How Metagem fits in your landscape
A context & quality layer between your business systems and the agents, apps and people that use them.
API clients
Your agents
Runs on your managed LLMs
Bedrock / Azure AI Foundry, in your tenant
User platform
- Context asset overview
- Prioritized quality findings
- Validation flow
Context & Quality Engine
Agent-ready context
Structured, quality-scored context any agent can use.
Business ontology
Concepts, rules and relationships, mapped on autopilot.
Semantic layer
One shared definition of every metric, term and entity.
Runs in your environment
Systems of record
Systems of data
Systems of semantics
Systems of knowledge
Ecosystem agnostic, by design
Pull from and push to the systems you already run. Serve context to any agent.
Pull and push with
and more
Agent connectors, plus MCP for your own
Questions we often get.
Runs inside your environment
Your keys, your network, your audit trail. Or start on our tenant and move in-house later.
Where does Metagem run? Two options
Option 1 · Your own cloud (preferred). Azure or AWS, behind your SSO.
Option 2 · Our public tenant. Live in days, move in-house later.
One question, end to end
The copilot doesn't guess what “contractor” means. It asks Metagem first.
- 1UserMS Copilot / Agentic BI
“Total contractor spend this year?”
- 2MS Copilot / Agentic BIMetagem Engine
Resolve “Contractor” (MCP)
- 3Metagem EngineMS Copilot / Agentic BI
3 definitions, authority per domain
HCM worker ≠ CLM party ≠ FIN supplier
- 4MS Copilot / Agentic BIData landscape
Grounded & context-aware retrieval
- 5Data landscapeMS Copilot / Agentic BI
Data + documents
Only the sources the resolved definition points at
- 6MS Copilot / Agentic BIUser
Trusted answer + provenance
The number, the definition it used, and where it came from