Weights and Biases raises $135m to build a developer-first MLOps platform
Since we wrote the first line of code in a small office next to a karate studio, our mission has been to build great tools for ML practitioners. In the process we’ve created a new kind of MLOps platform that the developers, data scientists, and ML engineers who build models love to use. Our work is far from done, but I’m proud and grateful to the W&B team for how much great stuff we’ve built together and how deeply we’ve collaborated with our customers.
Which brings me to the news I’m excited to announce: we’ve raised a series C that values Weights and Biases at $1 Billion. Our existing investors Insight and Coatue co-led the round with Felicis and BOND. We’re also excited to add a new board observer, Jay Simons, GP at BOND and former president of Atlassian.
This fundraise gives us the chance to really think long term and invest heavily in the quality and scope of our product. As ML teams and their applications grow, we have an increasingly important role in helping our customers build and deploy high quality models safely and reliably. I’m looking forward to using our new funding to build more scalable, robust tools that evolve alongside your ML workflows. If you build something exciting using W&B, our community would love to hear about it!
Every day I’m thrilled by the new applications of ML our customers are building: from composing new music to creating new medicine, helping farmers control pesticides, reducing energy use in buildings, sophisticated financial modeling, and helping fight climate change. It’s been great to hear their feedback as we continue to make W&B the best tool for ML practitioners.
And last but certainly not least: thank you to our users and our community for helping us get here. None of this would have been possible without you.
If you’re interested in joining us, trying our tools, or have any feedback on our tools, we would love to talk to you. A couple places you can get started: