Happy physician and patient having a warm conversation

11 minutes of
physician time saved
before every encounter.

April 2026

The Problem

U.S. physicians spend 180M hours a year on history intake.

Notes: Estimated from ~1.0B U.S. physician office visits and a modeled share of encounter time spent on history intake.
Sources: CDC FastStats; Young et al. time-motion study.

11+

physician minutes per visit

spent on history intake before high-value clinical work begins.

70%

of intake questions are repetitive

the same core questions are asked across millions of visits.

Our Solution

AI-powered intake, ready before the physician walks in.

Replacing manual data entry and repetitive questions with multimodal intelligence, giving physicians their time back.

Multimodal by design

Voice, video, and chat capture richer clinical data than forms or voice-only AI.

Physician in the loop

Physicians define the questions. Outputs are reviewable. Every interaction is auditable.

Workflow-native

Chart-ready summaries fit into existing clinical workflows before the encounter starts.

Early Validation

Strong physician pull at Kaiser Permanente.

Kaiser Permanente

Largest integrated health system in the U.S., with strong physician pull in orthopedics.

Pilot planning discussions

Orthopedics

What Kaiser Permanente physicians said

Quality

“More complete and accurate than what we typically get from manual intake.”

— KP Orthopedics physician

Multimodality

“A few levels ahead of the others — the visual inspection is unlike anything we’ve seen.”

— KP Orthopedics physician

Scalability

“I see real potential to expand this across specialties — this isn’t just an orthopedics tool.”

— KP Chief Innovation Officer

Progress toward pilot launch

Relationship opened

Complete

Physician validation

Complete

Pilot planning

Current

4

Scope alignment

Pilot launch

Target

How It Works

Giving physicians their time back before the encounter begins.

1

2

3

4

Physician

Use the questions they already have

Copy and paste from a questionnaire, protocol, PDF, email, or EHR export.

New Intake Agent

Shoulder Pain Questionnaire

Pasted from: Ortho_Intake_v3.pdf

Create Intake Agent

Patient

Starts from the appointment reminder link

A one-tap link arrives with the usual SMS reminder. No app download.

Dr. Smith's Office

Reminder: Your appointment is tomorrow at 2:30 PM. Please complete your intake here:

facemed.ai/abc

Patient

Completes intake like a guided FaceTime call

A natural, conversational experience designed to feel familiar and easy.

Physician

Starts the visit with the complete intake note

Chart-ready before the patient walks in. HPI, PMH, SH — all structured.

Chart-ready

HPI

PMH

SH

Business Model

$600/mo per physician. The math works on day one.

Pricing

~$600/mo

per physician per month

Flat per-physician SaaS subscription. No per-encounter fees, no implementation cost.

Provider value

5x+ ROI

per physician / year

11 min saved × 15 encounters/day ≈ $3,000+/mo in recovered physician capacity vs. $600/mo cost.

Why $600/mo is a no-brainer for providers

Time recovered

2.75 hrs/day

11 min saved per encounter × 15 encounters/day gives each physician nearly 3 hours back.

Revenue unlocked

2–4 extra slots

Recovered time translates to additional patient slots per day at ~$150–200 each.

Margin profile

85%+ gross

Software-only delivery with no per-encounter cost. Pure SaaS unit economics.

Go to market

Land by specialty. Expand by journey.

Start with structured specialties, then extend the same engine across more care moments.

Orthopedics

NOW · KP PILOT

Cardiology, Rheumatology, Urology

YEAR 1

GI, Neurology, Dermatology

YEAR 1–2

More specialties

YEAR 2+

Pre-visit

intake

Post-visit

follow-up

Remote care

workflows

Live

Intake

Follow-up

Monitoring

1 Win intake in one specialty

2 Replicate across specialties

3 Extend across the care journey

Market Opportunity

$10B+ market with no AI-native solution — yet.

TAM

AI-powered intake & clinical workflow across ~1M US physicians

$10B+

SAM

~120K physicians in structured-intake specialties at ~$15K blended ACV

$2B

SOM · Year 5

~30K physicians across 50–100 health systems

$200M

Bottom-up ~1M × $7.2K/yr + modules = $10–15K ACV → $10B+ AAMC / CDC

Why now

Pre-visit intake remains one of the last major unautomated clinical workflows

Scribes and scheduling got automated. History intake? Still manual for 1M+ physicians.

Physician burnout is driving demand for workflow relief

63% report burnout; admin burden is the #1 cause. Intake is the first bottleneck of every visit.

Competition

Crowded adjacencies. Open lane in pre‑visit.

Before the visit

Phreesia

Static digital forms

Epic MyChart

EHR patient portal

FaceMed

Voice + vision AI · chart-ready output

During the visit

Ambience Healthcare

Ambient scribe

Abridge

Ambient scribe

Nabla

AI copilot

After the visit

EHR auto-coding

Note summarisation & billing codes

Patient follow-up tools

Care instructions & remote monitoring

Why not ambient scribes?

They work after the physician walks in. Pre-visit is a different product: patient-facing, asynchronous, multimodal.

Why not form tools?

They digitised the clipboard. No clinical reasoning, no follow-up logic. Adding AI is a rewrite, not a feature.

Why not build in-house?

Specialty-specific logic, multimodal perception, and chart-ready output make this a product, not a bolt-on feature.

The Team

Built by the team that shipped health AI at scale.

Xiaolei Cao

Founder & CEO

· Founded and bootstrapped a B2B digital health business to 500K+ users, $1M ARR.

· Investor at a top London family office. Ex-McKinsey. UChicago MBA.

Alex Gao

Co-founder & CTO

· Founded and led Samsung Digital Health Lab. Represented Samsung at the FDA.

· 10+ yrs shipping health AI products with major U.S. health systems. Stanford MS.

Medical Advisory Board

Calum MacRae, MD

Chief of CV Medicine

Brigham & Women’s

Sanjay Desai, MD

Vice Dean

Johns Hopkins Medicine

Wendy Mendes, PhD

Professor of Psychology

Yale

Jeffrey Olgin, MD

Chief of Cardiology

UCSF

Raymond Mak, MD

AI Lead

Mass General Brigham

The Ask

Raising $5M to go from KP pilot to product‑market fit.

Use of Funds

Engineering

Go-to-Market

Clinical Ops

Compliance

35% — AI engine, EHR integrations, multi-specialty modules

35% — Enterprise sales & health-system partnerships

15% — Clinical success & specialty onboarding

15% — HIPAA infrastructure & SOC 2 certification

18-Month Milestones

Q3 2026

KP pilot live; Epic & athenahealth integrations

Q4 2026

5 health systems; 200 physicians; ~$1.4M ARR

H1 2027

SOC 2 Type I; 3+ specialty modules GA

Q3 2027

10 health systems; Series A ready

Welcome

11 minutes of physician time saved before every encounter.