Our tech and startup customers are disrupting industries, driving innovation and changing how people do things. We’re proud of their success and want to showcase what they’re up to! You’ll hear about their new products, their businesses reaching new milestones and their ability to get things done faster and easier using Google Cloud’s app development, data analytics and AI/ML services.

Congrats to Impact Analytics for Closing PVH
With the COVID-19 pandemic, the rise of e-commerce, and supply chain crisis, Impact Analytics had to quickly offer enhancements on their platform that gave retailers access to intelligent, automated, and edge-aware solutions. Google Cloud's best in class AI and ML solutions and highly performant infrastructure gave Impact Analytics the scalability and building blocks to create Ada, a robust predictive algorithm to give PVH and other retailers the tools to enhance their inventory planning capabilities. And now, Impact Analytics just closed a strategic deal with PVH (parent company of luxury brands Tommy Hilfiger, Calvin Klein, True & Co) to build out AI solutions for assortment planning and pricing optimization. Impact Analytics' cutting edge AI and ML guided forecasting engine is built entirely on Google Cloud! Read more

Podimetrics raises $45M Series C round
Podimetrics, creator of the FDA-cleared SmartMat and integrated clinical care services team, is dedicated to early detection and prevention of diabetic amputations, one of the most debilitating and costly complications of diabetes. Its clinical care services platform leverages Google Cloud services to engage with patients, by helping save limbs, lives, and money - all while keeping vulnerable populations healthy in their own homes. Read more about their Series C funding round.

Anvyl raises +$15M in an oversubscribed Series B funding round
Congrats to Anvyl for raising a hugely successful Series B as they modernize & transform the supply chain technology market and more than doubled revenue in the last year. Read more.

Helios has kicked off 2022 in a big way
The audio tone analysis platform, Comprehend: Elite, that they provide to Wall Street quantitative hedge funds now covers all US equities and is fully available here. It’s entirely powered by Google Cloud!

Dapper Labs uses Google Cloud for performance, reliability and decentralization
In case you missed it before the holidays, Dapper Labs is working with Google Cloud as its hyperscale cloud partner to ensure performance, reliability and decentralization for the next wave of mainstream users on Flow, without needing to compromise on decentralization or sustainability. Find out more.

Geotab’s Intelligent Transportation Systems (Geotab ITS) is built on Google Cloud.
Geotab uses GKE, BigQuery, Dataflow and Cloud Composer to build an innovative solution combining analytics and access to massive data volumes so municipalities can make better transportation planning decisions. The sheer volume of information that it handles, along with a need for highly scalable and flexible tools to manage, store, and analyze that data, led Geotab to invest in Google Cloud technology. Read more.

Mux CEO shares advice for getting started with video
Mux CEO, Jon Dahl, sat down with Google Cloud Director, Nirav Sheth, to share best practices and strategies for getting started with video, along with insights and advice from his learnings as a startup founder. Listen to what he has to say.

Google Cloud is proud to support Unstoppable Women of Web3
Unstoppable Women of Web3 (UWOW3) is an action oriented community made of industry leaders supporting education & opportunities for girls, women, and minorities in this burgeoning industry. This International Women’s Day, March 8th, you can catch live interviews with Tech and Web3 leaders from all over the world, covering topics such as how to build communities, how to learn more about Web3, developing technology on the blockchain, how to talk about complex ideas with kids, and more! How you can engage:

• 24-hour Twitter Spaces 

• YouTube LIVE 

• Learn more about the movement

Puppet CTO increases development speed
Hear Puppet CTO Deepak Giridharagopal discuss how they managed to build Puppet's first Saas product, Relay, fast while also ensuring they would be able to remain agile if growth was to happen quickly. Watch video.

Vimeo builds a fully responsive video platform on Google Cloud
The video platform @Vimeo leverages managed database services from Google Cloud to serve up billions of views around the world each day. Read how it uses Cloud Spanner to deliver a consistent and reliable experience to its users no matter where they are. Find out more. 

Nylas improved price-performance by 40%
You don't have to choose between price-performance and x86 compatibility. Hear from David Ting, SVP of Engineering and CISO at @nylas, to learn how Google's x86-based Tau VMs delivered 40% better price-performance than competing Arm-based VMs. Watch now.

Optimizely partners with Google Cloud on experimentation solutions 
Build the next big thing with @Optimizely Experimentation on Google Cloud - driving innovation and next-gen experimentation for enterprise companies and marketers. Check it out.

We are thrilled to announce that Google has been recognized as a Leader for the third year in a row in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms (CNAP). We believe this placement in the Leaders quadrant validates our commitment to providing an accessible, developer-centric platform that accelerates onboarding and supports rapid prototyping across modern workloads.

Our vision for an application-centric cloud focuses on enabling developers to prioritize writing code and building agents or traditional apps by removing infrastructure complexity. Google Cloud provides a unified execution environment supporting serverless, containerized, and agentic deployment options. We believe our placement highlights Google's unique readiness to power both standard enterprise microservices and the next generation of autonomous AI applications.  

Some key features and capabilities of our platform are highlighted below. 

From idea to implementation

Generative AI has ushered in a wave of vibe coding, allowing anyone to go from an idea to a deployed application in a fraction of the time it used to take. To make this even smoother, Google Cloud integrates its serverless infrastructure with AI vibe-coding and prototyping tools. We also simplify access to Google Cloud resources with tools like managed MCP servers and agentic skills — packaged sets of instructions, scripts, and resources to teach an AI how to complete specialized, multi-step workflow. 

• One-click prototyping in Google AI Studio: Developers can build and deploy full-stack applications directly within Google AI Studio, making it a great environment for prototyping and experimentation. With a single click, you can instantly package and publish your vibe-coded applications to Cloud Run. 

• Google-managed MCP servers: To enable AI agents to interact with cloud resources, we support official, fully managed remote MCP servers. An example is the Cloud Run MCP server (via run.googleapis.com/mcp), which allows developers to easily launch endpoints and deploy server-side logic. The MCP tools are deployed with a simple config, skipping cloud builds to launch code in seconds, saving valuable developer time. These fully managed servers are integrated with IAM and VPC Service Controls, and they leverage Model Armor for content security.

• Google's official Skills Repository: Level up your agents with additional, condensed expertise on various Google Cloud technologies. Published and available in Agent Registry, the repository includes skills for Cloud Run, the Well-Architected Pillar (security, reliability, and cost optimization), and more.

Ready to try vibe coding yourself? Get hands on with this codelab to build a vibe-coded app and deploy it to Cloud Run.

From implementation to enterprise-ready

Translating prototypes into production-grade, secure, and cost-effective enterprise software is where Google Cloud excels, with a full suite of developer, architect, and platform engineering tools. From designing your application to optimizing day 2 operations, we offer the services and tools to help you build, operate, and deploy applications across their entire lifecycle, and you have the freedom to build with any language, any library, and any framework.

Build

• Build with Google Antigravity: At Google, we’re simplifying and expanding our development ecosystem behind the Antigravity harness, collapsing developer silos into a unified orchestration layer. By integrating multi-step AI reasoning directly into the developer workflow, Antigravity natively brings local codebase development to our cloud-native application platforms (e.g., Cloud Run).

• Design and deploy with Application Design Center (ADC): Now, you can bridge the gap between developer velocity and enterprise control, using Application Design Center to eliminate manual Terraform and YAML configuration. This platform engineering component helps teams design, standardize, and deploy template-driven applications on Google Cloud. It is also integrated as part of Gemini Cloud Assist design agent and published as an MCP server. With ADC, you can visually design your architecture using Cloud Run services, databases, and event brokers backed by automated Gemini Cloud Assist security templates. Beyond human-guided design, ADC enables programmatic orchestration at the time of no HITL (Human-in-the-Loop), allowing automated pipelines to provision policy-governed Terraform configurations directly and autonomously.

Operate 

• Intelligent investigations: Integrating Gemini Cloud Assist with native telemetry creates an AI-driven framework for Day-2 incidents. When alerts fire, operators engage Gemini Cloud Assist to instantly synthesize logs and metrics, pinpoint root causes, and generate remediations — context that can be handed off to accelerate support escalations. Crucially, IAM permissions strictly govern all AI recommendations, and help to ensure explicit human-in-the-loop approval are required before any infrastructure changes occur.

• Cost analysis and optimizations: Machine learning algorithms learn natural seasonal traffic cycles to detect cost anomalies within minutes, triggering notifications to protect your bottom line without risking destructive infrastructure shutdown.  

Deploy

• Reliability and high availability: Cloud Run is a regional service by default, but you can deploy an app to multiple regions via a single gcloud command. Integrated with service health, Cloud Run automates cross-region failover and failback. If a service in one region becomes unhealthy, traffic is automatically routed to the next-closest healthy region, failing back once the issue is resolved.

• An open platform: As a long-time and top contributor to the Cloud Native Computing Foundation (CNCF), we operate with an open-source-first strategy. By integrating foundational, community-driven technologies, we help enable application portability for enterprise customers who are increasingly demanding multi-cloud flexibility

Ready to start deploying your apps to Google Cloud? Get hands on with these codelabs:  

• Build an app with Antigravity on Cloud Run.

• Deploy a Cloud Run app via Application Design Center.

• Optimize application costs with Gemini Cloud Assist.

From enterprise-ready to autonomous

AI agents are software’s next frontier. They offer more than just increased productivity and efficiency; they can unlock exponential growth. To provide enterprises with robust agentic deployment options, Google Cloud provides a dedicated infrastructure stack tailored specifically to host, govern, and secure autonomous agent fleets. This stack seamlessly integrates with our Agent Development Kit (ADK) as well as other leading agentic frameworks to give developers maximum flexibility.

Gemini Enterprise Agent Runtime
At the core of this stack is Gemini Enterprise Agent Platform and its dedicated Agent Runtime, which delivers the serverless and containerized deployment options you need for enterprise-scale agent development, including the following capabilities:

• Native personalization: Built-in sessions and memory banks manage context and long-term state, preventing costs from ballooning.

• Agent observability and tracing: Built on OpenTelemetry (OTel) standards and agentic schemas, turnkey dashboards feature agent topology graphs and interactive trace logs that detail sessions, tool calls, and reasoning paths.

• Agent evaluation and simulation: Automated simulation tools allow developers to test agents against golden sets with side-by-side comparisons and simulate thousands of interactions to test edge cases.

Hosting agents on Cloud Run
For customers requiring additional flexibility, granular control, or specific regulatory compliance, Cloud Run serves as an excellent serverless alternative to host your agents. Some of its latest features include:

• Cloud Run instances (coming soon): This primitive manages individual, addressable, long-running singleton resources with integrated Cloud Storage volume mounts, allowing persistent background agents to be deployed cost-effectively.

• Cloud Run sandboxes: Hard-isolated environments spin up in under 500 milliseconds to safely execute untrusted, model-generated code, protecting the host system from unauthorized access.

Agent security, governance, and auditability
To securely deploy AI agents and prevent unmanaged shadow AI, enterprises need an ironclad governance framework. Google Cloud delivers this through Agent Identity (non-human IAM with cryptographic IDs) to provide an auditable trail of all actions and reasoning; a centralized Agent Registry to manage approved agents, skills, tools and application artifacts,  and prevent unauthorized tool integrations; and an Agent Gateway to proxy traffic, enforce Model Armor policies, and actively block destructive actions. These features are available on Agent Runtime today and will be available soon on Cloud Run and Google Kubernetes Engine (GKE).

Ready to start deploying agents? Check out various codelabs featuring Gemini Enterprise Agent Platform here.

Build the future of cloud-native applications

Whether you’re a vibe coder deploying your first full-stack application, a software architect standardizing production microservices, or an enterprise team scaling a fleet of secure AI agents, Google Cloud delivers the simplicity, elasticity, and security you need. Read the full report: Download your complimentary copy of the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms (CNAP).

_{Magic Quadrant for Cloud-Native Application Platforms, By Mukul Saha, Alex Coqueiro, Prasanna Lakshmi Narasimha, Richard Watson, 3 August 2026}

_{Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Google.} 

_{Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.}

Most enterprises connect with their customers through a device. Whether it’s using a mobile app to order a product, contact customer service, view content, or manage their account, the customer experience depends on how well an app can run locally on the customer’s device.

For this reason, building and testing applications across a wide variety of devices is critical for any enterprise launch that involves locally running components. However, procuring and hosting devices at scale is expensive and complex, and tests are often flaky, inconclusive, or just difficult to debug. This leaves many developers to test launches on the physical phones in their pockets and hope the results apply to most devices. 

To solve this challenge, today we are excited to announce the public preview launch of Developer Device Platform (DDP) on Google Cloud. DDP is a fully managed cloud platform that provides instant, on-demand access to multiple hardware profiles across real physical devices and high-concurrency virtual emulators. DDP represents an evolution of Firebase Test Lab for Cloud developers, and is also the first device platform built for agentic development. With DDP, developers can now utilize their preferred agents to vibe code apps, run tests, debug, and optimize performance across devices efficiently and quickly.

Build and test your apps to guarantee performance

In the standard mobile development lifecycle, developers iteratively build new features, run QA tests to ensure performance across a variety of target devices, and ship the optimized and debugged feature to production for their users. Developer Device Platform offers two main functions to accelerate this cycle:

Interactive debugging with Device Streaming: With our Device Streaming API, developers can directly access an emulator or physical device of their choice, and vibe code, iteratively test, debug and interact with the app remotely. Device streaming makes it simple to dive into your customer experience, and scroll and click in real time, all while also monitoring performance on the real device hardware.

Parallel testing with Device Run: With our Device Run API, developers can write tests as part of their CI/CD pipelines and run them in parallel across hundreds of different devices at once. With the results, developers can pinpoint and debug specific device issues, and ship code to production with confidence that it will run across device tiers.

Accelerate mobile app development with DDP agent skills and efficient tests

The rise of coding agents in mobile development specifically opens up new possibilities when paired with physical devices. Coding agents can interact and test on the real hardware, helping them take advantage of unique phone screen sizes (e.g., foldable phone UI) and specialized hardware (e.g., CPUs vs GPUs). 

Developer Device Platform will soon integrate with Android Studio and Android CLI, giving you direct access to physical devices via Device Streaming API. The DDP agent skill will also allow you to work with the AI coding agents of your choice to accelerate development. With DDP agent skill, coding agents can:

• Execute multi-step user journeys independently

• Spot visual artifacts

• Analyze real-time chip performance on-device

• Validate fixes to hardware specific bugs and/or optimize for unique phone features

In addition to these agentic capabilities, DDP also enables developers to package apps and launch parallelized tests with smart sharding, giving you access to results across hundreds of devices in minutes. With smart auto-retries, DDP also retries specific tests that fail within your shards, helping you get past errors faster without rerunning your entire suite of tests.

Start building with Developer Device Platform today

Starting August 12, Developer Device Platform is available in public preview to all Google Cloud users. During public preview, users are charged based on a pay-per-minute model so you pay only for the active testing minutes you consume, with rates differing for emulator vs physical devices.

We can’t wait to see how Developer Device Platform can help mobile developers across Google Cloud accelerate their development and take advantage of the growing number of unique device features and on-device AI possibilities.