Clinical AI · Knowledge Graph · Multi-Agent
Health
A biomedical knowledge graph workspace for clinical reasoning. 270K+ nodes, 12M+ relationships, 8 clinical roles, and vision-grounded multi-agent consults, all safety-gated.
Knowledge Sources
3 graphs. Unified.
PrimeKG, DRKG, and HetioNet merged into a single Neo4j graph. RotatE embeddings trained for link prediction. 82% Hits@10 on drug-disease associations.
Role-Based Workflows
8 clinical roles. One platform.
Each role gets a tailored dashboard with unique metrics, worklist, and action buttons. The system detects the role and adapts the entire UI.
Clinical Encounter
6-step workflow. Safety-gated.
Progressive disclosure through intake, imaging, transcription, memory, multi-agent reasoning, and clinician review, with validation gates at every step.
Multi-Agent Consult
Agents with confidence.
Each specialist agent returns a confidence score, evidence list, and recommendation. Clinicians see all agents side-by-side before making a decision.
Knowledge-grounded clinical AI.
Reducing hallucinations through 12M+ biomedical relationships.