Git for Biology

Modern biology generates staggering amounts of data — genomics, proteomics, microscopy images, single-cell assays — but the infrastructure for managing it hasn't kept pace. Most biotech R&D teams still wrangle data across scattered file systems, spreadsheets, and ad hoc scripts. Lamin Labs is building the data layer that biology has been missing.

Founded in 2022 by Alex Wolf and Sunny Sun, with offices in Munich and New York, Lamin Labs provides an open-source framework that structures biological data as version-controlled "bio-objects." Think of it as Git meets a biological data warehouse — every dataset is tracked, versioned, and queryable, making collaboration and reproducibility dramatically easier.

What They're Building

The platform handles everything from microscopy images to multi-omics datasets, structuring them for machine learning at scale. R&D teams can track data lineage, collaborate across sites, and build ML pipelines on top of properly organized biological data. It's the kind of invisible infrastructure that unlocks everything else.

Why It Matters

The $3.2 million seed round, led by Cherry Ventures with participation from Frontline and F-Prime, validates the growing recognition that biology's data problem is just as important as its discovery problem. As a Y Combinator W22 graduate, Lamin Labs is well-positioned to become the default data backbone for computational biology teams worldwide.