Your program already has the policy, the glossary, and a steward network. MetaKarta compiles governed definitions into the systems that compute the numbers, keeps catalog coverage tied to the live estate, and answers any audit question with a query.
Governed definitions compiled into BI tools and warehouses
Version history and attribution on every definition change
Catalog coverage harvested from the live estate
Business vocabulary reconciled against what BI computes
The glossary says what revenue means. The Power BI measure computes something else, and you find out when someone escalates a number.
Catalog population depends on steward attendance, so coverage stalls and descriptions go stale. Stewardship is volunteer work, and every departure resets progress.
Then the audit arrives, and the history of a definition gets rebuilt from tickets, spreadsheets, and memory, the same as last cycle.
MetaKarta compiles governed definitions into the native artifacts of the systems that consume them: Power BI, Tableau, Snowflake Semantic Views, and Databricks Metric Views. The definition the steward approved is the definition the dashboard runs.
400+ native connectors harvest metadata directly from the estate, and parser-based lineage connects each asset from source to report. Stewards spend their time on the calls only they can make: ownership, meaning, and approval.
The full metadata estate sits under version and configuration management. The audit answer is a query: what a metric meant on any date, who changed it, and why.
Each definition carries its owner, its version history, and the systems it compiles into.
Harvesting keeps the catalog tied to what exists, so coverage stops tracking steward attendance.
MetaKarta MCP serves approved definitions to agents with per-user access tokens, and every response returns the metadata evidence that produced it.
MetaKarta establishes the shared metadata foundation organizations have been trying to patch together for years: trusted BI, reliable AI, and defensible governance, compiled into every architecture, every cloud, and every tool. No runtime dependency. No vendor lock-in. No greenfield start required.
The program matured past what a documentation tool can carry. The purchase was right for a program whose job was to describe policy; the job changed when AI and auditors started asking for enforcement evidence.
Ontology Modeling live-links each vocabulary term to the metric that implements it and reconciles the ontology against what BI actually implements. A divergence shows up as a mismatch you can review before someone escalates a number.
Stewards move up a level. Harvesting and lineage keep coverage current, and stewards set guardrails, define what good looks like, and review exceptions.
SOX, BCBS 239, CSRD, ISSB, and AI audit mandates. Every definition has an owner, a version history, and a record of where it flowed.
Yes. Governed definitions compile into native artifacts inside your BI tools and warehouse, and security policies compile into each target's native controls. The compiled artifact is the proof.
MetaKarta MCP uses per-user access tokens, so an agent sees exactly what the person behind it is authorized to see. Every response returns the metadata evidence that produced it.
Nearly 30 years of metadata engineering. MetaKarta's technology runs inside the products of Microsoft Purview, Informatica from Salesforce, IBM, Oracle, and Qlik Talend.
