A single system of record for your machine learning teams
An interface and workflow that enables collaborative model building and better outcomes
Easily automate ML pipelines for ongoing, interactive model training and evaluation
Auditable and explainable end-to-end machine learning workflows for reproducibility and governance
“We were drawn to W&B because we realized our existing approach just didn’t work with a remote team. W&B is a much better home for our experimentation results. Plus it’s super easy to use. ”
Dan Nissenbaum, Principle Research Software Development Engineer
The best platform for iterative experiments: visualize results and metrics in context, drag and drop to uncover insights
Track everything so nothing gets lost
Easy debugging UX to uncover issues with models or compute usage quickly
“Saving everything in your model pipelines is essential for serious machine learning: debugging, provenance, reproducibility. W&B is a great tool for getting this done.”
Dramatically enhance team productivity and governance
Organize projects to make handoffs seamless
Protect and secure valuable intellectual property
Reduce key people dependencies for scaling global teams, no matter the size of your machine learning organization
“We now can understand corner cases better.” by sorting hundreds of thousands of samples — and exploring their corresponding metrics, ground-truth, and model-prediction visualizations — all via W&B tables”