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Weights & Biases is an MLOps platform for experiment tracking, model evaluation, dataset versioning, and hyperparameter tuning used by AI teams including OpenAI, Meta, and top foundation model builders.
Pricing
$0-60+ / month
Founded
2017
Team size
201-500 employees
Headquarters
San Francisco, California
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Weights & Biases (W&B) provides a comprehensive MLOps platform that enables ML teams to track experiments, version datasets, evaluate model performance, and collaborate on AI projects. The platform is used by 30 foundation model builders including OpenAI, Meta, and Cohere.
The experiment tracking system logs metrics, hyperparameters, code, and artifacts for every training run, enabling reproducibility and comparison across experiments. W&B Sweeps automate hyperparameter optimization, while Reports provide collaborative analysis and visualization tools.
Acquired by CoreWeave in March 2025, W&B continues to serve over 100,000 customers ranging from individual researchers to Fortune 500 AI teams. The platform's focus on the ML experiment lifecycle makes it a critical tool for anyone building and improving AI models.
Cubbie connects straight to the Weights & Biases admin API, so your seats, usage, and plan stay current without anyone updating a spreadsheet. That is what turns renewals and unused licenses into something you can act on.
Connecting takes about a minute. Paste a read-only key from your Weights & Biases admin settings. Cubbie never writes to your account.
Structured facts from the vendor to help your security, finance, and procurement reviews move faster.
Trust
SLA uptime target: Not specified
Security review turnaround: Not specified
DPA available: Not specified
Pricing
Pricing model: Tiered plans
Free trial: Yes
Free plan: Yes
Contract minimum: Not specified
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