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lakeFS is the control plane for AI-ready data, bridging the infrastructure gap that slows down enterprise AI initiatives.

Built on a highly scalable data version control architecture, lakeFS ensures data quality, makes AI training and agent runs reproducible, and reduces data access friction for tools, users, and AI agents, without replacing your existing infrastructure.

lakeFS sits between your data storage and everything that consumes it: pipelines, models, and agents. It handles unstructured, structured, and metadata across back-end source systems through a single interface, with zero data copying or duplication.

Trusted by AI/MLOps teams, data engineers, and data scientists at thousands of organizations including Arm, Bosch, Lockheed Martin, NASA, Volvo, and the U.S. Department of Energy.


Visit the lakeFS homepage at https://lakefs.io/ and its GitHub repo at https://github.com/treeverse/lakeFS