AI for regulated healthcare
Clinics, insurers, and medtech platforms use AI Router to automate clinician and operator drudge work — with medical-data masking, source citation, and an audit trail acceptable to internal ethics and quality committees.
Use cases in production
Where LLMs return real time savings without touching clinical decisions.
Clinical note generation
Turn doctor-patient dialogue into a structured record. The clinician signs off — AI never replaces the signature.
Pre-visit triage
Symptom and urgency analysis from first-contact text. Routing to the right specialist or escalation line.
Medical literature summarization
Literature reviews, protocol comparison, knowledge-base retrieval with source citations.
Registrar assistant
Pre-appointment prep, procedure-readiness reminders, plain-language explanation of test results for patients.
Safety and guardrails
What we do to keep LLMs safe for clinical contexts.
PHI/PII masking
Built-in patterns for names, national IDs, insurance numbers, ICD diagnosis codes. Per-key policies, per-session rotation.
Human-in-the-loop by default
AI generates a draft; the clinician approves. Every final decision is on a human. We record the approval fact in the audit log.
Clinical audit trail
Each generated record has a generation ID, model, provider, and prompt version. Full reproducibility for regulator review.
Data residency
Medical data stays in-country. Cross-border transfer is off by default; self-hosted open-weight models are available for the most sensitive workloads.
Run a clinical pilot
We support ethics-committee review and prepare the artifacts the quality department expects.