Custom models trained, validated, and deployed against real business metrics.
We build machine learning models the way we build software: with tests, monitoring, and a clear owner, not as a one-off notebook that nobody maintains.
Model development scoped to a specific, measurable outcome
Rigorous validation against holdout and real-world data
Deployment pipelines with drift monitoring built in