# metagem.ai — Enterprise Context for the AI Era

> Metagem extracts and unifies business context from any data source. AI agents build a governance-ready semantic layer so your enterprise AI and reporting are grounded in trusted, verifiable meaning.

## What is Metagem?

Metagem deploys AI agents that harvest metadata from structured and unstructured sources, build a unified semantic layer, and keep it governed with human-in-the-loop validation. The result: enterprise context that is always accurate, auditable, and ready for AI consumption.

## Core Capabilities

### 1. Self-Maintaining Business Glossary
- AI agents scan databases, BI tools, and documents to extract business terms
- Automatically identify synonyms, surface conflicts, and build relationships
- Domain owners validate with minimal effort; AI keeps it updated

### 2. Business-to-IT Lineage
- Maps business concepts (like "Customer ID") to technical implementations across systems
- Bridges the gap between KUNNR in SAP, CUST_ACCOUNT_ID in Oracle, AccountId in Salesforce
- Continuous monitoring detects schema changes and proposes updates

### 3. Post-M&A Data Integration
- Harmonize master data across acquired companies in weeks, not years
- Unify business terminology when "Revenue" means different things
- Connect ERPs, PIMs, and legacy systems including AS/400

### 4. Unstructured Data Governance
- Scan SharePoint, Confluence, network drives, and cloud storage
- Classify documents by sensitivity, importance, and risk level
- Extract business knowledge for AI initiatives

### 5. GenAI Governance
- Ground large language models in verified business context
- Ensure AI outputs are auditable and traceable to source definitions
- Prevent hallucinations with a governance-ready semantic layer

### 6. SAP Migration & Adoption
- Accelerate S/4HANA migrations with automated metadata discovery
- Map legacy custom fields and business logic before migration
- Reduce risk and consulting costs

## Key Agents

- **Harvest Agent**: Scans structured and unstructured sources for metadata
- **Build Agent**: Creates semantic maps using AI/ML algorithms
- **Govern Agent**: AI-assisted validation with human oversight

## Integrations

Metagem connects to:
- Data warehouses: Snowflake, Databricks, BigQuery, Redshift
- ERPs: SAP, Oracle, Dynamics 365
- BI Tools: Power BI, Tableau, Looker
- Documentation: SharePoint, Confluence, Google Drive
- Legacy systems: AS/400, mainframes

## Company Information

- **Location**: Ghent, Belgium
- **Website**: https://metagem.ai
- **Contact**: https://meetings-eu1.hubspot.com/sean32
- **LinkedIn**: https://www.linkedin.com/company/metagem/

## Use Cases

1. **Business Glossary**: /use-cases/business-glossary
2. **Business-IT Lineage**: /use-cases/business-it-lineage
3. **Post-M&A Integration**: /use-cases/post-ma
4. **Unstructured Data**: /use-cases/unstructured-data
5. **GenAI Governance**: /use-cases/genai-governance
6. **SAP Migration**: /use-cases/sap-migration
7. **Fast-Track Governance**: /use-cases/fast-track-governance
8. **Complete Data Catalog**: /use-cases/complete-catalog
9. **Digital Twin**: /use-cases/digital-twin
10. **Govern Unstructured Data**: /use-cases/govern-unstructured

## FAQ

**What is a semantic layer?**
A business-friendly abstraction between raw data and users/AI. Translates technical schemas into meaningful business terms.

**How long does implementation take?**
Most organizations see their first semantic layer running within weeks, not months.

**Do we need to move our data?**
No. Metagem works with your data where it lives. We harvest metadata without moving actual data.

**Does it integrate with existing data catalogs?**
Yes. Metagem pulls and pushes metadata to existing catalogs while adding automated discovery and maintenance.