The memory layer of your business.
The Business Graph is a live knowledge index of every entity in your company — automatically built, automatically ranked, and automatically fed to AI agents at the right moment.
Your business data is siloed. Your AI is blind.
Most AI tools get generic answers because they lack business context. The Business Graph changes that.
- Data is scattered across tools and files.
- Search relies on exact names and manual filters.
- AI answers without business-specific context.
- Teams cannot trace why an answer was produced.
- All entities are connected in one business graph.
- Semantic + structured search finds the right records fast.
- AI receives ranked context before generating actions.
- Every decision stays explainable and auditable.
Dual-layer architecture.
Structured + vector. Fast lookups and deep semantic search on the same data.
Structured layer
MongoDB stores every entity with its type, relationships, legal identifiers, and metadata. Instant exact lookups by ID, type, or relationship.
Vector layer
Every entity gets a text representation and is embedded with Azure OpenAI. Semantic search finds the right entities even when the exact name is unknown.
Multi-signal ranking.
Not all entities are equal. The graph ranks them by relevance at query time with 5 independent signals.
Everything is an entity.
The graph knows 10+ entity types, each with its own text builder and relationship model.
Context is the new accuracy.
The Business Graph is what makes Numezis AI agents actually useful — not just fast.