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Weights & Biases
Weights & Biases provides an AI developer platform that enables teams to build, train, evaluate, and monitor machine learning models and applications. Its products assist engineers with experiment tracking, hyperparameter optimization, model registry management, and debugging generative AI agents.
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Weights & Biases at a glance
Weights & Biases is an ai/ml company headquartered in United States. It has raised at least $185M across the 2 funding rounds on record. Its most recent funding round raised $50M in June 2023.
Weights & Biases funding rounds
At least $185M raised across the 2 rounds on record. Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| SEC Form D filing | $50M | — | |
| Series B | $135M | 12 named |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Investors
Weights & Biases competitors
A few of Weights & Biases's closest competitors — see the full list of competitors and alternatives →
MLflow is an open-source AI engineering platform designed to manage the machine learning lifecycle, including experiment tracking, model deployment, and LLMOps workflows.
ClearML is an Israeli artificial intelligence company that develops an open-source platform for managing machine learning and AI workflows, including experiment tracking, data and model management, orchestration, and deployment. It serves data scientists, ML engineers, and organizations building and operating AI systems.
MindsDB provides an AI platform and model-router that allows users and engineering teams to integrate various artificial intelligence models and delegate tasks like research, data analysis, application building, and recurring reporting. The company serves developers and business teams looking to centralize AI model access and automate operational workflows.
Alignbase provides an agent operations platform designed to equip, align, observe, and improve AI agents across teams. The platform offers tools for managing shared knowledge, governed skills, working memory, artifacts, message passing between agents, and conversation monitoring.
Neptune Labs is a company founded in 2017, headquartered in Palo Alto, California, United States. It provides a platform for machine learning experiment tracking, model registry, and MLOps.
Mlop provides an open-source MLOps platform designed for machine learning teams to track, optimize, and collaborate on experiments. The platform offers tools for real-time experiment tracking, model performance monitoring, reproducibility management, and team alerting.
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More on Weights & Biases in Xcout Intel
- 2 funding rounds with the investors in each, and who they co-invest with
- The full competitor set, tracking, exports and API access