This deck is private
CONFIDENTIAL

Meet Ema.
The women's health AI.

The problem
~60%
of women's health scenarios fail across the 13 leading LLMs
Gruber et al., A Women's Health Benchmark for Large Language Models, arXiv 2025.
Yet, 75% of U.S. health companies are betting on AI.
Without cohesive context, general AI is forced to guess.
Under-researched
Women were excluded from most clinical trials until 1993.NIH Revitalization Act, 1993
Unrepresentative
Dosing and diagnostics were rarely validated for women.Nature Reviews Bioengineering (2024), “Funding research on women's health.”
Complex
Ovarian aging reshapes everything; the data never connects.Mayo Clinic — “How menopause affects heart, brain and bone health”
The solution

Ema turns general AI into
women's health intelligence
any health system can trust and deploy.

InputAny frontier modelGeneral-purpose, male-baselined
→
EmaemaeqClinical rubrics · guardrails · 10M+ conversations
→
OutputContext-aware guidanceEvidence-based, safe, and actionable
The missing layer in healthcare

Ema is with the patient before, during, and after the primary care appointment.

01

Her symptoms

What she notices, experiences, and shares between appointments.

Usually disappears
02

Primary care

A brief visit with only part of her history in view.

Repeat the story
03

Diagnostics

Results arrive in another portal, disconnected from her daily reality.

Another partial record
04

Pharmacy

The treatment may be right but still inaccessible or unaffordable.

Context resets
05

Specialist care

A new expert sees a new snapshot—not the whole woman.

Start again
Real-world partner example

A woman with a psoriasis flare, trying to get into a clinical trial.

PatientsLikeMe×Takeda clinical trial
01Ema routes

Get her the at-home diagnostic

Diagnostics
02Ema matches

Enroll her in a clinical trial

Research
03Ema unlocks

Find medication support

Access
04Ema briefs

Give her doctor what they need

Care team
MMaya, 34recurring
psoriasis flares

Ema captures what happens between visits. Viewed alongside Maya’s clinical records, those in-between moments create a more complete longitudinal story.

Maya's longitudinal care record6 of 8 entries added by Ema
Flare pattern14 monthsHer journey
Raspberry IgE2023, resurfacedEma
Med response2 agents failedPharmacy
Dietary triggernot seasonalEma
At-home panelrouted to her doorEma
CoverageSDOH + couponEma
Trial eligibilitynow recruitingEma
Care summaryready to shareEma
Women’s health intelligence

Ema supercharges health and wellness outcomes (safely)

In women's health, a raw model is an astronaut with no suit.

She asks“I'm exhausted, nauseous, and my jaw aches.”
Raw model

“Try gently massaging your jaw or applying a warm compress.”

● Misses a heart attack.
Ema

“Jaw ache and nausea can signal a heart problem — especially in women, where it shows up without chest pain.”

● Catches the red flag. Escalates. Uses her history.
Ema's proprietary DNA
Ema as an astronaut's suit A frontier model drawn as an astronaut. Each part of the suit is labelled with a layer Ema provides: the helmet is safety and guardrails, the chest module is clinical frameworks, the life-support pack is the proprietary dataset, the arm telemetry is data analytics, the gloves are agentic capabilities, and the boots are secure infrastructure. HELMET & VISORSafety & guardrailsred flags, escalation LIFE-SUPPORT PACKProprietary dataset10M+ conversations BOOTSSecure infrastructureHIPAA · GDPR · SOC 2 CHEST MODULEClinical frameworksclinician-approved rubrics TELEMETRYData analyticsfrom every conversation GLOVESAgentic capabilitiestriage, screening, scheduling Hybrid Language ModelLLM + clinical rules Bias & Conflict Detectionmonitored on every answer
Astronaut = any frontier model, swappable  ·  Suit = Ema, running on our hybrid language model
TL;DRThe LLM missed a woman having a heart attack. Ema didn't.
Commercial validation

We are already building the foundation with organizations across the health ecosystem.

Diagnostics

Bring the right test into the journey

LetsGetChecked
FDA + research

Generate evidence from real conversations

WaveBye
Patient community

Build the longitudinal story

Pediatric allergies

Connect testing to everyday context

Reproductive care access

Expand access to reproductive care

Julie
Women’s health

Meet women where they already engage

Aavia
More organizations we’re building with
Embr Wave Womaness Work & Otsuka lovu Flourish Women’s Heart Alliance I Need An A Willow
74%
WearablesPreferred response
2×
Digital healthEngagement
52%
Pharma & diagnosticsGuided to a doctor
What we built

We built what general-purpose LLMs missed in plain sight.

History proves this…
5%

of global R&D funding has gone to women's health — for decades.

Nature Reviews Bioengineering (2024), “Funding research on women's health.”

Our differentiators: Purpose-built for accuracy, accountability, and compliance in women’s health — not bolted on after the fact.

Cheaper

Predictable pricing.

Trusted

Conflict and bias monitoring.

Transparent

Analytics across every conversation.

Reduced Risk

Human-in-loop QA. HIPAA & SOC 2.

Modular

One capability or the whole layer.

Ownership

IP stays in the partner environment.

Market

We proved demand in women’s health. Now we scale into clinical care.

TAM$2.0TWomen's health across wellness, tech-enabled health, diagnostics & pharma
SAM$500BReachable with Ema's layer
SOM$110MObtainable near-term
Ideal Customer Profiles
1
Health & wellness brands
Proven wedge

Consumer-driven products, wearables, and services.

SAM $250BAvg customer $250Ke.g. Julie
2
Diagnostics, pharma & FDA programs
Now

At home diagnostics, hormonal testing, virtual pharmacy, FDA research.

SAM $150BAvg customer $500Ke.g. Let's Get Checked
3
Health systems & tech-enabled care

EHR-connected care, telehealth, fertility, GLP-1, allergies, and clinical trials.

SAM $100BAvg customer $350Ke.g. Patients Like Me
Sources: McKinsey, WHO, GlobalData, Fortune, Statista, Grand View.
Traction

Our market traction to-date

ARR Growth: 2026–2028
$1M
YE 26
$4.5M
YE 27
$12M
YE 28
Projected
*Totals in chart above are cumulative
✦Growth Metrics
2025 → 2026 Expected Growth
396%
✦Active Pipeline
$12M
Total Pipeline Value
Avg Deal Size$125K
Average deal2-year, with auto-renewal
$3M
Signed in contract value to date*
*Contracts signed, LOI received, or pending deployment in actual contract value
Who's building it

Meet the team that built the first agentic AI for women, circa 2019 ✦

CEO
Amanda Ducach
Amanda Ducach
Serial tech entrepreneur,
sales strategist
15+ yrs
CTO
Vish Sharma
Vish Sharma
Serial entrepreneur
Data scientist & architect
15+ yrs
CXO
Karishma Patel
Karishma Patel
Scrum-certified, CX
10+ yrs
CSO
Morgan Rose
Morgan Rose
WHNP-BC, CNM & IBCLC
15+ yrs
AI Biologist
Russ Foltz-Smith
Russ Foltz-Smith
OpenAI Ambassador,
Microsoft MVP
25+ yrs
Head of Finance
Chris Scudellari
Chris Scudellari
CPA, Partner at EY
for 40+ years
Medical Advisory Board
Peds & Internal Med advisor
Peds &
Internal Med
Lifestyle & Emergency Med advisor
Lifestyle &
Emergency Med
OBGYN advisor
OBGYN
Emergency Med advisor
Emergency
Med
Team alumni: BlueCross BlueShield, Microsoft, OpenAI, Clue, UChicago Medicine, Starbucks, Match, WolframAlpha, Marriott, EY
Why teams trust Ema

Recognized, awarded, and setting the standard.

Forbes: AI-Powered Women's Health — Ema's Mission To Combat Bias
Entrepreneur: These Founders Are Building Healthcare Companies for the People the System Keeps Missing
Forbes: 60% AI Failure Rate In Women's Health — Standards Are Coming
Serena Williams highlighting Reckitt Catalyst and Acumen America cohort
Forbes TIME Entrepreneur Fortune The Wall Street Journal
We are co-founders of the WHAI Consortium
WHAI Consortium
Willow Clue Carrot Fertility Center for Reproductive Rights Midi Health
AI Innovation of the Year 2025
The ask

We're raising a PRICED round.

$3.5Mraised to date
Backed by Curate Capital Hearst Lab, Kubera Venture Capital, Wormhole, Techstars, Emmeline Ventures, Victorum Capital, Acumen
Use of proceeds: clinical scale, enterprise distribution, and a path to profitability
0–12 MONTHS

Clinical infrastructure

Deepen medical content, guardrails, escalation protocols, and EHR-ready integrations.

→
12–24 MONTHS

Enterprise scale

Expand across health systems, diagnostics, pharma, and tech-enabled care.

→
24+ MONTHS

Self-serve + profitability

Launch a repeatable developer platform and convert clinical adoption into durable growth.

01 / 13