ML model registry and lifecycle management
OpenAI uses W&B Models to track all their model versions across 2000+ projects, millions of experiments, and hundreds of team members.
RBC needs governance to manage handoffs between research and compliance teams. W&B Models makes each stage transparent.
M-KOPA builds trust internally and with external auditors by leaning on the model registry’s full lineage tracking and audit trails.
With the whole team on the same page, you can iterate on models faster. W&B’s ML 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
Automatically retrain and re-evaluate machine learning models to keep your team’s production fresh. Easily audit the history of updates, and avoid repeated manual steps for updating models.