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Honestly, there wasn't much of a choice. Zen Reports reads GA4 data through Google's Analytics Data API and that API only lives inside Google Cloud. We needed a GCP project for the OAuth consent screen and the analytics.readonly scope, and Google's verification review that lets users connect their Analytics in 30 seconds with zero anxiety. AWS, Vercel, and Cloudflare are great elsewhere in our stack but there's no path to GA4 from outside Google's own cloud.
A powerful backing for entrepreneurs
GCP is amazing for early startups looking into shipping serious work. the infrastructure is amazing and their startup program is incredible.
All of our infrastructure is build on Google Cloud.
Shout out to google Start ups for their support.
Claro runs on Google Cloud. BigQuery is our analytical backbone, we store and query millions of rows of supplier data, enrichment history, and confidence metadata there. On top of that, the full data science stack (Vertex AI, notebooks, model training environments) is where our team runs experiments, benchmarks new validation approaches, and iterates on scoring logic. GCP gives us the throughput for parallel LLM calls (multi-model consensus), the storage for customer knowledge bases, and the flexibility to orchestrate long-running enrichment jobs across thousands of rows.
Friendliest cloud in the sky
Google has been a great partner in enabling our product
I chose GCP because it gives me a good balance of reliability, pricing, and managed services. It’s easy to scale, the tooling is solid, and it integrates well with the rest of my stack without adding extra operational overhead.
The 'brains' of Breadth Edits live on Google Cloud. We leverage Cloud Run to orchestrate our heavy-duty motion rendering services with incredible elasticity. Furthermore, the Gemini API has been instrumental in translating complex creative prompts into structured motion data. Google Cloud’s ecosystem provides the industrial-grade reliability our AI-driven video engine demands.
Big thanks to Google Cloud for providing the infrastructure backbone.
From Kubernetes to networking and scaling environments, GCP enables us to provision isolated application workspaces on demand.
Magine is indirectly backed by Google.
It’s an exceptionally capable AI agent.
Google cloud offers access to frontier image and video models.
ClawMetry Cloud uses Cloud SQL to store encrypted agent snapshots for thousands of users, with Cloud Run handling the compute layer. GCP gives us the reliability and scalability to serve users globally with low latency - and the tight integration between Cloud SQL, Cloud Run, and GCP's security model means we can guarantee data isolation per user without building complex infra ourselves.
Reliability and support provided!
A great cloud provider.
We run every Coasty agent on its own isolated VM in GKE. GPU-accelerated inference at scale, with balloon pods for instant cold starts.
Backup for when it might be needed.
Allowed us to get off the ground and host some of the functions.
Its easy to use ecosystem led us to deploy everything in one dashboard.
Google Cloud provides the infrastructure that powers parts of Greta’s performance and scalability. Its reliable compute and AI ecosystem helped us build and ship faster as we scaled the platform.
another cloud that supports the product
ClawPane runs on GCP for reliable, low-latency infrastructure and clean scaling. It keeps routing fast and predictable under bursty traffic. GCP’s managed services let us focus on routing logic instead of ops.
Google infrastructure for storage and inference
The infrastructure made Chiron scalable and not just a prototype.
Firebase gave us the full backend stack - Auth, Firestore, Cloud Functions, Storage - without managing infrastructure. The seamless integration between services and generous free tier made it the obvious choice for launching an AI-powered app quickly and scaling affordably.
I had to learn this in the start but now it's super easy to setup and give my future customers access to my projects in a secure manner through their google account.
Thanks to Google for a generous Startup Package! Gemini is all over this product!
Security and scalability were our top priorities. Google Cloud Platform (GCP) provides the low-latency infrastructure required to transform spreadsheet data into fast REST APIs for production environments. Its robust ecosystem allows us to offer professional features like real-time analytics and Bearer Token authentication with the same reliability expected from high-end enterprise backends. Choosing GCP ensures that as our users' projects scale to millions of requests, the infrastructure remains rock-solid.
Well made cli and general experience to bring productivity and use to our users with permissions.
We use GCP to load balance and host APIs. We moved from AWS due to cost and simplicity.
We wanted infrastructure we don’t have to think about. Google Cloud gives us reliability, scale, and solid developer tooling without getting in the way. It’s boring in the best possible way: it just works while we focus on the product.
Google Cloud lets us deploy fast, scale easily, and sleep at night.
One of the platform that helps us serve efficiently
Supported by Google Cloud for AI startups program
We use Google Cloud Run, Spanner and Vertex AI
Host and manage some of our backend on Google
Google Cloud APIs provide accurate, real-world data for maps, traffic, and places. The quality and consistency of their data makes it possible to build context-aware features that actually hold up in everyday use.
This is our heavy lifter! This is where the Sliq magic happens 🔮
Thanks to GCP, we can easily deploy Sliq and serve it to our users worldwide.
Google Cloud makes vibe-coding real at scale - I can go from experiment to production without switching stacks.
The engine behind our agents, emulators, devices, and pipelines. Scales as fast as our customers ship.
Preflight runs on GCP. Cloud Run and the startup credits made spinning up AI workloads painless.
Cursor is very useful. It helped me implement the complex features of the project.
A great cloud experience.
Google Cloud made it super easy to handle everything from auth and database setup with Firebase to backend logic with Cloud Functions. Integrating BYOK through GCP gave us full control without adding friction. It’s a clean, scalable setup that just works.
Because their infra lets us scale without stress — and their Google for Startups Cloud Program has supported our whole journey.
Our infrastructure. Neat runs on GCP.
Our stack is clean and fast: real-time sync, Next.js for structure, Tailwind for beautiful UI. Designed to feel invisible so filmmakers can focus on the story.
Totally recommend GCP for new devs! I was able to move from 0 to hero blazingly fast!!!
Our inference cloud service.
GCP gives us the scalability and reliability we need for handling AI workloads and hosting complex data pipelines.
The quiet powerhouse behind Jinna’s intelligence.
Google Cloud’s developer-friendly infrastructure gives Traycer a rock-solid foundation. Cloud Run keeps our stateless server stack scalable, fast, and easy to manage.
All of our infra is hosted on Google cloud.
Our hosting partner as always. GCP is great for modern React.js apps and backend as well.
We use Google Cloud Platform and love how thoughtfully their services are designed. The pieces fit together naturally, letting us build powerful software systems. Whether going serverless, containerized, or hybrid - GCP makes our lives easier. Solid engineering! 🚀
Reliable and solid for handling files. Feels safe to build on top of it.
Google Cloud Platform makes scaling fast and reliable — perfect for handling large video workloads with minimal friction compared to other clouds.
Google Cloud makes it so easy to get a web app up and running
Google Cloud has been rock-solid for us — uptime is excellent and performance is consistent, even under heavy workloads.
Reliable, scalable, and seamlessly integrates with everything we use
It provides strong back-end support.
Gave us $2,000 USD in AI Startup Credits. Was a Godsend 🙏🏼
SEO Speed Test uses Google's Cloud Platform APIs for reporting site performance metrics
GCP gives us scalable infra with minimal friction. Their tooling around AI workloads has improved significantly in the past year. Easy integration with AI pipelines and generous scaling.
GCP is our go-to cloud provider. Easy to train and host custom models, great infra with Kubernetes, fast responses from the support team, and easy to navigate within the platform. We worked with AWS before, but GCP takes the win for us.
Some of the coolest image results on RemixMart came from Google’s models. Low-key underrated.
Secure, reliable hosting infrastructure ensuring high availability and performance.
i self host everything on GCP and am super thankful to their startup team and program for giving me some credits to get integral off the ground. great product and support.
Big thanks to Google Cloud ☁️
Your startup credits have been a huge help in getting our infrastructure off the ground without having to worry about upfront costs. It’s empowering to see cloud giants supporting early-stage builders like us 🚀🙏
best option for cloud platform
The secure, scalable infrastructure behind Multapply's AI-powered job matching. GCP's robust cloud services and AI/ML tools enable us to process thousands of job applications while keeping user data safe and private
GCP has been solid for our AI infra stack, especially around inference and data pipelines. The tooling is consistent, and the managed services scale with less hand-holding than most
There’s merits to all the hyperscale clouds but we’ve chosen GCP for several of our core services. They get containers right with Cloud Run, we use PubSub heavily for async workflows, and Gemini has first-class models at a range of price points.
Reliable infrastructure for hosting and scaling.
Ensures reliable, scalable cloud infrastructure with global reach.
Extremely fast, easy to use, and secure- helping us scale and deliver a seamless user experience.
cheap hosting alternative for aws
For infrastructure for our backend
Easy to use and store data
Scalable cloud infrastructure
Contextual AI is built on Google Cloud
Better for fast integrations
Enterprise-grade AI infrastructure
Our backend runs fully on GCP. We rely on spot instances to power our distributed worker processes efficiently.
Using it to host my apps, and I love how it scales to zero, keeping costs minimal when there's no traffic
Great backend for cloud servers!
GCP offers fast, scalable infrastructure with easy-to-integrate APIs and strong support for AI and machine learning workloads. It gave us the flexibility to build PageTest.AI quickly, with global reliability and cost efficiency—ideal for a bootstrapped launch.
Alternatives considered: AWS, Azure
Why we chose GCP: GCP struck the right balance between performance, pricing, and ease of use—especially with strong AI/ML tooling and generous free tiers for getting started quickly.
As part of the Google for Startups program, we gained access to technical mentorship, cloud credits, and a global network of innovators. This collaboration allowed us to refine PRISM’s architecture, optimize costs, and fast-track integrations with critical fintech ecosystems. While we’re proud to leverage Google’s infrastructure and resources, Block Convey operates independently—ensuring our solutions remain unbiased, flexible, and tailored to fintech’s unique needs.
Extremely fast, easy to use, and secure—helping us scale and deliver a seamless user experience.
We want to shout out to Google Cloud Platform (GCP) for their incredible support in bringing our product to life. GCP's Firebase has been instrumental in helping us scale seamlessly and easily handle high volumes of data. Their robust infrastructure and cutting-edge technology allowed us to focus on delivering the best experience to our users without worrying about the backend. Thank you, GCP, for empowering us to innovate and launch with confidence!
I was using Vertex AI to fine-tune my own model. Plus we got approved for Google AI Startup Program to cover our infrastructure costs —a huge boost for our growth!
All of our infra was created with Google Cloud. We are also thankful for having us in their Startup program.
Google Cloud Vision API – for powerful OCR and image analysis
We support deploying on Google Cloud and use it ourselves too
AI and data analytics are at the core of our product. We believe it's crucial to use a cloud provider that’s reliable for data-driven services like BigQuery, Composer, and Pub/Sub. That’s why we chose GCP as our infrastructure.
Quick way to setup your back-end