
mlop
Experiment tracking for training ML models
About
A fully open-source, performant and actionable ML model training platform
Topics
- Location
- London, United Kingdom
- Team size
- 2 employees
- YC batch
- Spring 2025
- Status
- Active
- Stage
- Early stage

Experiment tracking for training ML models
A fully open-source, performant and actionable ML model training platform

What they do:
Understand why your AI agent breaks. Iterate fast to fix it.
Quick facts:
HQ: London, United Kingdom

What they do:
Self-driving observability, evals, and gateway for AI agents
Quick facts:
HQ: San Francisco, CA, United States

What they do:
Call every LLM API like it's OpenAI [100+ LLMs]
Quick facts:
HQ: San Francisco, CA, United States

What they do:
The fastest way to ship airtight AI
Quick facts:
HQ: San Francisco, CA, United States

What they do:
AI agents you can rely on
Quick facts:
HQ: San Francisco, CA, United States

What they do:
Making AI run fast on any hardware.
Quick facts:
HQ: San Francisco, CA, United States
Experiment tracking for training ML models
London, United Kingdom
2 employees, according to the company profile.
There are no funding rounds for mlop in our data.
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