Overview
Practical AI features wired into real product surfaces — not demos that die in a slide deck.
AI that ships to production
We scope use cases, evaluate models, and implement retrieval, evaluation, and monitoring so AI features stay useful and safe.
What you get
LLM apps
Assistants, copilots, content tools.
Predictive models
Forecasting and scoring pipelines.
Guardrails
Eval harnesses and human review gates.
Delivery process
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01
Use-case fit
ROI and risk screening.
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02
Prototype
Thin slice with metrics.
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03
Harden
Evals, privacy, latency.
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04
Operate
Monitoring and iteration.
Tech stack
Tools we use to design, ship, and operate this capability in production.