Herus is a modern data catalog designed to help teams organize, discover, understand and govern their data faster.
The platform integrates with your data stack to import metadata, semantic definitions, lineage, usage insights and data processing code. It can also push field descriptions back to databases as native SQL comments.
Users can explore data through an intuitive interface, advanced SQL-like filters or AI-powered search. They can navigate table and field lineage end-to-end, trace data back to its sources, and understand how it flows into downstream dashboards and analytics.
Herus uses AI to reduce manual documentation work by suggesting business definitions, inferring lineage and enabling natural language interactions within the catalog. All AI-generated suggestions remain fully reviewable before validation, keeping teams in control.
The platform also improves collaboration between technical and business teams through dedicated workflows adapted to each role.
Beyond cataloging existing assets, Herus includes a collaborative data board where analysts and engineers can visually design transformations, model joins and unions, and organize workflows before development begins. Based on these designs, AI can automatically generate complete written specifications, reducing duplicated work across documentation tools and wikis.
By connecting design, documentation and governance in a single workspace, Herus positions the data catalog as an operational platform used throughout data projects, rather than as a documentation repository used only after implementation.
