Collaboration for
machine learning projects

We are the company behind development of DVC and CML,
open-source tools to streamline the workflow of data scientists.

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Data provenance and Machine Learning model management


Maintain a code repository with data files, ML model files, and model metrics. DVC, an open data repository format is in use.


Pipeline and workflow visualization. Collaborate on ML experiments. Navigate through experiments by model metrics.

Knowledge library

Keep track of ML experiments to share knowledge about successful ideas as well as failed ones.

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Work concurrently

Data scientists, ML engineers, DevOps Your team can work at the same time instead of waiting for handoffs because teams are backlogged.

High-performance hardware

Provision high performance hardware (CPU, GPU, and memory) for quickly retraining ML models.


Automate ML model deployment and rollback processes.

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