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Artificial Intelligence
Models that survive contact with production.
We take AI from notebook to system: retrieval, evaluation, guardrails, cost control, and the monitoring that catches drift before customers do.
Challenges
What we see repeatedly
- Demos that impress but never ship
- No objective way to tell if a change made quality worse
- Inference costs scaling faster than revenue
Approach
How we address it
- Evaluation harnesses gating every prompt and model change
- Retrieval architectures grounded in your own corpus
- Routing and caching strategies tuned to cost per resolved task
Work
Artificial Intelligence engagements
Working in artificial intelligence?
We’ll tell you in the first conversation whether we think we’re the right fit — including when we think we’re not.
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