Weights & Biases

Weights & Biases is an Experiment Tracking platform that is transforming how teams build and collaborate on Machine Learning (ML) models and operations (MLOps).

Weights and Biases's mission is to build tools for Machine Learning practitioners.

Weights and Biases (W&B) was founded in 2018 by Lukas Biewald, Shawn Lewis, and Chris Van Pelt. The company is headquartered in San Francisco, California.


W&B began as an experiment tracking solution and quickly expanded to other areas of the machine learning pipeline, including dataset versioning, model evaluation, data visualization, collaborative model training, reproducibility and pipeline management.


Weights & Biases (W&B) provides a best-in-class developer-first MLOps platform to more than 100,000 machine learning engineers and data scientists across the globe.


W&B is trusted by cutting-edge research organizations including OpenAI and Toyota Research Institute as well as category-leading companies like NVIDIA, Facebook Research, Graphcore, Pandora, and hundreds more who are on the forefront of commercializing the application of machine learning (ML).


W&B is backed by Insight Partners, Coatue, Felicis Ventures, BOND, Trinity Ventures, Bloomberg Beta, and others. The company raised $135M in Series C round on Oct 13, 2021. This brings W&B's total funding to $200M to date. The latest round mints W&B a unicorn with a valuation of $1B post-money.



  • Year founded: 2018
  • Funding Info: $200M over 4 Rounds (Latest Funding Type: Series C)
  • Yearly Revenue: NA
  • Employee Size: 51-200
  • Business Valuation: Valued at $1B as of Oct 13, 2021
  • City/Town: San Francisco
  • State: California
  • Country: United States
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