Weights & Biases
Experiment tracking, model registry, and evals for ML teams. Used by OpenAI, Nvidia, Lyft, and Toyota. Acquired by CoreWeave in 2025.
- Location
- San Francisco, United States
- Raised
- $250M+
- Stage
- Series C
- Founded
- 2017
- Category
- AI
- Funding
- VC-backed
- Team
- 201-500
Funding figures as of Jul 2025 · not independently verified
Founders of Weights & Biases
- Lukas Biewald
- Chris Van Pelt
- Shawn Lewis
Investors backing Weights & Biases
- Insight Partners
- Coatue
- Felicis
Frequently asked questions
What does Weights & Biases do?
Experiment tracking, model registry, and evals for ML teams. Used by OpenAI, Nvidia, Lyft, and Toyota. Acquired by CoreWeave in 2025.
Where is Weights & Biases based?
Weights & Biases is based in San Francisco, United States.
When was Weights & Biases founded?
Weights & Biases was founded in 2017.
How much has Weights & Biases raised?
Weights & Biases has raised $250M+ in their Series C round as of Jul 2025.
Who founded Weights & Biases?
Weights & Biases was founded by Lukas Biewald, Chris Van Pelt, Shawn Lewis.
Who has invested in Weights & Biases?
Weights & Biases is backed by Insight Partners, Coatue, Felicis.
How Weights & Biases would pitch themselves
○ Auto-generated01Target customer
Companies + developers adopting AI in their stack — from indie builders to enterprise ML teams working on the ai developer platform.
02Problem they solve
Experiment tracking, model registry, and evals for ML teams. Used by OpenAI, Nvidia, Lyft, and Toyota. Acquired by CoreWeave in 2025. The category has historically been served by tools that miss the modern workflow this product is built around.
03Key differentiator
Weights & Biases differentiates on the ai developer platform. Backed by Insight Partners + Coatue, $250M+ raised — the company has resources + validation to compound this thesis. Founded by Lukas Biewald + team.
04Go-to-market strategy
Growth-stage GTM — multi-channel revenue motion (direct enterprise sales, channel partnerships, marketplace listings). Vertical specialisation + verticalised AE teams targeting enterprise + mid-market.