A source of truth for your semantics

You already have a semantic layer – but it’s distributed across dbt, BI tools, and legacy warehouse logic. 
Euno surfaces usage and trust signals, helping teams and AI find reliable metrics to enrich the semantic layer and generate trusted queries.
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Define what's trusted

Define your quality standards in Euno, and apply active metadata tags to certify compliant metrics. Now, teams instantly see which definitions are safe to use.

Make metrics discoverable

Turn your distributed metrics into a searchable catalog, so teams can find and reuse existing definitions instead of building from scratch.
Screen showing dbt_metric search results for revenue, highlighting revenue_after_discount metric in Sales with 224 uses in 30 days and related explores including dim_payments.

Surface conflicts

Multiple “New business” metrics? Different definitions for the same KPI? Euno helps you find conflicts and their usage. Connect with their owners to resolve inconsistencies fast.
Table showing conflict analysis for new business measures with user names and impressions counts, highlighting Hana Hartman with 4,590 impressions by 99 users.

Connect AI agents with deep context

Euno’s MCP server ensures AI agents access reliable  metrics first, with usage and trust signals to guide their responses.

Stop the metrics chaos

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