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 — built on Google Cloud and delivered as a fully managed solution we run for you, or set up in your own Google Cloud environment if you'd rather.
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Fully managed — or in your own cloud.
By default we build, host, and run your application on Slingr's Google Cloud infrastructure — turnkey, with no operations burden on your team. It ships in a secure, portable capsule, so you can keep it hosted with us or move it into your own Google Cloud account anytime — your call.
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The right model — in the workflow, not a sidebar.
Reasoning is embedded in the decisions your application makes — not bolted on as a chat panel. Through Vertex AI we pick the best model for each task — Gemini, Claude, and more — with orchestration, evals, and versioning handled for you.
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We build it. You own it.
We build on an open-source stack — no proprietary lock-in, no per-seat licensing. You own the source code and the IP outright, and 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. Your data stays isolated to your application, and an export or hand-off is a documented procedure — never 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.