Start with a metric that means three different things in three different tools. We’ll trace it back to its source at the column level, show you the definition and the owner attached to it, and compile and deploy the metric and meaning into target database, BI, and AI systems.
What you'll see:
Column-level lineage computed from your code
Parsed from the actual SQL, ETL, and BI logic, which makes it complete by construction and auditable after the fact.
Know the blast radius before the first ticket lands
Impact analysis on a schema change, across systems, in seconds.
One definition, compiled into every consumer
Governed business logic written into the native formats of your data platforms and BI tools, so nothing has to sit in the query path.
Compiled context for AI agents
The same definitions grounding databases and BI tools access via MCP for AI agents, with the metadata evidence behind every answer.
Your estate, checked live
400+ connectors across legacy, cloud, and hybrid. We'll confirm coverage for your specific systems on the call.
Request your demo
Nearly 30 years of OEM metadata infrastructure runs inside platforms your enterprise already uses, including Microsoft Purview, Informatica from Salesforce, IBM, Oracle, and Qlik Talend. 400+ connectors, legacy to modern and on-premises to cloud.
