Healthcare × Knowledge Graphs
$61B in healthcare AI.
85% fails to scale.
The fix is structure.
Every health system has Epic. None of them have structured intelligence. Knowledge graphs turn clinical chaos into reasoning substrate.
85%
AI Pilots Fail to Scale
The Problem
Healthcare has the data. It doesn't have the structure.
→30% of the world's data is healthcare. Almost none of it is structured for AI reasoning. Trapped in clinical notes, scanned PDFs, fax machines, and siloed EHRs.
→LLMs hallucinate drug interactions. RAG retrieves the wrong protocol. There's no relationship layer between diagnoses, medications, and outcomes.
→Interoperability is mandated. Intelligence isn't. FHIR moves data. It doesn't structure meaning. Structured pipes without structured intelligence just move unstructured data faster.
→$1.4B spent on healthcare AI in 2025. Nearly tripled year-over-year. Most of it wasted because AI pilots lack the structured domain context to operationalize.
What We Build
Knowledge graphs for healthcare that make AI reason, not guess.
Clinical Decision Support
Diagnosis → treatment → contraindication → outcome pathways. Multi-hop reasoning across patient history, not keyword search.
Prior Authorization
Payer rules, CPT codes, clinical criteria, appeal pathways — mapped as a traversable graph. Reduce denials by structuring the maze.
Formulary & Drug Interaction
Medication relationships, therapeutic alternatives, interaction chains. The graph catches what flat lookups miss.
Regulatory & Compliance
CMS, HIPAA, state regulations interconnected. Change one rule, see every downstream impact instantly.
Care Pathway Optimization
Patient journeys across departments, handoffs, touchpoints. Bottlenecks and gaps that flat process maps can't see.
Physician Network Intelligence
Referral patterns, credentialing overlaps, network dynamics that drive volume and quality.
How It Works
Same model. Structured context. Clinical reasoning.
→The problem: Healthcare organizations feed AI unstructured clinical data. It retrieves text chunks. It doesn't understand relationships. It hallucinates. It fails audit.
→The solution: Graphify.md structures your clinical domain into a queryable knowledge graph — ~200 concepts, relationships, and rules — compressed to portable .md files that plug into any AI tool.
→The result: The intelligence layer knows metformin relates to renal function relates to GFR thresholds relates to dosing adjustments — and traverses that chain in milliseconds.
→The speed: Domain knowledge graph built in days, not months. Your health system's institutional knowledge, structured and deployed before the next board meeting.
30 Minutes. I'll Show You the Graph.
The proof is in the structure, not the pitch.
Book a Demo