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Recent Press Releases

June 1, 2026

Meta Integration Technology Launches Public Preview of MetaKarta Semantic Hub — Governed Business Logic, Compiled Natively Across the Enterprise Data Estate​

 

San Francisco, June 1, 2026 — MetaKarta, the enterprise metadata management platform, today announced the public preview of Semantic Hub, a compiler that builds and deploys governed business logic into the native formats of target systems and tools in the data estate.

 

Enterprise data teams share a common problem: the same metric means different things in different systems. Revenue in Salesforce doesn't match revenue in Snowflake. The Power BI definition diverges from the Tableau definition. AI outputs can't be trusted because the definitions feeding them were never governed. Teams spend cycles reconciling numbers instead of using them. The root cause is that business logic is defined once per platform, governed nowhere, and enforced by nobody.

 

Unlike runtime semantic layers that intercept queries and introduce middleware into the data path, Semantic Hub compiles governed definitions into native artifacts: Snowflake Semantic Views, Databricks Metric Views, Power BI TMDL, Tableau logical data models, LookML, and more. The definitions live in the warehouse and BI tools directly. There is no MetaKarta engine in the live query path.​

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Mar 9, 2026

Meta Integration Technology Showcases MetaKarta Semantic Hub at Gartner Data & Analytics Summit 2026​

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First Public Demonstration of “Engineer Once, Deploy Everywhere” Semantic Modeling Platform​

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Orlando, FL — March 9, 2026 — Meta Integration Technology, Inc. (MITI), a pioneer in metadata integration, data lineage, and semantic modeling, today announced its participation as a sponsor at the Gartner Data & Analytics Summit 2026, taking place March 9–11 in Orlando, Florida.

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At the event, MITI will present the first public demonstration of MetaKarta Semantic Hub, its new platform designed to unify business semantics across databases, business intelligence (BI) platforms, and emerging AI systems.

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Attendees can visit Booth #535 in the Analytics & BI Solution Village to see how organizations can define business meaning once and deploy it consistently across their analytics and AI environments.

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Dec 17, 2025

Meta Integration Technology Launches MetaKarta Semantic Hub, Introducing a “Write Once, Compile Anywhere”

 

Standard for Enterprise Semantics​New Semantic Compiler modernizes BI, accelerates AI readiness, and eliminates metric sprawl across databases, analytics platforms, and AI agents​

 

Mountain View, Calif. — Dec 17, 2025 — Meta Integration Technology, Inc. (MITI), a long-time leader in metadata integration, data lineage, and semantic modeling, today announced the availability of MetaKarta Semantic Hub, a new enterprise platform designed to standardize, govern, and deploy business meaning across databases, business intelligence (BI) tools, spreadsheets, embedded applications, and AI systems.​

 

MetaKarta Semantic Hub introduces a new approach to enterprise semantics: define business logic once, then compile and deploy it everywhere it is consumed. By replacing fragmented, tool-specific semantic layers with a unified, upstream semantic model, organizations can eliminate inconsistent metric definitions, reduce technical debt, and establish a trusted foundation for analytics and AI.​

 

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Apr 21, 2025

Meta Integration Technology Inc. Joins Databricks Partner Program to Extend Unity Catalog with Enterprise-Grade Lineage
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Mountain View, Calif. – April 21, 2025 – Meta Integration Technology Inc., the global leader in metadata integration, today announced it has joined the Databricks Technology Partner Program. This strategic partnership empowers organizations using Databricks Unity Catalog to enhance their data governance and visibility through MetaKarta, a modern metadata management platform purpose-built for enterprise-scale environments.
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MetaKarta extends Unity Catalog by providing true cross-system, end-to-end lineage — connecting semantic, logical, physical, and transformation-level metadata across hybrid data stacks. The result is an integrated metadata foundation for governance, architecture, analytics, and compliance.

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