Metagem.ai

What is a semantic layer?

A semantic layer is a business-friendly abstraction that sits between your raw data and the people (or AI systems) using it. It translates technical database schemas into meaningful business terms, definitions, and relationships — so everyone speaks the same language when talking about data.

Do you offer a platform?

Our core offering is an engine that extracts, consolidates, and maintains business knowledge from various sources. In addition, we provide a complementary business-friendly interface for browsing and updating these assets. If you need more advanced features, we fully integrate with heavier data catalogs and open-source tools.

How does Metagem integrate with our existing tools?

Metagem connects to your existing data infrastructure through standard APIs and connectors. We integrate with data warehouses, BI tools, documentation platforms, and collaboration tools like SharePoint and Confluence. Your data stays where it is — we just add the context layer on top.

How long does implementation take?

Most organizations see their first semantic layer up and running within weeks, not months. Our AI agents do the heavy lifting of discovering and classifying your metadata, while your domain experts validate and refine the results. No lengthy consulting engagements required.

Do we need to move our data?

No. Metagem works with your data where it lives. We harvest metadata and context from your existing systems without moving or copying your actual data. You maintain full ownership and control — we just help you understand and describe what you have.

How is the business glossary kept up to date?

Our AI agents continuously monitor your data landscape for changes. When schemas evolve, new reports appear, or definitions drift, the system flags these changes and suggests updates. Domain owners receive smart nudges to validate changes, ensuring your glossary stays accurate with minimal effort.

I already have a data catalog. Can Metagem integrate with it?

Absolutely. Metagem fully integrates with existing data catalogs — we both pull and push metadata from and to them. Our differentiator lies in the automated discovery and maintenance of business knowledge, as well as full integration with unstructured documentation like SharePoint and Confluence. Your catalog stays your system of record; we just make it smarter.