Herus
AI-powered data catalog for collaborative data governance.
The founders
The company
Paris-based Herus is building an AI-powered data catalog and metadata platform where data and business teams can jointly discover, document and model their data estate. Its AI auto-generates data lineage, suggests business definitions and proposes data-quality test cases, while two-way sync pushes catalog descriptions back into source databases as native comments.
As data estates sprawl across warehouses like Snowflake and BigQuery, manual documentation can't keep up — and governance is increasingly a precondition for trustworthy analytics and AI. Herus bets that AI should do the grunt work of lineage and definitions rather than yet another team.
Founded in 2026 by Giorgi Bakhia, Herus sets out to fix the gap between technical and business teams who rarely share a single, understandable view of their data.
The company is early and pre-funding, so the thesis rests on execution: a focused founding effort shipping 41+ native connectors and a collaborative design canvas suggests real engineering intent rather than slideware.
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