Weights & Biases is a developer-first MLOps platform. Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions. Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow. Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&B is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects, and it's easy to get started. Run your first experiment in 30 seconds with this quick hosted notebook: [bit.ly/intro-wb](http://wandb.me/intro)
| Website | http://www.wandb.ai |
| Revenue | $37.8 million |
| Employees | 248 (11 on RocketReach) |
| Founded | 2017 |
| Address | 1479 Folsom St, San Francisco, California 94103, US |
| Phone | +1 415-609-3701 |
| Industry | Software Development, Deep Learning, Developer Tools, Machine Learning |
| Keywords | Mlops Platform, Machine Learning Platform, Machine Learning Operations, Model Monitoring, Developer Tools, Ai Platform, Deep Learning Platform, Model Debugging, Experiment Management, Data Versioning, Model Training, Model Deployment |
| Competitors | Weights & Biases, pyFBS, neptune.ai, ClearML, Guild.ai, Pachyderm Inc. (Acquired by HPE), TensorFlow User Group (TFUG), Kubeflow, MLflow, Experiment +33 more (view full list) |
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The Weights & Biases annual revenue was $37.8 million in 2026.
Mike Saparov is the Senior Vice President of Technology of Weights & Biases.
11 people are employed at Weights & Biases.
Weights & Biases is based in San Francisco, California.