, respectively.
Satlyt, a space compute company, enables in-orbit AI workloads by orchestrating intersatellite communication and routing. It uses Google Kubernetes Engine, Vertex AI, and scalable data infrastructure to deploy AI agents and plans to deploy Google's Gemma models in orbit.
Satisfi Labs will begin using Gemini models to power a new agentic platform for hundreds of customers in sports, entertainment, and tourism. The Satisfi AI platform will offer specialized agents supporting guest experiences, ticketing, on-site safety, and merchandise. Tuned by industry experts, Satisfi AI helps live experience businesses sell more, service faster, and gain real-time insights.
Savvy, an education-focused AI startup, revolutionizes learning by automatically generating flashcards and quizzes from PDFs, notes, videos, and podcasts. As students answer, Savvy uses Gemini to dynamically grade their answers, providing instant feedback and personalized learning.
Skyvern helps companies automate browser-based workflows with AI. Skyvern uses models like Gemini 2.5 Pro and computer vision to interact with websites, enabling it to automate tasks like filling out forms, procuring materials, and downloading invoices.
Subject.com, an AI-powered platform for grades 6 to 12, blends cinematic storytelling with advanced AI to make learning more engaging. Vertex AI, CloudSQL, and BigQuery power Subject’s teacher assistant tool, Spark, that provides instant feedback, an ‘Explain This’ text simplifier, a 24/7 Homework Helper, and personalized learning tied to student interests.
Tali.ai is a medical AI scribe designed to reduce the administrative burden on clinicians. Integrated with multiple electronic medical record systems across the U.S. and Canada, the company uses Vertex AI and Gemini models to automate clinical note-taking during patient visits and extract key insights.
Tinuiti, a performance marketing agency, used Vertex AI to develop an AI-powered service that develops and optimizes ad copy to increase performance.
Toonsutra, an India-based webcomic platform, is using Google Gemini to go global. By making stories accessible in regional languages and adding Lyria 2 for music, Gemini for voices, and Veo 3 for animation, the company is creating next-generation immersive comics for more audiences.
turbopuffer offers serverless vector and full-text search, helping AI businesses overcome the high costs and complexity of traditional database architectures. Its solution, built on Google Cloud infrastructure, has reduced AI database cost by up to 90% for customers, manages more 1 trillion documents, and handles more than 10 million writes and 10,000 queries every second.
Upwork, a human and AI-powered work marketplace, connects businesses with independent professionals. By leveraging the Vertex AI Text-to-Speech API, Upwork now delivers faster, more accurate talent matching and improved hiring efficiency for clients and freelancers.
Visla is an AI-powered video creation platform that helps businesses and creators produce pro videos in minutes. Using Imagen 4, Gemini Flash Image 2.5, Veo 3, and Visla’s AI Video Agent with Avatars, it adapts visuals and narration while automating polished content creation for learning, training, and marketing.
Windsurf, a leader in AI-assisted coding, is using Gemini 2.5 Pro to power its coding assistance IDE, as well as using Gemini models to support integrations with Cognition’s Devin AI.
Zapia AI, a retail technology company, uses AI agents to support millions of users with product discovery, local business searches, and purchase assistance, resulting in over 90% positive user feedback. Its multi-agent orchestration is powered by Gemini to improve agent reasoning, reduce latency, and lower operational costs.
Zefr, a global leader in responsible AI, powers Fortune 500 brand advertising with safety and suitability on platforms like YouTube and TikTok. Using patented “cognitive AI” with Gemini Flash and Vertex AI, Zefr analyzes video, image, audio, and text to deliver trusted, scalable solutions.

Google Cloud’s differentiated AI stack for startups

Around the world, startups are using Google Cloud at every step of development and every stage of growth. They’re using our AI and infrastructure to train and serve models, to handle multimodal requests, to build and scale applications, to develop AI agents, to manage underlying data, to support developers, to reach customers through our marketplace, and more.

Whatever the use case, our full AI-optimized tech stack provides startups with leading technology and choice at every layer, including:

Highly-performant first-party chips (TPUs) and third-party chips (GPUs) for training and inferencing, as well as the ability to move workloads between the two.
AI Studio, a fast way for startups to get started building applications with our models.
Our unified AI development platform, Vertex AI.
More than 200 AI foundation models, including our leading multimodal models like Nano Banana and Veo 3, and popular third-party models like Anthropic’s Claude and the open-source Llama and Mystral.
Developer tools like Gemini CLI, which provides access to Gemini directly within the coding terminal, streamlining workflows and boosting productivity.
Products like BigQuery and AlloyDB to handle an organization’s underlying data.
Security operations and threat intelligence tools to help startups secure their applications.
Services like Google Kubernetes Engine, Cloud Storage, and CloudSQL to quickly scale workloads and applications up and down.

If you can dream it, then you can build it, launch it, scale it, and sell it with Google Cloud.

More programs, initiatives, and product access for startups

One of the biggest challenges to starting up isn’t having the idea or the right technology — it’s access to the resources to make it happen and expertise to help tackle any challenges that arise.

Google Cloud provides a unique set of resources and benefits for startups through our Google for Startups Cloud Program, including cloud credits that are applicable across all Google Cloud products and AI models — including those from our partners like Anthropic and Meta. The program also offers mentorship and go-to-market programs that help startups reach customers, and even on-the-ground engineers who engage with and support startups as they build.

We also engage deeply with the startup community through our global series of Accelerators and our partnerships with top venture capital firms, incubators, and community organizations — making it easier than ever for startups to access Google Cloud’s unique technology and our extensive set of resources to help startups build and market their products.

For example, AI startups who work with firms like Lightspeed, Sequoia, or Y Combinator all have preferred access to our Google for Startups Cloud Program — supercharging their work with up to $350,000 in cloud credits along with mentorship and engineering support.

We’re committed to making it as easy as possible for startups to get building with Google Cloud AI. If you’re interested in our technology and want to get started, head to Google AI Studio or our Google for Startups Cloud Program and let’s get building together!

Introducing the Class of 2025 Google for Startups Accelerator: AI First MENA and Turkey

Tue, 16 Sep 2025 07:00:00 +0000

Today, we are thrilled to announce the 14 innovative startups selected to join the Google for Startups Accelerator: AI First in the Middle East, North Africa and Turkey.

These companies are leveraging AI to tackle significant challenges and create new opportunities across various industries. From real estate and finance to enhancing healthcare and industrial safety, this cohort represents the forefront of technological advancement in the region.

The Accelerator is designed to support these startups in their journey to scale, providing comprehensive mentorship, technical training, and resources focused on product development, business strategy, and responsible tech.

Please join us in welcoming the startups participating in the Google for Startups Accelerator: AI First program:

Abwab.ai: An AI-powered credit assessment platform that empowers financial institutions to make faster, fairer, and more accurate lending decisions for SMEs.

COGNNA: An agentic SecOps platform that leverages AI agents to autonomously investigate, analyze, and respond to security threats at machine speed.

Distichain: A TradeTech platform automating import and export, connecting all participants of a trade to an ecosystem of verification, payments, and supply-chain service providers.

Eluvium: Builds AI agents to automate sales operations & procurement for manufacturers.

FoxPrep: Brings Duolingo-style exam prep to local high-stakes exams where students currently have no quality study options.

Heemera: A global provider of crypto investigative, blockchain analytics, and assets recovery services.

iWarranty: A unified platform to transform warranty management.

Malakah: A digital platform based on AI that provides legal services in an easy and reliable manner, without any human intervention.

Monit: A pioneering provider of modular digital solutions for industrial safety, efficiency, and asset management in emerging markets.

Navatech: An AI-first, cloud-native platform empowering frontline workers starting with health and safety in construction and other high-risk industries.

Re-skill: An AI-native learning infrastructure that transforms ideas and internal documents into engaging videos, quizzes, and learning paths.

Sponix Tech: An award-winning sports technology startup that has developed unique solutions for leagues, clubs, and broadcasters.

VenueX: An AI-powered omnichannel performance platform that connects in-store data with digital marketing channels to optimize offline ROAS, boost store visits, and improve local visibility.

xBites: The MENA region’s first AI-powered real estate sales assistant, built to qualify and convert leads instantly over WhatsApp.

Please join us in welcoming this cohort to the Google for Startups Accelerator: AI First program. Visit the program page to learn more and sign up for future cohorts from the MENA and Turkey region.

Google for Startups Accelerator: AI First – Meet the 2025 Brazilian cohort

Wed, 27 Aug 2025 16:00:00 +0000

In a landscape where AI is an engine of growth for the Latin American economy, Brazil stands out as a leader in innovation. Google is committed to supporting and shaping the future of AI startups, and our new accelerator cohort is proof of that.

Following a highly competitive selection process, we are proud to announce 11 startups that will participate in the AI First program. This group of entrepreneurs represents the vanguard of digital transformation in the country, with innovative solutions that apply AI to solve challenges in diverse industries, from the financial and health sectors to marketing and agriculture.

What’s next: During the program, which kicks off on September 2nd, the startups will receive personalized technical and strategic support, with access to Google’s top AI experts.

Meet the new cohort of the Google for Startups Accelerator: AI First

BrandLovers: This creator marketing platform uses AI to orchestrate campaigns, connecting brands with a network of over 300,000 influencers. Its smart technology optimizes the connection, ensuring that brands reach the right audience and achieve effective results in their marketing strategies.

Core AI: Core AI transforms industrial ecosystems into scalable credit platforms. By enabling SaaS companies to offer automated, AI-driven credit products, the startup is revolutionizing how credit is made available in the market.

Courageous Land: An agribusiness startup that uses the Agroforestry Intelligence platform to regenerate degraded landscapes through agroforestry. The technology optimizes carbon removal and organic production, contributing to sustainability and the fight against climate change.

Inspira: Inspira is an AI-powered legal platform created by lawyers, for lawyers. It provides reliable technology to keep law firms ahead, automating tasks and offering insights for strategic decision-making.

Jota: An AI platform that automates the finances and operations of entrepreneurs, boosting profitability. With a recent $60 million funding round, Jota is one of the highlights of this cohort, showcasing the potential of Brazilian AI startups.

Oncodata: This healthtech company develops AI-powered digital pathology solutions to accelerate cancer diagnosis and expand access to health services across Latin America, bringing hope and efficiency to the sector.

Paggo: A fintech company that is transforming how construction companies in Brazil manage their finances, automating payables, receivables, and treasury. Paggo’s solution increases financial efficiency and transparency in a traditionally complex sector.

Rivio: Rivio automates hospital billing with AI, reducing denials and delays through ERP integration and intelligent claim analysis. The startup is essential for optimizing the financial and operational processes of hospitals.

Tivita: Tivita helps healthcare providers thrive by putting their back-office management on autopilot. The platform optimizes administrative routines, allowing healthcare professionals to focus on what truly matters: patient care.

Vöiston: A healthtech company that uses AI to analyze and understand unstructured clinical data, addressing complex challenges in the healthcare sector. Vöiston is at the forefront of medical innovation, helping to uncover valuable insights.

Yuna: Yuna develops an AI-driven platform for personalized, interactive, and free children's stories. The startup is reinventing how children engage with reading, promoting learning and creativity.

Get started

To learn more about the Google for Startups program, visit our homepage.

Introducing Google Cloud Setup: Your guided pathway to a secure cloud foundation

Fri, 01 Aug 2025 16:00:00 +0000

Are you ready to unlock the power of Google Cloud and want guidance on how to set up your environment effectively? Whether you're a cloud novice or part of an experienced team looking to migrate critical workloads, getting your foundational infrastructure right is the key to success. That's where Google Cloud Setup comes in — your guided pathway to a secure cloud foundation and quick start on Google Cloud.

Google Cloud Setup helps you quickly implement Google Cloud's recommended best practices. Our goal is to provide a fast and easy path to deploying your workloads without unnecessary configuration effort. Think of it as your expert guide, walking you through the essential first steps so you can focus on what truly matters: rapidly deploying your innovative applications and services. To help you get started without financial barriers, all components and service integrations enabled during the setup process are free or include some level of no-cost access.

aside_block: <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x7f10b39686a0>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]>

Choose the foundation that fits your needs

We understand that every organization and project has unique requirements. That's why Cloud Setup offers three distinct guided flows to choose from:

Proof-of-concept: Designed for users who want to set up a lightweight environment to explore Google Cloud and run initial tests or sandbox workloads. This flow focuses on the minimum configuration to get you started quickly.
Production: This flow is recommended for supporting production-ready workloads with security and scalability in mind. It aligns with Google Cloud’s best practices and is tailored for administrators setting up basic foundational infrastructure for production workloads.
Enhanced security: Designed for organizations, regions or workloads with advanced security and compliance requirements, this flow defaults to more advanced security controls and is designed to help you meet rigorous requirements. Even this advanced foundation sets you up with a perpetual free tier up to certain usage limits.

Building blocks for a solid foundation

Cloud Setup guides you through a series of onboarding steps, presenting defaults backed by Google Cloud best practices. Throughout the process, you'll also encounter key features designed to help protect your organization and prepare it for growth, including:

Cloud KMS AutoKey: Automates the provisioning and assignment of customer-managed encryption keys (CMEK).
Security Command Center: Provides security posture management for Google Cloud deployments including automatic project scanning for security issues such as open ports and misconfigured access controls.
Centralized Logging and Monitoring: Enables you to easily set up infrastructure to monitor your system's health and performance from a central location — critical for audit logging compliance and visualizing metrics across projects.
Shared VPC Networks: Allows you to establish a centralized network across multiple projects, enabling secure and efficient communication between your Google Cloud resources.
Hybrid Connectivity: Facilitates connecting your Google Cloud environment to your on-premises infrastructure or other cloud providers. This is often a critical step for workload migrations.
Support plan: Enables you to quickly resolve any issues with help from experts at Google Cloud.

At the end of the guided flow, you can deploy your configuration directly via the Google Cloud console or download a Terraform configuration file for later deployment using other Infrastructure as Code (IaC) methods.

Experience the cloud faster and smarter

Organizations using Cloud Setup experience enjoy:

Faster application deployment: By simplifying the initial setup, you can get your applications up and running more quickly, accelerating your cloud journey.
Reduced setup effort: Our streamlined flow significantly reduces the number of manual steps, allowing you to establish a basic foundation with less effort.
Greater access to Google Cloud's full potential: By establishing a solid foundation quickly, you can more easily explore and leverage a wider range of Google Cloud services to meet your evolving needs and unlock greater value.

Ready to start your Google Cloud journey? Visit Google Cloud Setup today for a streamlined path to a secure cloud foundation. Let us guide you through the initial steps so you can focus on innovation and growth.

To learn more, visit:

Cloud Setup documentation
Cloud Setup overview (requires login)

Graduating the inaugural Google for Startups Accelerator: AI First cohort in the UK

Mon, 21 Jul 2025 16:00:00 +0000

The Google for Startups Accelerator: AI First UK has celebrated the graduation of its latest cohort of AI startups. The 12-week hybrid program, designed for rapid growth, began in London in April and concluded with a Demo Day and Graduation in July. Founders received mentorship from Google experts, technical support for AI technologies, and extensive networking opportunities with investors, partners, and other entrepreneurs.

“The Program Kick-Off Week really made me re-consider some aspects that we now take for granted. I also have a TON of inspiration for future LLM/agent/multi-agent concepts that we will experiment with.” - Paul Symmers, CTO at Building Atlas.

Through the hands-on support provided during the program, DataWhisper, an agentic payment platform, was able to fully integrate Google Cloud and AI technologies, including Gemini, Vertex, and Model Garden, making Gemini the default model for their platform.

“The Program helped incredibly by opening doors to contacts with major partners, leading to increased company valuation and closing a commercial deal during the program. Google is at the heart of my strategy for 2025-2026." - Luis Lancos, CEO at Datawhisper.

At the Demo Day event, held on July 11th, in partnership with HSBC Innovation Banking and London & Partners, the cohort celebrated its achievements. The event connected 15 high-potential UK startups with over 100 of the UK’s tech experts, VCs, and corporates. These startups showcased innovative AI solutions, from cancer detection to smarter supply chains, seeking partnerships and contributing to responsible AI innovation. Keynotes were delivered by Jeanine Banks, VP of Google Developer X, Laura Citron, CEO of London & Partners and Ryan Clements, VP Early Stage Banking at HSBC Innovation.

aside_block: <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x7f10b2db3340>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]>

Learn more about the graduating startups and their inspiring work:

Bindbridge (London) is a generative AI platform that discovers and designs molecular glues for targeted protein degradation in plants.
Building Atlas (Edinburgh) uses data and AI to support the decarbonisation of non-domestic buildings by modelling the best retrofit plans for any portfolio size.
Comply Stream (London) helps to streamline financial crime compliance operations for businesses and consumers.
Datawhisper (London) provides safe and compliant AI Agentic solutions tailored for the fintech and payments industry.
Deducta (London) is a data intelligence platform that supports global procurement teams with supply chain insights and efficiencies.
Dysplasia Diagnostics (London) develops AI-based, non-invasive, and affordable solutions for early cancer detection and treatment monitoring.
Flow.bio (London) is an end-to-end cloud platform for running large sequencing pipelines and auto-structuring bio-data for machine learning workflows.
Humble (London) enables non-technical users to build and share AI-powered apps and workflows, allowing them to automate without writing code.
Immersive Fox (London) uses AI to transform existing content into fully interactive video courses in minutes, adapting in real time to every learner, to deliver personalized learning experiences at scale.
Kestrix (London) uses thermal drones and advanced software to map and quantify heat loss from buildings and generate retrofit plans.
Loc.AI (Cardiff) provides the foundational operating system for truly resilient, distributed intelligence that runs without a single point of failure.
Measmerize (Birmingham) provides sizing advice for fashion e-commerce retailers, enabling brands to increase sales and decrease return rates.
PSi (London) uses AI to host large-scale online deliberations, enabling local governments to harness collective intelligence for effective policymaking.
Shareback (London) is an AI platform that allows employees to securely interact with GPT-based assistants trained on company, department, or project-specific data.
Source.dev (London) simplifies the software development lifecycle for smart devices, to help accelerate innovation and streamline software updates.

Learn more about Google for Startups Accelerator programs on startup.google.com. You can also register your interest for future programs if you are a Seed to Series A stage tech startup, building innovative and highly technical AI-first solutions.

Tzafon selects Google Cloud to build next-generation agentic machine intelligence

Thu, 17 Jul 2025 13:00:00 +0000

Tzafon, a San Francisco-based startup and AI R&D lab, is partnering with Google Cloud to utilize Google’s AI-optimized infrastructure and cloud services to help Tzafon deliver automation at large scale.

The Tzafon team aims to do this by building systems and models that can support multiple, autonomous AI agents that are capable of working together and interacting with common interfaces like applications, operating systems, and web browsers.

Now, Tzafon will partner with Google Cloud to access the compute resources and cloud services it needs to train its new multi-agent models – and to develop new automation frameworks that will allow Tzafon’s agents to collaborate more quickly and seamlessly.

Through its partnership with Google Cloud, Tzafon will:

Use NVIDIA GPUs through Google Cloud to train new machine intelligence models capable of managing multiple AI agents.
Develop individual agents capable of interacting with operating systems, web browsers, and applications on a person’s behalf.
Scale workloads up or down quickly using Google Kubernetes Engine.
Use BigQuery to effectively manage the large volumes of data underpinning its systems.

Today, more than 60% of the world’s generative AI startups are using Google Cloud. Now, Tzafon joins them in gaining access to Google Cloud’s complete AI stack, with reliable compute capacity, strong price performance, robust data infrastructure, and elasticity to scale quickly, among many other features that are essential in the emerging field of AI.

You can read more about Tzafon’s mission in its white paper and learn more about how thousands of AI startups are building with Google Cloud here.

Automate data resilience at scale with Eon and Google Cloud Backup

Wed, 18 Jun 2025 16:00:00 +0000

Cloud backups were once considered as little more than an insurance policy. Now, your backups should do more! They should be autonomous, cost-efficient, and analytics-ready by default.

That’s why Eon built a platform purposefully aligned with Google Cloud to eliminate backup blind spots, simplify recovery, and unlock the value inside backup data without requiring teams to become policy experts or infrastructure wranglers.

Still, no matter what platform you use, it’s critical to understand what resilient cloud backup looks like and how to get there with Google Cloud’s native capabilities.

What makes cloud backup resilient?

Before diving into tooling, it's worth asking: What does a resilient backup strategy look like in the cloud? In our work with Google Cloud users across industries, we’ve found five common criteria:

5 signs your backup posture may be at risk

You can’t easily see what’s backed up (or not)
Retention policies vary across projects and teams
Data is duplicated or stored inefficiently, driving up spend
Cloud ransomware protection is reactive rather than policy-driven
Recovery requires full restores even when you only need one object

aside_block: <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x7f10b50f5ac0>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]>

Best practices for data protection

Google Cloud provides foundational capabilities to protect your data if you configure and use them consistently. Here's how to maximize native protection:

1. Versioning and retention: first lines of defense

Enable Object Versioning in Cloud Storage to retain multiple object versions, making it easier to recover from accidental deletions. Pair this with Retention Policies to enforce minimum storage lifetimes for regulatory or critical datasets.

Tip: Use Bucket Lock for write-once-read-many (WORM) protection in the areas where compliance matters most.

2. Monitor for gaps in coverage

Use native services like Cloud SQL backups, GKE snapshots, and Persistent Disk images, but be mindful that backup responsibilities can fall to different teams. Without centralized visibility, coverage becomes inconsistent.

Tip: Use Cloud Asset Inventory or scheduled BigQuery queries to audit coverage.

3. Design for granular recovery

Plan for partial restores since not everything needs a full rollback. Whether it's a single BigQuery table or a specific Cloud Storage object, restoring only what you need saves time and cost.

Tip: Use Object Lifecycle Management to automatically transition older or less critical Cloud Storage objects to colder storage classes.

Watch out New Way to Cloud interview with Eon CTO and co-founder Ron Kimchi.

Automating the complexity away

Managing cloud backup at scale is hard to do manually. From onboarding new workloads to applying consistent policies, human-led approaches don’t scale well.

That’s why more teams are exploring autonomous Cloud Backup Posture Management (CBPM) solutions, like Eon, that detect new assets in real time, apply smart backup rules automatically, and enforce consistent protection across environments.

With Eon, you don’t have to tag resources or write custom scripts. Our platform classifies and protects your Google Cloud assets out of the box—whether you're working with GKE, Cloud SQL, BigQuery, or another solution.

From backups to business insights

Traditionally, backup data was siloed, underused, and only meant to be retrieved in emergencies. But, increasingly, teams are unlocking that data to:

Run analysis directly on backups using BigQuery and Dataproc,
Feed training and monitoring pipelines via Vertex AI,
Deliver audit-ready dashboards with Looker, powered by backup snapshots.

With Eon, this is built-in. We transform backups into zero-ETL data lakes that reduce pipeline costs and provide immediate access to structured data with no reprocessing required.

What a “mature” backup posture looks like

The end goal for many cloud-native teams is not just to “have backups.” It’s to develop a resilient, intelligent backup strategy that adapts to scale and risk.

Here’s what that looks like:

Automated discovery of new resources
Policy-driven protection tailored to data type and criticality
Immutable backups with time-locked retention
Search-first recovery instead of full snapshot restores
Cost-aware tiering and storage deduplication

Eon helps Google Cloud users reach this level of maturity faster without the burden of custom tooling or constant policy updates.

Ready to simplify backup?

If your team spends hours managing scripts, storage tiers, or backup tags across cloud environments, it may be time to rethink your approach.

Eon was built to make cloud backup resilient, autonomous, and actually useful. From ransomware protection to instant, object-level recovery—and now, zero-ETL access to analytics—we’re here to help you unlock the full potential of your backup data.

Book a demo to see how Eon can modernize your Google Cloud data protection strategy.

To discover how Google Cloud can support your startup, visit our program page. You can also sign up for our newsletter to stay informed about community activities, digital events, special offers, and more.

Zephr.xyz powers real-time GNSS precision on Android with Google Cloud

Wed, 18 Jun 2025 16:00:00 +0000

We’ve all experienced situations where the little blue dot on our map doesn’t accurately show where you are located. Your rideshare arrives on the wrong side of the street, you miss a turn while driving, or the friend you know that you beat on your morning run has a faster time in their fitness tracking app.

Despite significant advancements in GPS technology, achieving reliable, decimeter-level accuracy on consumer devices remains a formidable challenge. Traditional GPS systems can offer positioning, accurate to a few meters, but only under ideal, open-sky conditions. In the real-world, multipath errors, atmospheric disturbances, and signal blockage can all drastically degrade location accuracy, especially in urban, dense, and indoor environments.

This level of uncertainty not only causes inconvenience, it restricts real-time applications, such as augmented reality, navigation apps, targeted ads, and even emergency responders. These are just a fraction of the cases where precise positioning is critical for enhancing user experiences and operational effectiveness.

Zephr.xyz wants to solve challenges like these, and many more. Zephr wants to reimagine GPS for mobile devices, delivering its next-generation GNSS positioning and localization SDK, designed specifically for Android devices and running on Google Cloud.

aside_block: <ListValue: [StructValue([('title', '$300 to try Google Cloud networking'), ('body', <wagtail.rich_text.RichText object at 0x7f10b2d0cac0>), ('btn_text', 'Start building for free'), ('href', 'http://console.cloud.google.com/freetrial?redirectpath=/products?#networking'), ('image', None)])]>

Reimagining GPS for better precision, and better experiences

By harnessing Google Cloud’s powerful infrastructure, Zephr seamlessly coordinates raw GNSS measurements from multiple Android smartphones, as well as enhanced atmospheric and orbits data, to generate anonymized corrections across a cooperative network of devices.

This real-time processing dramatically reduces GPS errors, consistently achieving open-sky accuracies below 50 centimeters and significantly enhancing reliability in urban and obstructed scenarios. Across more than 50 tests in a variety of geographies, Zephr has improved the positioning accuracy of smartphones by over 2x.

Zephr efficiently manages vast amounts of location data streams and performs rapid optimizations necessary for real-time corrections and positioning with Google Cloud's scalable and robust solutions, including Cloud Run, Cloud Storage, and Pub/Sub. Google Cloud’s infrastructure enables low-latency, high-performance computing, ensuring the Zephr SDK meets stringent demands for latency-sensitive applications.

Here is a diagram of how we built it:

Zephr’s Android SDK securely transmits raw GNSS measurements to 5G-compatible API endpoints. Using Cloud Run to scale out data processing and APIs, the SDK generates optimized corrections unique to each device — in real time. In addition, Firebase checks that the appropriate corrections are delivered securely to each specific authenticated client running the Zephr SDK. The Zephr positioning engine then determines a precise location on-device, ensuring both privacy and resilience to network outages, while managing battery usage.

Building location-based solutions for tomorrow

Zephr’s unique cooperative positioning harnesses network effects — each device contributes to and benefits from collective positioning data, creating resilience and precision previously unattainable on commodity hardware. This approach allows Zephr to provide both single receiver and multi-receiver corrections, depending on the density of devices in a given location. Real-time localization, which underpins Zephy’s AI audio navigation assistant, is critical for enabling next-generation AI devices.

Partnering closely with Google Cloud, has helped Zephr to rapidly scale its backend infrastructure, crucially supporting its ambitious goal of setting a new standard in GNSS accuracy and reliability across diverse use cases globally. Leveraging cloud-powered, cooperative GNSS solutions provides businesses and developers immediate access to unprecedented accuracy, opening new opportunities for innovation.

Discover how Zephr.xyz and Google Cloud can enhance the accuracy and reliability of your location-based services. Learn more at Zephr.xyz.

Graduating the Google for Startups Accelerator: AI First in Europe & Israel

Tue, 17 Jun 2025 16:00:00 +0000

Today, we're incredibly proud to announce the graduation of the latest cohort from the Google for Startups Accelerator: AI First from Europe & Israel! This milestone marks the culmination of an intensive three-months journey for these 14 innovative startups, who've dedicated themselves to growing their businesses and pushing the boundaries of artificial intelligence. The hybrid program offered expert mentorship, robust technical support, and access to a powerful global network, empowering founders to scale their impact.

“With Google’s support, we brought our AI recruitment platform into its next generation — the most advanced in the world, with a business model built for $7M+ ARR within a year. Their guidance and exposure to breakthrough models took our tech years ahead.“ - Shira Spetter, CEO, iVERSE

With AI projected to contribute a staggering $15.7 trillion to the global economy by 2030 (PwC), supporting these AI startups is crucial for accelerating groundbreaking innovations, deploying scalable solutions, and ensuring AI's benefits are widely accessible to businesses and communities worldwide. Because when AI innovation thrives, the world moves forward.

“We were initially cautious about deploying LLMs in production for key functionalities. However, after experiencing Gemini 2.5, we're not just convinced – we're actively integrating it to power exciting new features.” - Maria Fe Paz, CEO and founder of Connect by Circular-Lab.

The cohort celebrated the milestone at Viva Technology in Paris where they presented their companies, met potential venture capitalists and had an intimate fireside chat with Joëlle Barral, Research & Engineering Senior Director at Google DeepMind and Arno Amabile, Advisor to the French President Special Envoy for AI.

Learn more about the graduating startups and their inspiring work:

Ambr AI (UK) helps professionals master difficult workplace conversations through realistic Voice AI practice simulations, providing a safe, convenient environment with instant feedback to build crucial communication skills.
Connect by Circular-Lab (Spain) uses AI/ML to structure and centralize diagnostic data, making it accessible for labs, hospitals, and industry stakeholders.
Folio (Israel) empowers industrial sales and application engineers by turning technical specs, configuration data, and application info into instant answers, recommendations, and agentic workflows, speeding work, cutting errors, and boosting revenue for industrial manufacturers and distributors.
Good With (UK) delivers ai-driven financial behaviour analytics for real-time credit risk assessment, enabling lenders to convert binary ‘Yes/No’ decisioning into a 'Safe Journey to Yes' which increases ‘good’ customer acquisition and reduces loss.
Hybr (UK) is a SaaS enabled lettings platform for letting agents cut workloads by up to 80%, turning leads into lets faster, and building transparency into the rental process.
iVerse (Israel) is an AI talent platform built on 50+ years of occupational psychology — combining real-time behavioral analysis, proprietary evaluation layers, and a scalable model to match top AI talent with top AI opportunities worldwide.
Material Evolution (UK) is transforming cement with a novel AI-driven tech that uses industrial waste that requires no heat and significantly reduces carbon emissions.
Metsystem (Denmark) develops an AI powered metastasis-targeting platform to predict personalized cancer treatments and help pharmaceutical companies stratify patients for drug trials.
Noxon (Germany) builds wearable Muscle-Computer Interface (MCI) that makes muscle diagnostics and therapies more accessible, user-friendly, and scalable for remote care.
Punto Health (UK/ Spain) is transforming dementia care with an AI-powered platform that delivers continuous, personalised support for patients and carers, while improving monitoring and coordination for providers.
ShareID (France) enables real-time, privacy-first identity verification without storing personal or biometric data, redefining digital trust.
Tech1M (UK) is an intelligent recruitment engine with AI Agents for sourcing, screening, interviewing and hiring talents anywhere in the world.
V-Art (Ukraine) is a DeepTech startup streamlining IP monetization for brands and AI with a solution to manage and license any digital content at scale.
Whering (UK) is a digital wardrobe & AI styling app that allows users to unlock infinite outfit combinations from the clothes they already own.

We can’t wait to see what comes next for these AI-first solutions and incredible teams driving them. Learn more about Google for Startups Accelerator programs on startup.google.com.

aside_block: <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x7f10b2d11280>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]>

Announcing the first cohort of the Google for Startups Accelerator: AI First UK

Mon, 28 Apr 2025 16:00:00 +0000

At Google, we believe in empowering people and founders to use AI to tackle humanity’s biggest challenges. That’s why we’re supporting the next generation of AI leaders through our Google for Startups Accelerator: AI First programs. We announced the program in January and today, we’re proud to welcome 16 UK-based startups into our accelerator community that are using AI to drive real-world impact.

Out of hundreds of applicants, we've carefully selected these 16 high-potential startups to receive 1:1 guidance and support from Google, each demonstrating a unique vision for leveraging AI to address critical challenges and opportunities. This diverse cohort showcases how AI is being applied across sectors — from early cancer detection and climate resilience, to smarter supply chains and creative content generation. By joining the Google for Startups Accelerator: AI First UK program, these startups gain access to technical expertise, mentorship, and a global network to help them scale responsibly and sustainably.

“Google for Startups Accelerator: AI First provides an exceptional opportunity for us to enhance our AI expertise, accelerate the development of our data-driven products, and engage meaningfully with potential investors.” – Denise, Williams, Managing Director, Dysplasia Diagnostics.

Read more about the selected startups and the founders shaping the future of AI:

Bindbridge (London) is a generative AI platform that discovers and designs molecular glues for targeted protein degradation in plants.
Building Atlas (Edinburgh) uses data and AI to support the decarbonisation of non-domestic buildings by modelling the best retrofit plans for any portfolio size.
Comply Stream (London) helps to streamline financial crime compliance operations for businesses and consumers.
Datawhisper (London) provides safe and compliant AI Agentic solutions tailored for the fintech and payments industry.
Deducta (London) is a data intelligence platform that supports global procurement teams with supply chain insights and efficiencies.
Dysplasia Diagnostics (London) develops AI-based, non-invasive, and affordable solutions for early cancer detection and treatment monitoring.
Flow.bio (London) is an end-to-end cloud platform for running large sequencing pipelines and auto-structuring bio-data for machine learning workflows.
Humble (London) enables non-technical users to build and share AI-powered apps and workflows, allowing them to automate without writing code.
Immersive Fox (London) is an AI studio for creating presenter-led marketing and communication videos directly from text.
Kestrix (London) uses thermal drones and advanced software to map and quantify heat loss from buildings and generate retrofit plans.
Measmerize (Birmingham) provides sizing advice for fashion e-commerce retailers, enabling brands to increase sales and decrease return rates.
PSi (London) uses AI to host large-scale online deliberations, enabling local governments to harness collective intelligence for effective policymaking.
Shareback (London) is an AI platform that allows employees to securely interact with GPT-based assistants trained on company, department, or project-specific data.
Sikoia (London) streamlines customer verification for financial services by consolidating data, automating tasks, and delivering actionable insights.
SmallSpark (Cardiff) enables low power AI at the edge, simplifying the deployment, management, and optimization of ML models on embedded devices.
Source.dev (London) simplifies the software development lifecycle for smart devices, to help accelerate innovation and streamline software updates.

“Through the program, we aim to leverage Google’s expertise and cutting-edge AI infrastructure to supercharge our growth on all fronts.” Lauren Ladd, Founder, Shareback

These 16 startups reflect the diversity and depth of AI innovation happening across the UK. Each company will receive technical mentorship, strategic guidance, and access to strategic connections from Google, and will continue to receive hands-on support via our alumni network after the program wraps in July.

Congratulations to this latest cohort! To learn more about applying for an upcoming Google for Startups program , visit the program page here.

aside_block: <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x7f10b2dd59a0>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]>

34 gen AI success stories with customers and ISVs

Wed, 09 Apr 2025 12:00:00 +0000

Like many of you reading this, I fancy myself a builder. I got my first taste of making a computer do something based on code I wrote into a TI-99 console when I was 8 years old and was hooked. In the four decades that have followed, I’ve seen hundreds, maybe even thousands of developers and companies transform as we shifted from the internet to client-server to mobile and to cloud.

I’ve not seen anything quite as transformative quite as fast as what we’re seeing now, helping companies harness AI to transform their software development, business process, information retrieval, and more.

As part of our commitment to offering the most open and innovative generative AI partner ecosystem, we’re lucky enough to work with the most cutting-edge software companies in the world. As we head into Google Cloud Next ‘25 this week, we thought it might be inspiring to showcase the following 34 use cases illustrating how companies are using AI to transform how they work — moving beyond hype and into production. And if you want even more examples, check out our list of hundreds of real-world gen AI use cases we’ve helped build with our customers and partners.

Hope to see you at Next!

AES - Enabling a massive audit process overhaul with accuracy, speed, and scale with gen AI agents built using Vertex AI and Anthropic’s Claude models.
Airwallex - Detecting and managing fraud in real time in a scalable, always-available environment with Vertex AI, GKE, and GitLab.
Allegro - Enabling millions of real-time, personalized conversations with AI-powered omnichannel orchestration with Google Cloud and GrowthLoop.
Augment Code - Accelerating AI coding with Google Cloud and NVIDIA and deepening the understanding of enterprise code with Vertex AI and Anthropic’s Claude.
BrainLogic - Improving digital commerce experiences with Zapia, a uniquely Latin American personal AI assistant, built with Vertex AI and Anthropic’s Claude models.
Bud Financial - Creating new ways of working and new operating models for financial institutions with Vertex AI and Astra DB from DataStax.
Capital Energy - Taking sustainable energy to new heights with secure cloud technologies, AI, and data platforms with Vertex AI and Fortinet.
CERC - Processing millions of credit data forecasts in minutes with near real-time insights and reduced costs with Databricks on Google Cloud.
Copel - Providing real-time insights with a natural language AI agent that interacts directly with SAP ERP using Google Cloud Cortex Framework.
Cox 2M - Reducing time to insights for non-technical users by 88% with natural-language chat and gen AI with Gemini and ThoughtSpot.
Far Eastern New Century - Streamlining cross-border operations with generative AI with Google Cloud VMware Engine and Microfusion.
Flockx - Combating loneliness by connecting individuals with AI Agent communities via their Collaboration Layer built with Google Cloud and Elastic.
HDFC ERGO - Pioneering insurance superapps for India with personalized AI-driven services at scale with Vertex AI, Niveus Solutions, and Lumiq.
Hunkemöller - Building advanced AI solutions and a game-changing customer data platform for an SAP shop with Vertex AI and Devoteam G Cloud.
Israel Antiquities Authority - Preserving the past for future generations with modern research models with Gemini, NetApp, VMWare, and CommIT.
LiveX AI - Reducing customer support costs by up to 85% with AI agents trained and served on Google Kubernetes Engine and NVIDIA AI.
L’Oréal - Delivering a flexible and scalable set of declarative generative AI APIs, in 3 months, for secure access to gen AI for all with Gemini and LangChain.
Maqqie - Transforming the future of HR recruitment and driving increased revenue and retention with Vertex AI and Rappit.
Mercari - Dramatically improving the user experience for both buyers and sellers on its ecommerce marketplace with Vertex AI and Weights & Biases.
Naologic - Democratizing access to AI for all companies—regardless of IT expertise—with Gemini, Google Cloud for Startups Cloud Program, and MongoDB.
NotCo - Transforming its operations with Google Cloud AI agents and Google Cloud Cortex Framework with SAP and Eleven Solutions.
Palo Alto Networks - Speeding software development with Vertex AI and Anthropic’s Claude and protecting cybersecurity with NVIDIA and Google Cloud.
Quora - Powering millions of human-like daily interactions through dynamic gen AI chat experiences with Gemini, Vertex AI, and Anthropic’s Claude.
Rapid7 - Improving customer experiences with efficient cybersecurity customer support, at lightning speed, with Gemini and Ask AI.
Replit - Making software creation accessible and efficient for everyone with Gemini and Anthropic’s Claude.
Stax AI - Automating manual processes and transforming massive volumes of trust accounting data in minutes with Google Cloud and MongoDB.
Studiosus Reisen - Embracing the future of travel with real-time customer bookings with Vertex AI, SAP, happtiq, and Solid Cloud.
Sumitomo Rubber Industries - Accelerating software development time and delivering innovative products faster with Gemini and Kyocera.
Suzano - Enhancing cloud-based data sources for sustainable materials management on SAP with Gemini, Google Cloud Cortex Framework, and Sauter.
UDN Group - Improving clickthrough rates, enhancing operational efficiency, and providing highly reliable digital media services with Vertex AI and Merkle.
Vodafone - Providing clear customer insights and actionable decision intelligence with a 360-customer view for improved service experiences with Google Cloud and Quantexa.
Wayfair - Driving AI innovation in e-commerce with curated options that elevate online shopping experiences using Google Cloud and Snorkel
WealthAPI - Delivering next-gen financial insights in real time to millions of customers for personalized guidance at scale with Gemini and DataStax Astra DB.
Writer - Building and training over 17 large language models (LLMs) that scale up to 70 billion parameters for custom AI models with Google Cloud and NVIDIA.

Learn more at Google Cloud Next ‘25.

aside_block: <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x7f10b2970820>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]>

These partners are driving a wave of generative AI innovation, building next-generation applications and models, and integrating their solutions with powerful Gemini, Vertex AI, and BigQuery features. These advancements are helping customers realize the value of generative AI faster than ever before. Explore more stories to learn how our open partner ecosystem is supporting customer gen AI deployments, and discover how our partners simplify the discovery, procurement, and deployment of groundbreaking generative AI solutions in the Google Cloud Marketplace.

Global startups are building the future of AI on Google Cloud

Wed, 09 Apr 2025 12:00:00 +0000

The most exciting startups in the world are in Las Vegas this week, as Google Cloud Next kicks off with a major focus on how AI and cloud are powering the next great wave of innovation. Our AI-optimized infrastructure, our broad AI model offerings, and our deep relationships with founders around the globe have put Google Cloud at the center of today’s AI startup movement — in fact, over the past two years, more than 60% of the world’s generative AI startups have been building on Google Cloud.

AI research labs and model builders like Anthropic, Cohere, Magic, Mistral, and AI21 Labs are great examples. Anthropic has been using Google Cloud infrastructure to support model training and inference for several years. Google Cloud has also become an increasingly important route for organizations to access Anthropic’s models. In fact, more than 4,000 companies have started using Claude models via Vertex AI thus far.

This week at Google Cloud Next, we’re highlighting the progress that even more global startups are making toward building AI systems and applications that will create real value for people and businesses. We’ll share some of the new startups who have chosen Google Cloud as their key technology partner; new industry partnerships and resources to make it easier for early-stage startups to build and go to market on Google Cloud; new companies joining our global Accelerator programs; and more ways that startups are achieving success with Google Cloud.

aside_block: <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x7f10b29864f0>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]>

Supporting more AI startups on Google Cloud

This week, we’re announcing an exciting group of startups who are launching new or expanded work with Google Cloud. These companies span a broad swath of use cases, products, and industries, including consumer apps used by millions of people, enterprise use cases like search and data analytics and storage, developer coding assistance, and solutions for unique vertical challenges. These include:

Augment Code is running its AI coding assistant, which specializes in helping developers navigate and contribute to production-grade codebases, on Google Cloud and is using Anthropic’s Claude models through Vertex AI.
Autoscience, a startup building AI agents to aid in scientific research, is using Google Cloud infrastructure and resources through our Startup Program as it begins to build and market its products.
Anysphere, the startup behind the AI-powered code editor Cursor, is now using Anthropic's Claude models on Google Cloud to scale its AI coding assistant to more developers.
Big Sur AI now offers its AI-powered platform for retail and e-commerce customers on Google Cloud Marketplace.
Captions recently released their integration with Veo 2, making it easy for users to add B-roll content to their talking videos.
Eon.io, a startup focused on enterprise backup and recovery, has begun working with Google Cloud through our partnership with Lightspeed Capital; it’s now adding new AI search capabilities to its platform.
fal is a generative media platform for developers, accelerating the inference of gen AI models to improve the speed in which content is generated. The fal team is working with Google Cloud to leverage its Veo 2 technology to help its users create videos with realistic motion and high-quality output.
Hebbia has integrated Gemini models into its Matrix platform, which helps organizations build AI agents capable of working across all of their data.
Magic, which is building frontier-scale models capable of understanding very large codebases, is growing its use of GPUs on Google Cloud as it accelerates research and model training.
Photoroom, a French startup that provides gen AI photo-editing and design capabilities to consumers and businesses, has used Veo 2 and Imagen 3 to improve the quality of its offering and accelerate its development.
Physical Intelligence recently partnered with Google Cloud to support model development, using our secure and scalable AI infrastructure.
Spot AI is a video AI startup that transforms passive security cameras into AI Agents for improving security, safety, and operations in industries like manufacturing, retail, hospitals, construction and more. They're using Google Cloud to power their new interface for building custom video AI agents, called Iris.
Story is working with Google Cloud’s web3 services and infrastructure to bring new capabilities to developers on its platform.
Studyhall AI, which graduated from our UK Growth Accelerator program, has built a mobile application that uses Gemini models to help coach students on reading, writing, and exam prep.
Safe Superintelligence is partnering with Google Cloud to use TPUs to accelerate its research and development efforts toward building a safe, superintelligent AI.
Synthesia, a startup that operates an AI video platform, is using Google Cloud to build the next generation of advanced AI models that replicate realistic human likenesses and voice; the startup is also using Gemini models to handle complex vision and language-based tasks with speed and accuracy.
Ubie, a healthcare-focused startup founded in Japan, is using Gemini models via Google Cloud to power its physician assistance tool.
Udio is using TPUs to help train its models for music generation and serve its rapidly growing customer base.
Ufonia helps physicians deliver care by using AI to automate clinical consultations with patients. It is using Google Cloud’s full AI stack to power its platform, including infrastructure, models on Vertex AI Model Garden, BigQuery, and GKE.
Wagestream, a financial services startup, is using Gemini models to handle more than 80% of its internal customer inquiries, including questions about pay dates, balances, and more.
Wondercraft, an AI-powered content studio that helps users create engaging audio ads, podcasts and more, is leveraging Gemini models for some of its core functionalities and will soon release a Veo 2 integration.

New partnerships with accelerators and VCs

We’re also expanding our work with leading venture capital firms and accelerators, building on our existing relationships with firms like Sequoia and YCombinator. These partnerships help provide technology like TPUs and Gemini models to fast-growing startup companies who are building with AI.

Today, we’re announcing a significant new partnership with the leading venture capital firm Lightspeed, which will make it easier for Lightspeed-backed startups to access technology and resources through the Google for Startups Cloud Program.

This includes upwards of $150,000 in cloud credits for Lightspeed’s AI portfolio companies, on top of existing credits available to all qualified startups through the Google for Startups Cloud Program. These credits help ensure participating startups will have more reliable access to cloud infrastructure and AI technology as they scale.

Lightspeed portfolio companies have already been using Google Cloud infrastructure, AI, and data tools, including Augment, Contextual, Grafana, and Mistral.

New resources to help startups build and go to market more quickly

Today we’re announcing new resources through the Google for Startups Cloud Program that will help startups access our infrastructure and technology more quickly.

Our Springboard program, which helps startup customers bring products to market on Google Cloud, has grown significantly. In the past year, startup customers have launched many new products on Google Cloud Marketplace through this program, including Ask-AI, Cascade AI, Cimulate, Ema.co, Fireworks AI, Mendel, Predibase, Resemble AI, Tektonic AI, and Vijil.

We are also announcing our Startup Perks program, which provides early stage startups with preferred access to solutions from our partners like Datadog, Elastic, ElevenLabs, GitLab, MongoDB, NVIDIA, Weights & Biases, and more. Exclusive discounts and benefits will be added on a regular basis, helping startups build and grow with the best of the Google Cloud ecosystem.

Additionally, Google for Startups Cloud Program members will receive an additional $10,000 in credits to use exclusively on Partner Models through Vertex AI Model Garden, so they can quickly start using both Gemini models and models from partners like Anthropic and Meta.

We’re proud that 97% of companies who join our Google for Startups Cloud Program choose to stay with Google Cloud after their program credits expire, underscoring the value that our products are providing.

New accelerator cohort companies

Google Cloud currently offers a series of Accelerator programs for startups around the world. Today, we’re announcing the Spring 2025 cohort of companies in Google for Startups Cloud AI Accelerator for startups based in North America:

Future of AI: Perspectives for Startups

This year, we also launched our first-ever “Future of AI: Perspectives for Startups 2025” report. To gain a deeper understanding of where AI is headed, we gathered perspectives from 23 industry leaders and investors on their expectations for AI and what it means for startups in 2025 and beyond.

These experts weighed in on topics like the role of AI agents, the future of AI infrastructure, the areas startup investors are prioritizing, and much more. I encourage anyone involved in or interested in the AI startup world to take a look.

It’s this kind of fresh thinking and new technology that’s making Google Cloud a home for the startup community, and AI startups in particular — and we see Next ‘25 as an important extension of this growing ecosystem. With more that 60% of gen AI startups building on our platform today, we want to be a key partner for their innovation. This commitment to startups is ongoing, and will continue to grow with new resources, accelerators, and other programs that help them build and scale their businesses. Please be sure to visit the Startup Hub on the Mandalay Bay Expo Floor at Next ‘25 to learn more.

Rice University and Google Public Sector partner to build an innovation hub in Texas

Tue, 01 Apr 2025 13:00:00 +0000

Rice University and Google Public Sector are partnering to launch the Rice AI Venture Accelerator (RAVA), designed to drive early-stage AI innovation and commercialization. This collaboration enables RAVA to connect AI-first startups with leading enterprises in healthcare, energy, transportation, and the public sector, aiming to drive AI-powered solutions to pressing industry challenges.

In an increasingly AI-driven world, the RAVA team acknowledges the critical need to balance speed of innovation and security. RAVA aims to create an ecosystem where founders can be both bold and responsible by bringing the simplicity, security, and intelligence of Google Cloud's information approach to their startup.

Through this collaboration, participating startups will have direct access to Google Cloud’s AI experts, cloud computing, and sandbox services. Google Cloud will provide a full-stack AI, data, and security sandbox environment that will enable AI-first startups to rapidly prototype, scale faster, and save money.

The AI-optimized sandbox will include the following capabilities:

AI
- Automated provisioning and management of environments tailored to industries including healthcare, energy, transportation and public sector. These environments will include connections to Google Cloud’s differentiated data sets like AlphaFold and access to fully managed services like Healthcare Data Engine, Google Earth Engine and Google Maps.
- AI-infused accelerators, including Graphical Process Units (GPUs) and Google Cloud’s custom-design Arm-based processors (Axion) and Tensor Processing Units (TPUs) for analytics, information retrieval, and ML training
- Multi-agentic AI framework and a unified development platform via Google Vertex AI Platform which includes Agent Builder and 160+ first-party (Gemini, Imagen 3), third-party, and open (Gemma) foundation models.
Data & Analytics
- Modernized API management via Apigee to build, manage, and secure APIs—for any use case, environment, or scale.
- Business and embedded analytics via Looker to explore and share insights in real time as well as access to hundreds of cross-industry public datasets via BigQuery
Security
- The industry’s first multi-cloud security solution — Google Security Command Center, including Model Armor, — as well as Sensitive Data Protection to protect LLM models and data sources against unauthorized exposure, prompt injections, and jailbreak attacks.

Google Public Sector will also provide dedicated training to RAVA startups and supporting teams to maximize their AI literacy and industry adoption.

“We are thrilled to announce the launch of the Rice AI Venture Accelerator in partnership with Google Public Sector,” Rice President Reginald DesRoches said. “This collaboration builds on Rice’s decades-long history of innovation and aligns perfectly with our mission to transform breakthrough research into real-world impact. Through RAVA, we are creating an ecosystem where industry leaders can access the next generation of AI-driven solutions.”

“Google Public Sector is excited to partner with RAVA to build an AI Innovation Hub that will enable startups to accelerate innovation and solve the most complex challenges across different industries. Through our collaboration, we are hoping to help startups to do more with less and to effectively adapt to rapidly changing environments,” said Reymund Dumlao, Google Public Sector Director of State & Local Government and Education

For more information about RAVA, visit https://nexus.rice.edu/rava.

Discover Google Cloud’s latest groundbreaking technologies at Google Cloud Next 2025 in Las Vegas, April 9-11.

Meet the 15 AI startups selected for Google for Startups Cloud AI Accelerator

Thu, 27 Mar 2025 16:00:00 +0000

Startups focused on AI are influencing so many areas of our lives. They’re defining the future of education, advancing healthcare innovation, reinventing collaboration and more.

To help AI-focused startups scale quickly and build responsibly, we’re hosting the Google for Startups Cloud AI Accelerator. This program builds on the success of our recent AI First accelerators and targets startups building AI solutions based in the U.S. and Canada. This is the first of several AI-focused programs we'll offer throughout the year across the US, Canada, Europe, India and Brazil.

After a rigorous selection process, we've selected a cohort of dynamic companies leveraging AI to address a wide range of real-world challenges. Meet the startups:

Alma (Palo Alto, CA): Simplifies US immigration for global talent.
Asepha (Toronto, ON): Develops fully autonomous AI pharmacists.
CAMB.AI (Wilmington, DE): Enables multilingual storytelling with AI.
CerebraAI (Palo-Alto, CA): Detects strokes rapidly using AI-powered non-contrast CT scan analysis.
Creati AI (San Jose, CA): Generates usable AI videos using just elements.
Finnt (Miami, FL): Automates solutions for corporate finance teams.
HydroX AI (San Jose, CA): Automates generative AI risk and compliance.
Instalily (New York, NY): Automates B2B workflows using AI agents.
Instreamatic (Boca Raton, FL): Creates personalized video/audio ad variations.
Kahuna Labs (San Jose, CA): Provides comprehensive technical product support.
Lately (Stone Ridge, NY): Manages social media with AI, boosting ROI.
Multimodal (New York, NY): Automates financial services workflows with Agentic AI.
Simular (Palo Alto, CA): Creates personal AI assistants for computers.
Starcloud (Redmond, WA): Provides data centers in space.
Vody (New York, NY): Builds AI models for enhanced retail engagement.

The equity-free program kicks off at Cloud Next 2025 where the cohort will pitch their company on stage in preparation for a high profile Demo Day in June for potential partners, customers and investors. Startups will then receive 10 weeks of hands-on mentorship and technical support focused on using AI in their core service or product.

These startups will collaborate with a cohort of peer founders and engage with leaders across Google. The curriculum will give founders access to the latest Google AI tools, including Vertex AI, Gemini and Agentspace, and will also include workshops on infrastructure, user experience (UX), growth, sales, leadership and more.

After graduation, startups join the active Google for Startups Accelerator community, where they receive ongoing support, and have the opportunity to build lasting connections with like-minded founders, mentors and investors.

We are honored to partner with this cohort of companies through this Accelerator and beyond. Register your interest to get updates on the program, and join us in celebrating!