Treeverse, the team behind lakeFS, just dropped a $20 million growth round led by Maor Investments, with longtime believers Dell Technologies Capital, Norwest Venture Partners, and Zeev Ventures doubling down. That brings total funding to $43 million. And this isn’t a victory lap. It’s a mid-race refuel for a team already rewriting how enterprise data gets built, versioned, and trusted at petabyte scale.
Because when you’re shipping models, running pipelines, and building on lakes that don’t version like code, you’re basically deploying with a blindfold and a prayer. Dr. Einat Orr and Oz Katz, co-founders, former tech leads at Similarweb, and the kind of deep-system thinkers you want behind your infrastructure, lived that chaos firsthand. So they built lakeFS to inject Git-style sanity into the madness. Not a metaphor. Atomic commits, branching, merging, lineage, all engineered for object stores and scaled out with Graveler, their MVCC engine that eats S3 keys for breakfast.
This isn’t “data management” in the Gartner quadrant sense. This is reproducibility as a core primitive, compliance that doesn’t slow you down, and collaboration that feels like devs and data scientists finally started speaking the same language. A language with zero-copy branching, hooks for data-quality gates, and native integrations with Spark, Trino, Kafka, Iceberg, Delta, and Databricks Unity Catalog. It’s Git for data, with the muscle to match.
It’s also SOC2 Type II and ISO 27001 certified, deployed across AWS, Azure, GCP, and trusted by names like NASA, Lockheed Martin, Arm, Bosch, Volvo, and the U.S. Department of Energy. Thousands of orgs, over 40 countries. And yes, actual rocket scientists use it. That should tell you something.
With this new round, Treeverse is going wide, doubling engineering headcount, launching a European HQ in London, rolling out lakeFS Cloud in APAC, and shipping big features like Policy-Based Merging and lakeFS Diff for massive data comparisons.
Dr. Einat Orr, Oz Katz, and Chief Business Officer Iddo Avneri aren’t chasing trends. They’re laying the version-control foundation for the $185 billion enterprise AI stack. Because in a future where every AI outcome will be audited, explainable, and reproducible, or litigated, you don’t just need a lake. You need a system.
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If software engineering peace of mind is what you crave, Vention is your zen.
