Weights & Biases is an AI platform that provides a collaborative workspace where researchers and developers can effortlessly track, visualize, and analyze their models’ performance throughout the entire development cycle. This platform allows teams to share insights, collaborate, and make data-driven decisions together, ultimately leading to more efficient and effective AI development. Weights & Biases platform is used by over 700,000 ML practitioners including teams at OpenAI, Toyota, Microsoft, and others.
Weights & Biases has closed a $50 million funding at a $1.25 billion valuation. The new round was led by Daniel Gross and Nat Friedman, with additional participation from Sapphire Ventures and existing investors Coatue, Insight Partners, Felicis, BOND, and BloombergBeta. The fresh funding will be used to expand the company’s offerings and enhance its capabilities in aiding organizations and data scientists in effectively managing and optimizing their AI projects.
Weights & Biases, San Francisco, United States, was founded in 2017 by Chris Van Pelt, Lukas Biewald, and Shawn Lewis. “Our goal at Weights & Biases has never changed: to build the best tools for machine learning practitioners,” said CEO and Co-Founder Lukas Biewald. “We’re really excited about where the field is moving, specifically the success and adoption of foundational generative AI models. Honestly, I’m thrilled to raise an institutional round from Nat Friedman and Daniel Gross—who have both trained quite a lot of their own models—and have been significant users of Weights & Biases for quite a long time.”