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 on dedicated resources.
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Fully managed, on dedicated resources.
By default we build, host, and run your application on Slingr's Google Cloud infrastructure — turnkey, with no operations burden on your team. Dedicated resources, never pooled with anyone else's, keep it portable: keep working with us, take it in-house, or hand it to another team. 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. It's yours to keep.
We build on standard, widely used technology, with no per-seat licensing. The code, data and specs we build for you are yours to keep, and any competent team can pick them up without starting over.
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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.