Shipping reliable models to production

The gap between a promising prototype and a dependable production system is wider than most teams expect. Latency, cost, observability, and graceful failure all need attention long before launch.

We treat evaluation as a first-class part of the pipeline: every change is measured against a held-out set, and regressions block the release. This discipline is what lets us move fast without breaking the experience.

Reliability is ultimately a product feature. Users do not see your architecture — they feel whether the system is fast, accurate, and honest about its limits.