# MLflow

**Source:** https://www.startuphub.ai/startups/mlflow
**Profile type:** Startup

> Open-source platform for managing the ML lifecycle, from experimentation to deployment.

## About

MLflow is an open-source AI engineering platform that helps users master the machine learning lifecycle and build high-quality AI products faster. It offers tools for managing model training, experiment tracking, and deployment, as well as for debugging, evaluating, monitoring, and optimizing LLM applications and agents. MLflow serves developers and organizations looking to streamline their AI development and production processes.

## Key facts

- **Slug:** mlflow
- **Website:** https://mlflow.org/
- **Location:** Seattle, United States
- **Founded:** 2018
- **Employees:** 41
- **Operating status:** Active
- **Sectors / tags:** MLOps, AI Platforms, DataOps, Developer Tools, API Platform, Data Platform, Workflow Automation, Open Source, Infrastructure as Code, MLOps Platform
- **Social:**
  - LinkedIn: https://www.linkedin.com/company/mlflow-org
  - Twitter: https://x.com/mlflow
  - GitHub: https://github.com/mlflow

## Frequently asked

### What does MLflow do?

MLflow is an open-source AI engineering platform that helps users master the machine learning lifecycle and build high-quality AI products faster. It offers tools for managing model training, experiment tracking, and deployment, as well as for debugging, evaluating, monitoring, and optimizing LLM applications and agents. MLflow serves developers and organizations looking to streamline their AI development and production processes.

### Where is MLflow headquartered?

MLflow is headquartered in Seattle, United States.

### When was MLflow founded?

MLflow was founded in 2018.

### What industry does MLflow operate in?

MLflow operates in MLOps, AI Platforms, DataOps, Developer Tools, API Platform, Data Platform.

### How many employees does MLflow have?

MLflow has approximately 41 people on record.

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