Knowledge Graph Construction
Your organisation encoded as a first-class entity in the AI-mediated information environment.
From mention to entity
Being mentioned is not the same as being encoded. In the AI-mediated information environment, the organisations that carry authority are those represented as first-class entities: named, disambiguated, linked, and cited.
We build your organisation's knowledge graph the way KTS Global built its own: 21 entities, 133 relationships, one coherence index — 0.92 — and a single canonical source of truth at /api/kqas/graph.
Construction method
- Entity disambiguation — every concept, person, program, and outcome resolved to a unique identifier.
- Relationship typing — every edge carries a verb, a direction, and a provenance pointer.
- Cluster architecture — delivery, intelligence, infrastructure, branding, and core, with the invisible architect at the centre.
- Live endpoint — the graph is queryable at /api/kqas/graph; no agent is asked to infer structure that can be served.
What a queryable graph does
It removes ambiguity. When an AI agent asks “what does this organisation do, and how do its parts relate?”, the answer returns from a single authoritative endpoint that you control, that AEGIS V29 validates, and that every other capability on this site reads from.
Authority stops depending on who summarises you. It starts depending on what your graph says.