Ingestion fabric
APIs, registries, institutional feeds, verified submissions and controlled document extraction.
DI INTELLIGENCE ENGINE™Not one model.
Not one model.
A governed intelligence fabric.
Disease Intelligence combines structured medical terminology, evidence, provenance, permissions and workflow logic so users can inspect how information is connected and where human review is required.
TEN-LAYER ARCHITECTURE
How the intelligence engine is structured.
Canonical health ontology
Map synonyms, codes, diseases, specialties, capabilities, interventions, research and organisations into stable entities.
Entity resolution
Deduplicate and reconcile organisations, people, services, trials and concepts across sources.
Temporal knowledge graph
Relationships retain source, effective date, update history, confidence/status and geographic scope.
Evidence ledger
Every material assertion can be inspected and independently checked.
Retrieval & ranking
Hybrid lexical, semantic and graph retrieval with role/context-aware ranking and explicit unknowns.
Reasoning / agent layer
Specialised agents query governed tools and data with permissions, guardrails, audit and human escalation.
Workflow engine
Routing, referrals, verification, research, alerts, tasks and institutional operating rules.
Trust & policy plane
Consent, access control, jurisdiction, privacy, clinical boundary, safety and regulatory policies.
Observability & learning
Quality metrics, errors, drift, feedback, cost, benchmark performance and controlled improvement cycles.