Skip to main content


An extensible AI Metadata and Model Operations Service

Easy to Use

AI Metadata Store

Log, Search and Compare metadata from experiments, models and checkpoints. Support for logging metrics and events from various services involved in training and deployment of models.

Focus on What Matters

Model Registry

Track and store trained models or upload them to a built in artifact server. Automatically apply recipes to transform models to representations understood by inference platforms and runtimes.

Powered by React

Continuous Model Evaluation

Measure performance metrics such as throughput and accuracy of models. Write deployment checks based on metrics to automatically tag models to promote to production.