Healthcare Entity Graph
Canonical entities and typed relationships across disease, capability, organisations, evidence, research and access.
DEFENSIBILITY STACK™
The moat cannot be “we use AI”.
A durable Disease Intelligence company needs multiple reinforcing forms of defensibility. V9 makes those layers explicit so engineering, product, commercial and funding strategy all build the same moat.
DATA / IP
Capability Verification Network
Provider- and institution-supplied capabilities with provenance, review, freshness and conflict handling.
Evidence Provenance Layer
Every important assertion can retain source, date, confidence/status, review history and contradictions.
Workflow Distribution
Case routing, referrals, trials, collections, signals, verification and enterprise operations create recurring use.
Aggregate Intelligence
Lawful, privacy-preserving demand, capability-gap and network signals can compound as usage grows.
Interoperability & APIs
FHIR-shaped models, partner APIs, webhooks and white-label delivery increase distribution and switching costs.
Regulatory / Assurance Know-how
Safety boundaries, auditability, privacy, procurement and clinical AI governance are operating capabilities, not marketing copy.
ANTI-COMMODITISATION
What a generic model cannot reproduce by prompting.
Verified supply
A current, evidence-backed map of institutional capabilities requires relationships, operations and review—not just language generation.
Longitudinal provenance
Knowing what changed, when, why, from which source and who reviewed it is a governed data system.
Embedded workflow
If referrals, evidence review, network management and research operations run through DI, value persists even as foundation models change.