SchemaSentry

SchemaSentry is a web app for ML Ops teams that continuously validates training and inference data contracts (schema, ranges, null rates, categorical drift, join keys) and blocks bad data from reaching production models. It plugs into your warehouse/lake and model endpoints, learns baseline distributions per feature, and alerts when upstream pipelines change in ways that will degrade predictions or cause runtime errors. The product focuses on the unglamorous but expensive reality: most model incidents are caused by data changes, not fancy ML bugs. It provides lightweight checks-as-code, auto-generated tests from historical data, and a simple approval workflow so data producers can ship changes safely. This is not a “magic AI” platform; it’s a practical guardrail that reduces pager fatigue and failed deployments, with optional AI-assisted root-cause summaries to speed triage.