DI INTELLIGENCE ENGINE™

Not one model.
A governed intelligence fabric.

The strongest version of Disease Intelligence is not a single AI model. It is a layered system that can ingest, normalise, connect, verify, reason over and operationalise healthcare intelligence while preserving provenance, uncertainty and permissions.

TEN-LAYER ARCHITECTURE

What “strongest engine” should technically mean.

01

Ingestion fabric

APIs, registries, institutional feeds, verified submissions and controlled document extraction.

02

Canonical health ontology

Map synonyms, codes, diseases, specialties, capabilities, interventions, research and organisations into stable entities.

03

Entity resolution

Deduplicate and reconcile organisations, people, services, trials and concepts across sources.

04

Temporal knowledge graph

Relationships retain source, effective date, update history, confidence/status and geographic scope.

05

Evidence ledger

Every material assertion can be inspected and independently checked.

06

Retrieval & ranking

Hybrid lexical, semantic and graph retrieval with role/context-aware ranking and explicit unknowns.

07

Reasoning / agent layer

Specialised agents query governed tools and data with permissions, guardrails, audit and human escalation.

08

Workflow engine

Routing, referrals, verification, research, alerts, tasks and institutional operating rules.

09

Trust & policy plane

Consent, access control, jurisdiction, privacy, clinical boundary, safety and regulatory policies.

10

Observability & learning

Quality metrics, errors, drift, feedback, cost, benchmark performance and controlled improvement cycles.