Weights & Biases for enterprise
Build your best AI
- Push experiments to production faster
- Rely on a single system of record for all your ML projects
- Easily automate machine learning at scale
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
Microsoft
Productionize machine learning
- Run thousands of concurrent experiments as a team and visualize them all in a centralized location
- Evaluate and compare models together to uncover insights
- Real-time metrics enable easy debugging and performance improvements
“We use Weights & Biases as the brain of our operations. It ensures the highest quality models make it to production”
Gabor Angeli, Senior Manager
Square
Fully managed and enterprise-ready
- Support for all major clouds, on-prem, and hybrid deployments
- Enterprise grade security, SOC 2 compliance, practices, endpoint security, encryption, and backup controls
- Interoperable with all major infrastructure, frameworks, tools, and models
- Extendable with webhooks and connections that enable ML CI/CD at scale
“We use W&B to train our models at OpenAI. You simply can’t do ambitious, expansive projects without best-in-class tools.”
Peter Welinder, VP of Product and Partnerships
OpenAI
Reduce time to market
- 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.”
Richard Socher, fmr Chief Data Scientist
Salesforce
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”
Alborz Alavian, Senior Software Engineer
Woven by Toyota
Deliver continuous ROI on AI investment
- Consistent view of training, evaluation, and production data to quickly identify what went wrong
- Identify edge cases to improve on production deployments
- Evaluate machine learning using software testing best practices with ad-hoc, scheduled and multi-dimensional testing
- Usage monitoring gives you immediate visibility into how efficiently you're leveraging your compute resources
“We’re now driving 50 or 100 times more. ML experiments versus what we were doing before.”
Phil Brown, Director of Applications
Graphcore
Tap into the world’s best machine learning talent
- Enterprise-focused courses on LLM-powered applications, CI/CD, business decision making, and more
- Our practitioner-focused blog highlights our newest integrations, walkthroughs of big product enhancements, and more
- Integrations with the most popular frameworks, libraries, and tools
“Fantastic for those building in the LLM ecosystem. Had a great experience learning about techniques to make a product-grade application.”
Sample review from our LLM-Powered App Course
A system of record developers want to use
