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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.
Resultaten
- 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
Waar het wordt gebruikt
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.
Wat we leveren
- RAG and vector search
- Structured extraction
- Evaluation harnesses
- Cost and latency engineering
- Data-protection review
FAQ
Veelgestelde vragen
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.
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