About
Weights & Biases builds a comprehensive MLOps platform centered around its core product, W&B, which provides tools for experiment tracking, hyperparameter optimization, and model versioning. Their platform distinguishes itself through robust visualization capabilities, collaborative features for team-based ML development, and integrations with popular frameworks like PyTorch, TensorFlow, and Hugging Face. W&B is widely adopted by leading AI research labs and companies – including Nvidia, OpenAI, and Stability AI – to accelerate machine learning workflows and improve model performance.
Focus Areas
Technology Focus
ml infrastructure ml ops experiment tracking
Key People
L
Lukas Biewald C
Chris Van Pelt Quick Stats
Total Raised $250M
Founded 2017
Status private
Type startup
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