In a clutter of AI tools, the practice is asking who runs the runtime.
Sarthi is the operating layer underneath the medical practice — voice, documents, workflow orchestration, and EHR bridges in one coordinated runtime.
Not another point tool in the stack. The substrate the stack runs on. Live with launch partners in Phoenix.
investors@sarthi.ioEmail →Tell us your fund, check size, and a window for a 30-minute call. Deck on request.
The clutter is real.
A typical specialty practice already touches 5–10 fragmented AI and SaaS tools — separate scribe, separate prior-auth bot, separate intake bot, separate inbox triage, separate coding assist, separate analytics. Procurement is exhausted. Integrations are brittle. The market is openly asking who is going to absorb all of this into one substrate.
Sarthi is the layer, not another tile.
We don’t compete with the scribe or the prior-auth bot — we compete with the bundle. One coordinated runtime: voice, document intelligence, workflow orchestration, EHR bridges. The practice runs on Sarthi the way a business runs on its OS, not the way it tries another dashboard.
The layer is harder to build, harder to displace.
Operating-layer positioning needs cross-cutting integrations, clinical safety rails, and tenant isolation from day one — that’s a moat the next point-tool can’t sprint past. And once a practice runs on you, they don’t swap their substrate the way they swap a scribe. At the core: a Patient Engram. After six months, it has learned the doctor’s note style and the practice’s payer denial patterns — switching means starting from a blank Engram.
EHR bridges live: eClinicalWorks · Tebra (FHIR R4). Epic integration-ready.
Regulation, models, and market posture opened the window.
CMS-0057-F lands in January 2026, forcing payers to expose prior auth APIs. The 2025 HIPAA Security Rule update raises the floor on what an AI vendor must prove. Foundation models, tool use, and agentic patterns are finally shippable inside HIPAA boundaries. PE rollup fatigue is pushing independent practices back into the market — looking for an operator, not a tool.
We didn’t wait for the window. The runtime is live, with cardiology and pulmonology launch partners in Phoenix, built at the table with practicing physicians.
Ambient capture and conversational intake — clinician-grade fidelity, with structured outputs that downstream coding and documentation pipelines actually consume.
Charting, coding, and prior-auth packets generated, validated, and submitted with audit trails clinicians and payers can both read.
Long-running agentic workflows for intake, follow-up, and revenue cycle — with hand-offs to humans where the work demands it, not where the model gets uncertain.
Read/write integrations live with eClinicalWorks and Tebra (FHIR R4); Aprima in pilot; Epic integration-ready — plus the payer plumbing that makes prior auth and claims close as one system.