Five context layers — four core plus Governance cutting across all of them. This is the map of what the Enterprise Brain connects: every kind of knowledge your organization holds, and where it lives today.
Principle: Category = nature of content, not the source system.
Four kinds of enterprise knowledge, one governance layer cutting across them all — feeding a single governed intelligence layer. Click any layer to explore its full contents below.
The Brain connects your sources, builds governed knowledge from them, and serves it to any AI — search, copilots, or autonomous agents.
Structured data, documents, code, and live systems — one governed layer, built once and used everywhere.
The entire Brain runs inside your trust boundary — your cloud account, your datacenter, or fully air-gapped. Ingestion, transformation, storage, and model inference all happen within your walls. Nothing is sent to an outside service, and no model provider ever sees your data.
The knowledge graph holds meaning and pointers — your definitions, relationships, and the map of where everything lives. Your bulk records aren't duplicated into it; they're queried where they already sit, under your own access controls.
AutoSemantica connects your internal systems inside one enterprise — it does not move data across organizational or legal boundaries.
One layer at a time — every category, topic, and the systems where that knowledge lives today.
The model: Domain, Data, Technical = knowledge at rest. Operational = knowledge in motion. Governance = the control plane that cuts across all four. Real agent work never stays within one layer — every meaningful task pulls context from 4–5 layers, and the interactions happen at the component level, not the category level.
See how these components combine in real situations
Explore the Scenario Library →