Surface context to AI-agents, automatically

Euno surfaces metadata-powered context to AI agents through MCP, ensuring every answer is accurate, relevant, and built on a trusted foundation.
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Give agents these three layers of context and unlock AI at scale.

1
Know what matches
AI agents are often limited to what’s included in the governed set of curated semantics, but much of the business logic lives and continues to evolve, outside of it, deep in BI workbooks.
Semantic search and lineage insights
Euno extends AI access to business definitions wherever they live, surfacing their logic based on lineage and SQL analysis, so AI agents can generate accurate queries
2
Know what’s trusted
AI can’t tell the difference between reliable data assets and ad-hoc exploratory ones. It needs a way to tell which data assets meet organizational standards.
Active metadata tags
Define governance rules, and let Euno automatically check which data assets meet them. Now, AI agents can tell what’s trusted and what isn’t.
3
Know what’s valuable
AI treats every data asset equally. It doesn’t take into account what’s being used and by whom.
Usage insights
Euno captures how data and definitions are used across teams. This context helps AI agents focus on the assets that matter most to the business.

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