Weights & Biases (W&B), an integrated MLOps platform, has secured USD 50 million in a strategic investment round led by Daniel Gross and Nat Friedman. The round also saw participation from Sapphire Ventures, Coatue, Insight Partners, and other investors. This brings the total funds raised by the company to USD 250 million, valuing the company at USD 1.25 billion.

The company intends to utilize the newly acquired funds to further develop its ML tools, including the launch of W&B Prompts.

W&B Prompts assists developers of large language models (LLMs) in understanding, monitoring, and evaluating each aspect of their projects more effectively. It allows developers to fine-tune, prompt engineer, and debug the programs, resulting in faster time-to-production of LLMs and the applications they power.

Since its Series C funding round in 2021, the company's user base has surged to over 700,000 from a mere 100,000. It claims that key generative AI model builders, including Meta, OpenAI, and MosaicML, utilize its platform and to date, the platform has recorded 300 million hours of ML experiments from notable firms like NVIDIA, Toyota Research Institute, and Volkswagen.