Learn faster than your ML Models

Focus on machine learning experiments and not on managing it


1. Store and Manage Model Information

Upload the model information like features, model parameters and evaluation metrics. Use the web portal to view and manage it

2.Code Persistence

Look at the code that was used to input data, build and evaluate the model

3. Data Versioning (Beta)

Keep track of the data used for building the model and also get an overview of it

4. Compare Models

Compare different models side by side

5. Evaluate the Evaluations

Visually compare the evaluation metrics of your different models

6. Social Modeling

Add team members to your projects. View models built by your team and have discussions on them

Why ModelChimp?


Keep track of all AI systems built.


Enable collaboration on your AI Systems.


Speed up the AI development process.

Platform Supported

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