Four jobs teams hand to the graph on day one.
These are not feature tours. Each one is a job that starts failing the moment company data is stored as text rather than as resolved entities — duplicate CRM records, territories that overlap, expansion paths nobody can see, agents that answer confidently and wrongly. The underlying fix is the same in all four: resolve the entity once, then traverse it.
Four paths into the same identity graph.
CRM enrichment
Enrich and dedupe against a canonical graph so every record resolves to one verifiable entity — instead of four near-duplicate rows for the same company under four spellings.
Enrich your CRM →Territory planning
Plan on real corporate structure and firmographics rather than flat, conflicting account lists. Parent-subsidiary trees mean one account lands in one territory, once.
Plan territories →Account expansion
Traverse hierarchy and relationships to surface expansion paths inside accounts you have already won — the subsidiaries, divisions, and adjacent entities your CRM stores as unrelated strings.
Find expansion paths →AI agent data layer
Ground agents in a canonical, source-linked data layer through the REST API and MCP server, so an answer carries a citation and a date instead of a plausible guess.
Ground your agents →Start with the job that is costing you most.
Every path above runs on the same graph and the same API, so starting with one does not commit you to a migration later. Pick the one that hurts, and check the resolution rate against records you already know.