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§ Private Profile · San Francisco, CA, USA
Weights & Biases is a technology company.
Weights & Biases offers an AI developer platform, a comprehensive system for machine learning workflows. It enables practitioners to track, visualize, and manage experiments, optimize hyperparameters, and debug models. The platform provides robust tools for training, evaluation, and inference, supporting advanced AI applications, including large language model fine-tuning.
Founded in 2017 by Lukas Biewald, Chris Van Pelt, and Shawn Lewis, Weights & Biases arose from their deep machine learning experience. Their prior venture, Figure Eight, highlighted a critical need for better tooling to manage complex, iterative AI development. This insight inspired them to build a dedicated platform streamlining MLOps.
Machine learning engineers and AI researchers across diverse sectors utilize the platform for training and deploying models. Weights & Biases aims to empower AI developers with essential tools to build, iterate, and understand their models effectively. The company envisions fostering efficient, transparent AI development, accelerating innovation.
Weights & Biases has raised $305.0M across 6 funding rounds.
Weights & Biases has raised $305.0M in total across 6 funding rounds.
Weights & Biases has raised $305.0M across 6 funding rounds. Most recently, it raised $50.0M Other Equity in August 2023.
Weights & Biases (W&B) is a technology company that builds advanced tools for AI and machine learning (ML) developers, focusing on experiment tracking, model management, and operational workflows for AI systems. Its platform serves cutting-edge ML teams at organizations like OpenAI, NVIDIA, and Cohere, helping them build, track, and manage AI models and applications with greater efficiency and reproducibility[1][2].
Founded in 2017 by Lukas Biewald, Chris Van Pelt, and Shawn Lewis—who previously built Figure Eight—Weights & Biases emerged from the founders’ recognition that existing tools for machine learning practitioners were inadequate, especially for tracking and reproducing models. The company started in a small San Francisco space and has since evolved into a key player in the MLOps and LLMOps space, recently acquired by CoreWeave in 2025 while maintaining its mission to build the best tools for generative AI[1][2].
Weights & Biases rides the accelerating trend of AI and machine learning adoption across industries, especially as models grow larger and more computationally intensive. The shift from local to cloud and remote GPU compute environments makes W&B’s tools essential for managing complexity, ensuring reproducibility, and operationalizing AI at scale. Its platform bridges the gap between ML practitioners and MLOps teams, fostering collaboration and accelerating AI innovation[3].
Going forward, Weights & Biases is positioned to deepen its impact as generative AI and large language models become ubiquitous. Its focus on simplifying model experimentation, deployment, and governance aligns with growing enterprise demands for trustworthy, scalable AI. The company’s integration with CoreWeave’s infrastructure could further enhance its offerings in compute management and real-time AI operations. Trends like AI observability, compliance, and automated tuning will likely shape W&B’s roadmap, reinforcing its role as a foundational platform in the AI development ecosystem[1][3].
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This overview highlights Weights & Biases as a mission-driven company delivering critical infrastructure for AI teams, with a strong founding story, unique product capabilities, and a strategic position in the evolving AI landscape.
Weights & Biases has raised $305.0M in total across 6 funding rounds.
Weights & Biases's investors include Daniel Gross, Nat Friedman, Bloomberg Beta, BOND, Coatue, Felicis Ventures, Insight Partners, Sapphire Ventures, Awesome Ventures, Aya, B Capital Group, Bond.