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How Much Did Weights & Biases Raise? Headquarters, Funding & Key Investors

Weights & Biases, a San Francisco-based MLOps platform founded in 2017, has raised $250 million across multiple funding rounds, reaching a $1.25 billion valuation as of August 2023. Backed by major investors such as Sapphire Ventures, Bond Capital, Coatue, and Insight Partners, the company empowers machine learning teams with visualization, tracking, and collaboration tools. Its most recent Series C round of $50 million led by Daniel Gross and Nat Friedman fuels the expansion of its ML experiment management and LLM-focused tools like W&B Prompts.

    Weights & Biases provides machine learning model development and management solutions designed to help teams visualize, compare, and optimize ML experiments efficiently. Founded in 2017 by Chris Van Pelt, Lukas Biewald, and Shawn Lewis, and headquartered in San Francisco, California, the company offers a subscription-based MLOps platform trusted by AI teams globally. With a workforce of around 150 employees, Weights & Biases has become a go-to infrastructure tool for enterprises and researchers aiming to streamline machine learning workflows.

    What Is Weights & Biases and What Does It Do?

    Founded in 2017 by Chris Van Pelt, Lukas Biewald, and Shawn Lewis, Weights & Biases is a developer-first MLOps company based in San Francisco, United States. With a team of 150 employees, it provides comprehensive solutions for ML experiment tracking, system metrics monitoring, dataset versioning, and performance visualization. 

    The platform enables AI teams to transition deep learning projects from research to deployment efficiently while improving collaboration and reproducibility across projects.

    How Much Funding Has Weights & Biases Raised?

    1. Series A
    • Amount Raised: $5M
    • Date: May 2018
    • Lead Investors: Trinity Ventures
    • Motivation: To build the initial version of the MLOps platform and attract early adopters.
    1. Series B
    • Amount Raised: $15M
    • Date: May 2019
    • Lead Investors: Coatue
    • Motivation: To scale the platform and grow the team to meet rising demand.
    1. Series B (2nd)
    • Amount Raised: $45M
    • Date: February 2021
    • Lead Investors: Insight Partners
    • Motivation: To enhance features and support complex ML workflows.
    1. Series C
    • Amount Raised: $135M
    • Date: October 2021
    • Lead Investors: Bond, Felicis
    • Motivation: To accelerate development and expand market presence.
    1. Venture Round
    • Amount Raised: $50M
    • Date: August 2023
    • Lead Investors: Daniel Gross, Nat Friedman
    • Motivation: To expand MLOps tools and support large language model (LLM) growth.

    Total Funding Raised: $250 Million

    Current Valuation: $1.25 Billion (as of August 2023)

    Latest Funding Date: August 2023

    Key Investors

    1. Daniel Gross
    • Details: Prominent AI-focused investor and entrepreneur known for advancing ML innovation.
    • Investment Focus Areas: AI, machine learning, and emerging tech startups.
    • Notable Investments: Various AI and tech startups.
    1. Nat Friedman
    • Details: Former CEO of GitHub and active angel investor in AI and open-source software.
    • Investment Focus Areas: Technology startups, open-source, and AI tools.
    • Notable Investments: GitHub, multiple open-source projects.
    1. Sapphire Ventures
    • Details: Growth-stage VC investing in technology companies worldwide.
    • Investment Focus Areas: Enterprise software, cloud infrastructure, AI.
    • Notable Investments: Square, LinkedIn, Box.
    1. Coatue
    • Details: Global investment firm focused on tech, media, and telecom sectors.
    • Investment Focus Areas: Technology, media, and telecommunications.
    • Notable Investments: Snap, DoorDash, ByteDance.
    1. Insight Partners
    • Details: Global VC and private equity firm investing in growth-stage software companies.
    • Investment Focus Areas: Technology, software, AI infrastructure.
    • Notable Investments: Twitter, Shopify, DocuSign.

    Where Is Weights & Biases’ Headquarters?

    Weights & Biases is headquartered in San Francisco, California, a hub for AI innovation and deep learning research. This strategic location offers access to leading tech talent, major investors, and enterprise clients, positioning the company advantageously within the global AI and ML ecosystem.

    What’s Next for Weights & Biases?

    Weights & Biases is entering a growth phase focused on expanding MLOps capabilities for large language models (LLMs) and deep learning frameworks. With products like W&B Prompts and partnerships with NVIDIA and Microsoft, the company aims to cement its position as a core tool in AI infrastructure. As more enterprises scale AI initiatives, Weights & Biases is poised to play a central role in enabling reproducible, efficient, and collaborative machine learning workflows.

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