Weights and Biases was acquired by CoreWeave — this page is preserved as an archive. Visit fobi.com for current frontier-tech coverage.
Weights and Biases was an Observability and AI Monitoring company founded in 2017 and based in San Francisco, United States. It was acquired by CoreWeave in 2025 for $1.7B.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Aug 9, 2023 | Growth | $50M | $1.3B | Nat Friedman, Daniel Gross |
| Oct 13, 2021 | Series C | $135M | $1B | Felicis Ventures, BOND |
| Feb 1, 2021 | Series B | $45M | — | Insight Partners |
| May 31, 2018 | Series A | $5M | — | Trinity Ventures, Bloomberg Beta |
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W&B Models is the core ML experiment tracking and model management platform used by foundation model builders and enterprises. It provides experiment tracking, hyperparameter sweeps, model registry for versioning and reproducibility, automated reporting, and collaborative dashboards. Teams use it to train, fine-tune, and deploy models into production while maintaining a complete system of record for every training run.
W&B Weave is an LLMOps toolset for software developers building LLM-powered applications. It provides tracing for prompt chains and agent workflows, output evaluation, cost estimation per call, and a hosted inference playground for comparing different large language models and settings. Developers use it to debug, monitor, and improve their GenAI applications in real time.
W&B Inference provides access to a curated catalog of foundation models served through a hosted API. It supports models from Meta (Llama), Qwen, and others, enabling teams to quickly experiment with and deploy large language models without managing their own infrastructure. Users can compare model outputs, evaluate performance, and integrate inference directly into their application pipelines.
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