Veteran AI Experts Launch Weights & Biases to Offer State of the Art Developer Tools for Machine Learning

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Weights & Biases (W&B) launched with the first enterprise AI platform to help teams visualize and debug machine learning models.

W&B received $5 million in a Series A investment round co-led by Trinity Ventures and Bloomberg Beta. The company was founded by AI experts and former Figure Eight (previously CrowdFlower) co-founders Lukas Biewald and Chris Van Pelt, as well as former Google engineering leader and yCombinator alum Shawn Lewis. Biewald will join the company’s board of directors, along with Trinity Ventures general partner Daniel Scholnick. Scholnick also sits on the boards of Docker and New Relic, two highly valued companies serving the developer ecosystem.

We have worked extensively with companies to turn machine learning research projects into scalable, real-world deployments,” says Lukas Biewald. “We’ve watched hundreds of teams struggle to deploy machine learning models successfully, and the same problems show up repeatedly. Machine learning has created a fundamentally new kind of programming, requiring a fundamentally new set of developer tools. We created Weights & Biases to provide that missing toolkit.”

The W&B platform creates a standardized way for teams to track machine learning model development, understand their models’ performance, and develop in a collaborative environment. As companies deploy machine learning models in increasingly mission-critical domains like medicine and autonomous vehicles, mistakes become riskier, and best-in-class software development practices become essential.

Artificial Intelligence has so much potential, but few companies are implementing it yet because the development process is too complicated for all but a small number of highly trained engineers. W&B aims to dramatically streamline the machine learning software development process so that AI benefits can be unlocked across industries and no longer restricted to the few firms able to hire extremely skilled and extraordinarily expensive AI developers today,” says Trinity Ventures general partner Daniel Scholnick. “W&B’s all-star team of machine learning visionaries is uniquely suited to transition AI from research projects to standard business practices within the enterprise.”


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