Vol. I · Spring 2026Issue No. 01

Currently in private beta with two Phoenix specialty practices

Give your staff
their afternoons
back.

Sarthi is an AI workforce for specialty medical practices. It handles intake, scheduling, charting, and follow-up — quietly, in the background — so your team can focus on the person in the room.

Launch partners
02
Phoenix · AZ
Specialties
Card · Pulm
US workflows
Security
HIPAA
SOC 2 in progress
Built
In the U.S.
With clinicians
§ 01Launch partners

We are building this
with clinicians,
not for them.

Two independent specialty practices in Arizona are co-designing Sarthi with us — sitting next to intake coordinators, medical assistants, and physicians to build what their day actually needs.

Heart & Rhythm Solutions

Cardiology & Cardiac Electrophysiology

Chandler & Queen Creek, Arizona

Board-certified cardiovascular practice serving the East Valley — ablation, pacemaker implantation, and arrhythmia management.

Integrity Pulmonary Specialists

Pulmonary Disease & Critical Care

Phoenix, Arizona

Multi-physician pulmonology practice — 23+ years experience, triple board-certified in Critical Care, Internal Medicine, and Pulmonology.

§ 02What Sarthi does

Three capabilities
that plug into your day —
from the first phone call to the last claim.

Not another dashboard. Sarthi works where your team already works — the phone, the fax, the chart — and hands clean, ready work back to you.

01Voice agents

A front-desk teammate that never misses a ring.

Sarthi answers, schedules, triages, and routes — in natural conversation — across office hours, overflow, and after-hours. Transcripts, summaries, and disposition codes are written back to your chart before you hang up.

02Document intelligence

Faxes, forms, and referrals — read at a glance.

Vision models extract structured data from the paper flood, attach it to the right patient, and surface what a human needs to review.

03Task orchestration

Quiet agents that close the loop.

Prior auths, refills, coding, callbacks — Sarthi keeps the long-tail of practice work moving so nothing stalls in someone's inbox.

§ 03A Tuesday at the practice

A quiet
Tuesday
at the practice.

  1. 07:42
    Voicemail

    An overnight patient calls about chest pressure. Sarthi triages, books the same-day slot, and pings the on-call cardiologist before the office opens.

  2. 09:15
    Fax inbox

    Twelve referrals arrive. Sarthi extracts demographics, insurance, and reason for consult, and stages the charts for front-desk review.

  3. 11:04
    Visit note

    A pulmonology follow-up wraps. The ambient scribe drafts an A/P with ICD-10 candidates. The physician edits two lines and signs.

  4. 13:30
    Prior auth

    A cardiac MRI needs authorization. Sarthi pulls the right clinical history, fills the form, submits, and watches for the payer response.

  5. 16:55
    Follow-up

    Post-ablation patients get a personalized check-in. Sixteen respond; two flag symptoms and are routed to the triage queue.

  6. 18:10
    End of day

    No unfinished charts. No faxes waiting. The inbox is at zero.

§ 04What we are designing for

Outcomes we’re
building toward.

These are the targets our launch partners set with us. They are aspirational, not achieved — a public commitment to what Sarthi has to earn.

Return on investment
1.5—2.5×
Target ROI per practice, year one.
Team capacity
10×
Target throughput on repetitive workflows.
Unit economics
35—50%
Target cost versus outsourced human labor.
§ 05The roadmap

From automation
to autonomy.

A three-phase evolution. We’re honest about what ships when — and what is still a hypothesis.

Phase 01Q4 2025 — Q1 2026
Active development

Foundation

The ambient scribe, voice agent, document intake, and prior-auth orchestration — production-grade, HIPAA-aligned, deployed with our first two partners.

  • +NLP engine
  • +GCP Vertex
  • +HIPAA / SOC 2
  • +Pilot: 10 practices
75% complete
Phase 02Q1 2026 — Q4 2027
Next horizon

Intelligence

Specialty-specific models trained on consented, de-identified workflow data — delivering higher accuracy on coding, triage, and predictive care gaps.

  • +Custom models
  • +Specialty-tuned
  • +Closed feedback loops
Phase 032028 and beyond
Vision

Ecosystem

An open clinical operations platform — third-party integrations, payer-side bridges, and multi-practice network effects.

  • +API platform
  • +Data exchange
  • +Multi-sided network
§ 06How it is built

Modern infrastructure.
Healthcare-first posture.

We make boring, deliberate choices where patient data is involved and bold ones where the product experience is involved.

Cloud & infrastructure

Google Cloud Platform
Regional deployment, private networking, encrypted at rest and in transit.
HIPAA & SOC 2 posture
BAA in place. SOC 2 Type I underway with launch partners.
Managed databases
Postgres for transactional data, object storage for artifacts, audited access.

AI & machine learning

Foundation models
Clinically-tuned LLMs with tool use, retrieval, and deterministic guardrails.
Speech & voice
Low-latency ASR / TTS, with medical vocabulary fine-tuning.
Evaluation harness
Offline test sets graded by clinicians; online quality telemetry.

Application layer

Next.js & TypeScript
Type-safe UI for physicians, staff, and admins.
Event-driven orchestration
Agents coordinated by a durable workflow engine — replayable and auditable.
EHR bridges
Read / write via HL7 FHIR and legacy interfaces where practices live.

Final note

If you run a specialty practice
and you’re curious —
let’s talk.

We take on one or two new launch partners per quarter. Expect a real conversation about your day, your EHR, and what you wish would just do itself.