Human feedback
Incorporate human insight to improve quality
Capture feedback from domain experts and end users to understand how your app should behave and identify quality issues in production.
Intuitive labeling UIs for business users
MLflow's Review App enables domain experts to provide feedback on production logs. Share logs for review using predefined or custom questions.
Track and visualize feedback
Attach expert and user feedback to traces as versioned labels. Visualize this data in Trace UIs and dashboards to identify quality issues.
Capture end-user feedback
Attach end-user feedback from your deployed app to MLflow Traces, enabling you to debug negative feedback with step-by-step execution details.
Integrated Chat App
Deploy app versions to the Review App's chat UI. Domain experts can interact, provide instant feedback, and help assess quality and identify issues.
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Full open source MLflow compatibility
Scalable, production-ready trace ingestion
Store up to 100K traces at no cost
No fixed platform fees
Unlimited users
Unlimited retention of ingested traces
Access to your data via Databricks Delta Tables, Al/BI, SQL, and Notebooks
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