Model Registry
Version, compare, and promote models. Full lineage from data to deployment.
/ Overview
Model Registry is the single source of truth for model versions. Track lineage from data to deployment, compare metrics across versions, and promote to staging or production with approval workflows.
/ The_Problem
Models multiply fast; without a registry you lose track of what's where, what data trained it, and who approved it. Model Registry is the single source of truth: version, lineage, and promotion in one place.
/ Lineage_from_data_to_deploy
Every model version is linked to its training run, dataset snapshot, and config. Trace back to the exact data and code that produced the model running in production.
/ How_It_Works
Register and version
Push artifacts, tags, and metadata. We store weights and configs and link them to the training run and dataset so lineage is automatic.
Compare and promote
Compare metrics across versions, run evals, and promote to staging or production. Approval gates and rollback in one click.
/ Use_Cases
Audit and compliance
Full lineage from data to deployed model. Answer 'what data trained this model?' and 'who approved this version?' in seconds.
Team collaboration
One registry for research and engineering. No more 'which checkpoint was that?'—everything is tagged, searchable, and promotable.
“Model Registry finally gave us one place to point when someone asks which model is in production and how we got there.”
/ Roadmap
Versioning
Tags, metadata, storage
Lineage
Data → training → deploy
Approvals
Promotion gates, rollback