Euno builds the context layer over a company’s data: column-level lineage, a metadata catalogue, automated labelling and conversational discovery. The explicit goal is feeding that context to AI agents rather than only to humans searching a catalogue.
That framing is what separates it from a conventional data catalogue. An agent asked to answer a question about revenue needs to know which column actually holds it and what upstream transformations shaped it, and lineage at column rather than table level is the difference between a usable answer and a plausible one.
It integrates with dbt, where a lot of enterprise modelling already lives. Pricing is not published, the value depends on metadata being reasonably complete already, and the scope is enterprise rather than small-team.
