Feature Engineering Platform

Feature store as-a-service: feature definition registry, feature pipeline orchestration, online + offline serving, point-in-time correctness, model drift detection.

• Feature definition registry per team
• Offline feature compute (dbt/SQL transforms)
• Online feature serving sub-10ms (Feast/Redis)
• Point-in-time correctness validation
• Model drift detect + alert on distribution shift

• Eliminate training-serving skew
• No duplicate code between training and serving
• Ship ML faster — features ready-made
• Feature importance tracking — know what drives model