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Teams

Hire AI developers who have shipped to production

Plenty of engineers can call a model API. Far fewer have owned an AI feature through an evaluation regression, a cost spike and a compliance review. Those are the people we introduce.

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Ergebnisse

AI features that pass a data-protection review
Measured accuracy instead of anecdotes
Running costs modelled before rollout
Knowledge transferred to your own engineers

Teams

Typische Einsätze

Feature ownership

One engineer accountable for an AI capability end to end.

Evaluation and hardening

Turning an internal prototype into something you can sell.

Advisory

A senior voice in build-versus-buy decisions on AI tooling.

Unsere Leistungen

RAG and vector search
Structured extraction
Evaluation harnesses
Cost and latency engineering
Data-protection review

FAQ

Häufige Fragen

Which models do you work with?+

Whichever fits the task, cost and data-residency constraints. We are not tied to one provider.

Can they work alongside our data team?+

Yes, that is the most common arrangement.

You already have the idea. Let's define what comes next.