Custom AI applications, built on Google Cloud, owned by you.
For technical leaders evaluating custom builds on Google Cloud. Watch the 60 seconds below for the philosophy — then read on for the architecture, the ownership model, and one build already in production.
Bring us the workflow that hurts the most. In 30 minutes, we'll show you what we'd build on Google Cloud — and what we wouldn't.
Book a Google Cloud architecture reviewGemini and Vertex AI woven into application logic, not bolted on.
Most "AI features" are LLM wrappers grafted onto legacy products. We architect the application around the model — and the entire stack runs in your Google Cloud project, on code you own.
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Your GCP project. Not ours.
The application runs inside your Google Cloud organization. Your billing, your IAM, your audit trail. We have access during the build — you revoke it when you're done.
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Gemini in the workflow, not in a sidebar.
Reasoning is embedded in the decisions your application makes — not bolted on as a chat panel. Vertex AI handles orchestration, evals, and model versioning inside your project boundary.
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Your code. Your repo. Open-source stack.
Source lives in your GitHub or GitLab from commit one. No proprietary frameworks, no per-seat licensing. Any competent team can pick it up in days, not months.
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Your data stays your data.
No training on your data. No silent telemetry. Vertex AI runs in your region, in your project, with your evaluation harness. The exit path is a documented procedure, not a renegotiation.
One example of what this looks like shipped.
Custom Google Cloud application. Gemini AI in production. Google Maps powering site intelligence.
Zenture Partners simplifies telecommunications and cloud networking procurement for energy and utilities clients. Their team was buried in vendor email exchanges and manual data entry, while complex site management lacked the location tracking and visualization needed to run telecom services efficiently. Slingr built a cloud-native application on Google Cloud — Gemini AI extracts procurement data directly from vendor emails, and Google Maps powers site visualization and location tracking. The result is a scalable platform that automates procurement, removes manual data entry, and gives the team interactive map-based insights for client decisions.
Let's whiteboard what we'd build.
30 minutes with our team. No deck, no demo. We map your stack, find the highest-leverage workflow, and tell you what we'd build on Google Cloud — and what we wouldn't.