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mlop

Experiment tracking for training ML models

Y CombinatorSpring 2025ActiveB2BAIOpsDeveloper ToolsMachine LearningSaaS

What they do

Problem

ML teams need a cost-effective way to track, visualize, and manage machine learning experiment metrics and artifacts during model training.

Solution

An open-source, high-performance experiment tracking platform that serves as an alternative to Weights & Biases.

Who it's for

Machine learning engineers, data scientists, and ML teams building and training models.

Founders

Stephen Sun
Founder

Building high quality tools for ML engineers

Company timeline

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