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.
Collaborate centrally
With the whole team on the same page, you can iterate on models faster. Weights & Biases’ 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
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?”
Model CI/CD
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.
ML model lifecycle
Centrally manage all your model versions through every lifecycle stage, from development to staging to production.
Model cards & QA
Adopt ML model management best practices with W&B Models today.
The Weights & Biases end-to-end AI developer platform
Weave
Models
The Weights & Biases platform helps you streamline your workflow from end to end
Models
Experiments
Track and visualize your ML experiments
Sweeps
Optimize your hyperparameters
Registry
Publish and share your ML models and datasets
Automations
Trigger workflows automatically
Weave
Traces
Explore and
debug LLMs
Evaluations
Rigorous evaluations of GenAI applications