Local-first · Air-gapped · Compliant

Your data stays.
Intelligence scales.

Graph-powered patient screening, therapy matching, and clinical reasoning — entirely within your secure perimeter. No third-party APIs. No cloud egress. No compromise.

100% On-premise
0 External API calls
HIPAA+ GDPR ready
Patient cohort graph — live reasoning
Live Demo

Try It Now

Seed synthetic T2DM patients, pick a protocol, and watch the graph engine find matching patients in real time.

1 Load Demo Data

EHR data siloes patients.
Cloud tools compromise them.

Passive cohort lists

Standard EHR exports give you flat patient timelines. Manual chart review is slow, error-prone, and doesn't scale. By the time you find eligible patients, the enrollment window has closed.

Cloud egress risk

Every cloud-based AI tool sends patient data to a third-party API. HIPAA violations, GDPR exposure, and audit findings are not edge cases — they're the default when PHI leaves your perimeter.

Screen failure cascades

Without graph reasoning, protocol matching is blunt. Patients pass initial criteria then fail at site visit — costing sponsors weeks and hundreds of thousands per failed enrollment.

80% of clinical trials miss enrollment timelines. 30% of sites fail to enroll a single patient. The root cause is data infrastructure — not patient motivation.

One fabric. Full clinical intelligence.

TrialGraph is a locally deployed health intelligence fabric that replaces manual chart review, blunt cohort queries, and risky cloud tools with graph-powered reasoning — entirely within your perimeter.

01

Graph-powered patient screening

Go beyond flat EHR exports. TrialGraph builds a knowledge graph from your patient data — diagnoses, labs, medications, procedures — and uses graph traversal to find patients who match complex protocol criteria. Not just codes. Clinical relationships.

ICD-10 / ICD-9 mapping FHIR native Graph traversal
02

Protocol-to-patient matching

Input a clinical protocol and get back a ranked cohort with reasoning traces. Every match explained, every exclusion documented. Stop guessing why patients failed screening.

Inclusion/exclusion logic Audit trails
03

Therapy cross-referencing

Find optimal therapy matches by reasoning across drug interactions, contraindications, and patient history simultaneously. Not a lookup table. A graph.

Drug interaction graph Contraindication check
04

Patient-reported outcomes

Structured PRO integration feeds outcome data back into the graph. Close the loop between trial results and real-world patient trajectories without external data transfer.

PRO capture Outcome tracking
05

Zero cloud egress

Every operation — data ingestion, graph construction, reasoning, output — runs entirely within your infrastructure. Your PHI never leaves your perimeter. Not for model calls. Not for storage. Not ever.

Air-gapped deployment No external APIs Local inference

Deployed in your environment.
Not ours.

Data Sources
EHR Systems
Lab Systems
Claims Data
TrialGraph Fabric
Ingest + Normalize
ICD / SNOMED / FHIR
Graph Engine
Knowledge Graph
Reasoning Engine
Protocol matching
Output Layer
Structured reports
Outputs
Patient cohorts
Eligibility traces
Therapy matches
Clinical reports

Security

  • 100% on-premise deployment
  • No data leaves your perimeter
  • HIPAA + GDPR compliant
  • SOC 2 Type II ready

Integration

  • Epic, Cerner, Allscripts
  • FHIR R4 API
  • Custom HL7 feeds
  • Standard EDC exports

Clinical intelligence
doesn't have to mean
clinical risk.

TrialGraph is built for institutions that can't afford to choose between smart patient care and secure data governance. It's the platform that respects your perimeter as much as your patients.

Local-first architecture Zero cloud data transfer, ever
Graph-powered reasoning Not keyword matching
Structured clinical output Audit-ready reports
Air-gapped.
Always.