Model registry and lifecycle management

Dependency graph of datasets
Collaborate Centrally
With the whole team on the same page, you can iterate on models faster. The model registry gives you a central source of truth: it's clear what model is in production and how new candidate models compare.
Governance at Scale
Gain visibility into the model development process with just a few lines of code. Easily view model lineage and answer questions like "What was the exact version of the dataset this model trained on?"
Data Access controls
Data Access controls
Model CI/CD
Automatically retrain and re-evaluate models to keep your team's production models fresh. Easily audit the history of updates, and avoid repeated manual steps for updating models.
Model Lifecycle
Centrally manage all model versions through every lifecycle stage, from development to staging to production.
Data Access controls
Data Access controls
Model Cards & QA
Visualize comparisons between model versions to evaluate performance. Identify regressions before deploying models to production.