GOVERNED FOR
Patient-safety ticket triage
Reportable patient-safety issues are only about 2% of all support tickets — the rest is routine noise like password resets. We built an ML classifier that reads the clinical context of every ticket and isolates that critical 2% automatically, so nothing reportable slips past a tired reviewer.
Ambient AI medical scribe
Clinicians lose up to two hours of documentation for every hour of care. Built on clinical LLMs, our ambient scribe listens to the natural consultation, separates speakers, and writes a structured SOAP note straight into the EHR — no dictation syntax, no human scribe in the room.
GenAI support deflection
EHR platforms are complex, so users skip the docs and file a ticket. Our GenAI engine intercepts the ticket as it’s drafted, answers it from the vendor’s own manuals, and deep-links to the exact timestamped video segment — resolving it before it ever reaches a human agent.
Knowledge-graph clinical decision engine
Hormone optimization needs precise, individualized protocols where a wrong dosage carries real risk. We fused a deterministic knowledge graph with a multi-agent framework: rules select the protocol, a safety agent checks contraindications, and the LLM only writes the patient-friendly summary — collapsing drafting from hours to seconds with hallucination engineered out.
Patient-safety triage
Classify reportable issues out of routine ticket noise using clinical context.
Ambient documentation
Structured SOAP notes generated from natural conversation, into the EHR.
GenAI support deflection
Resolve tier-1 support at ticket creation with answers and video chunks.
Clinical decision engines
Knowledge-graph, multi-agent protocols with safety guardrails – no hallucinated dosages.
Governed data foundation
Clinical, claims, and product data structured with PHI safeguards and lineage.
HITL + audit trails
Human checkpoints and full traceability on every decision, by default.
QUICK ANSWERS
The questions buyers actually ask
Yes – it’s built to. PHI is encrypted, access-controlled, and logged; a Business Associate Agreement (BAA) is in place; humans stay in the loop on clinical decisions; and every decision has an audit trail. Controls map to HIPAA, HITECH, SOC 2, ISO 27001, and HITRUST.
The language model never makes the clinical call. Deterministic rules and a knowledge graph decide; a safety agent checks contraindications; the LLM only writes the readable summary. Generation is grounded on your data, not the open web.
A governed proof of concept typically runs in weeks, not quarters – because the data foundation and compliance scaffolding come from production-tested components, not a from-scratch build.
Nothing. It’s a free 30-minute read of what data is usable today, what’s blocked and why, and which use cases could ship first – shared evidence for your clinical, data, and compliance leaders.