mlop
mlop is a YC Spring 2025 (P25) company. Based in San Francisco, CA, USA. Team of 2.
About mlop
Summary
mlop builds an open-source MLOps platform that tracks and optimizes machine learning experiments, targeting ML engineers and data science teams. It covers experiment logging, parameter and gradient tracking, model versioning, git status, and real-time performance alerts, replacing proprietary tools like Weights & Biases. The API is fully compatible with Weights & Biases, so teams can migrate without rewriting instrumentation code.
Business model
A free open-source tier with enterprise features available on paid plans
Go-to-market
ML engineers and data science teams adopt it self-serve via a free tier and GitHub, with enterprise features available for larger organizations.
From the Y Combinator listing
Experiment tracking for training ML models
A fully open-source, performant and actionable Weights & Biases alternative that saves you money. Check out our story here! https://www.reddit.com/r/mlopai/comments/1kkc9jp/mlopai_an_efficient_free_and_opensource/
Facts
- B2B / B2B
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (1)
- Stephen Sun
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