What it sells
Open data platform for traceable, multimodal AI
Business model breakdown
Buyer: who owns the budget?
UnverifiedComputational biology / data science leads in biotech and pharma, and academic labs (inferred).
Trigger: what makes them buy now?
Need to trace and govern heterogeneous wet-lab and ML data to close the feedback loop between experiments and models.
Workflow: what inputs become what output?
pip install LaminDB, track lineage of agent sessions, notebooks and workflows, register datasets in any format, validate and annotate, query with Polars/DuckDB.
Economics: what it saves and how it charges
Open-core: free open-source and free tier, paid Pro and enterprise plans; free/reduced pricing for academia.
Distribution: how it reaches customers
Open source (PyPI, CRAN, GitHub) with self-serve signup and free trial; enterprise contact; Munich and NYC.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2022 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.