Weights & Biases, founded in 2017, is a platform for machine learning operations (MLOps) that enables data scientists to create and deploy machine learning models. The platform is integrated into over 20,000 open-source repositories and is used by high-profile AI model builders like OpenAI, Aleph Alpha, Cohere, Anthropic, and Hugging Face. The company currently has 700,000 users, up from 100,000 in 2021, and over 1,000 paying customers.
Key takeaways:
- Weights & Biases, an AI and machine learning development platform, has secured a $50 million investment in a strategic round that values the company at $1.25 billion. The investors include ex-GitHub CEO Nat Friedman, former Y Combinator partner Daniel Gross, and existing investors Coatue, Insight Partners, Felicis, Bond, BloombergBeta and Sapphire.
- The company is preparing to launch Prompts, a new product designed to help users monitor and evaluate the performance of large language models (LLMs) similar to OpenAI’s GPT-4.
- Weights & Biases was co-founded by Lukas Biewald and Chris Van Pelt in 2017, and it operates in the MLOps (machine learning operations) segment, which is estimated to be worth $23.1 billion by 2023.
- The platform's solution is integrated in over 20,000 open source repositories and has been cited in hundreds of machine learning academic research papers. It is also the toolset of choice for high-profile AI model builders, including OpenAI, Aleph Alpha, Cohere, Anthropic and Hugging Face.