Meta Integration Technology, Inc. (MITI), based in Mountain View, California, United States, announced on Sept. 22, 2026, the general availability of MetaKarta v12, a metadata management platform for artificial intelligence (AI), business intelligence (BI), and databases.
The release adds Semantic Hub, which compiles governed business definitions into the databases, BI tools, and AI agents that depend on them. A definition authored once in MetaKarta lands as a native artifact inside Snowflake, Databricks, Power BI, and Tableau, and reaches AI agents as compiled context drawn from the same repository. As a result, a finance dashboard and an AI agent answering the same question return the same number.
MetaKarta v12 is built to produce three outcomes from one system: trusted BI, reliable AI, and defensible governance.
What MetaKarta v12 includes#
MITI has built original equipment manufacturer (OEM) metadata infrastructure for nearly 30 years, and its technology is used in products from Microsoft Purview, Informatica from Salesforce, IBM, Oracle, and Qlik Talend. MetaKarta v12 applies that metadata engineering to enterprises directly, with 400+ native connectors and parser-based, column-level lineage computed from actual code.
In v12, organizations own the semantic artifacts compiled and deployed in their own databases and BI tools. Definitions stay portable through a migration, for example from SAP BusinessObjects to Power BI, or Oracle to Snowflake or Databricks. The compiled definitions are already in place before any query runs, so no MetaKarta proprietary execution engine sits in the query path. Those same definitions are delivered as compiled context to AI agents.
The platform expansion includes:
- Semantic Hub
- Platform-wide AI
- A fully redesigned user experience
MetadataOps shift#
MetaKarta v12 also reflects a shift MITI calls MetadataOps: metadata management moving from periodic projects to a continuous enterprise operation. As data, applications, definitions, and AI systems change, the metadata connecting them has to change with them. MetaKarta provides the shared foundation for keeping that work continuous across data lineage, data catalog, data governance, and semantics.
Executive comment#
“For most of our history we built OEM components, and that worked while the problem lived inside one platform,” said Christian Bremeau, Founder and CEO of Meta Integration Technology. “AI moved it. Most enterprises now point agents at metadata fragmented across a lineage tool, a catalog, a governance tool, and multiple semantic layers, so the agent picks whichever definition sits nearest the data and acts on it at machine speed, with no analyst catching the discrepancy.”
“That’s why we think metadata management now has to operate as MetadataOps, a continuous discipline rather than a series of disconnected projects,” Bremeau continued. “We built v12 so the business meaning underneath an agent is trustworthy before it ever acts. Definitions have to be portable, vendor-neutral, and owned by the enterprise that depends on them. When reports, dashboards, and AI agents all start from unified metadata, people and agents get the same answer wherever the question comes from.”
Availability#
MetaKarta v12 is generally available as of Sept. 22, 2026. Full details are available at www.metakarta.com.
The MetadataOps Kit is available at www.metakarta.com/resources/metadataops, covering the practice, operating lifecycle, metadata quality scoring model, a paste-ready job description and skills matrix for the MetadataOps Engineer role, and more.
Company background#
Meta Integration Technology, Inc. (MITI) has worked in metadata integration, semantic modeling, and data lineage for nearly 30 years, serving global enterprises and technology providers. MITI’s technology is embedded in products from Oracle, Microsoft Purview, Informatica from Salesforce, IBM, and Qlik Talend, and it powers MetaKarta, MITI’s enterprise platform for metadata-driven data management. MetaKarta delivers data lineage, data catalog, data governance, and semantic compilation through a single integrated system, connecting the full enterprise data estate across 400+ native connectors, from legacy to modern and on-premises to cloud.
