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.

AI is calibrated for men and applied to women.

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 company can trust and deploy.

InputAny frontier modelGeneral-purpose, male-baselined

→

EmaemaeqClinical rubrics · guardrails · 10M+ conversations

→

OutputA partner's productTrusted women's health experiences

Women’s health intelligence

Ema supercharges health and wellness outcomes (safely)

In women’s health, a raw model is only half the helix.

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

TL;DRThe LLM missed a woman having a heart attack. Ema didn't.

What partners build on Ema

Ema is the intelligence underneath the product, not a chat window on top of it.

Health education

Clinical assessments

Care navigation

EmaIntelligence layer

A relief plan built for her cycle, her diet, and the two evenings she can move.

A pumping schedule that fits her shifts, not a textbook.

The perimenopause supplement that matches her symptoms and her stage.

What the brand gets back

Every interaction becomes structured insight.

Ema unifies what users ask, assess, and act on across the partner experience.

Partner-owned data
from every interaction

18partners live in market

10M+user interactions with Ema

82%prefer Ema over Google for health questions

Partner deep dive · Aavia

Ema is what unlocks precision care.

Ema uses proprietary predictive analytics and agentic AI capabilities to anticipate what a user needs—resolving constraints and navigating to care that improves health outcomes.

What she tells Aavia

Eight weeks postpartum

Breastfeeding

Low mood most days

Missed her six-week check

History of anemia & heavy periods

What Ema resolves in the background

Postpartum depression risk

Missed postpartum visit

Iron status and prior anemia

Feeding and sleep load

What is safe for her / What has worked before

Ranked and resolved

Ema, always on

50+ profile signals resolved per plan, no conversation required

What she gets back

Her relief planBuilt for her, not her cohort

A positive PHQ-2 that moved her to a PHQ-9, with a rescreen scheduled

Her six-week postpartum visit booked around feeds

Ferritin panel flagged for her OB

Doubled30-day retention, 2× the industry standard

67.5%plan completion after Ema

30%drop in fatigue after a completed plan

Measured in-product, not modelled. Aavia, a cycle-tracking app with 200,000 monthly active users. Ema × Aavia partner case study, 2026.

Market

Total Addressable Market

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

Business focus

Consumer-driven products, wearables, and services.

SAM $250BAvg customer $250Ke.g. Julie

2

Diagnostics & pharma

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

SAM $150BAvg customer $500Ke.g. Let's Get Checked

3

Tech-enabled health

Telehealth, EE benefits, care communities, clinical trials.

SAM $100BAvg customer $350Ke.g. Patients Like Me

Sources: McKinsey, WHO, GlobalData, Fortune, Statista, Grand View.

Our Partners

What we built

We built what general-purpose LLMs won’t

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 model.

Trusted

No hallucinations, conflict detection, bias monitoring.

Transparent

Full Data Analytics Platform.

Reduced Risk

Human-in-Loop Quality Assurance. HIPAA & SOC 2 compliant.

Modular

Take one capability or the whole layer.

Ownership

The IP stays in our partners’ environment.

Financial status

We've already sold a lot of it.

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

Serial tech entrepreneur,
sales strategist
15+ yrs

CTO

Vish Sharma

Serial entrepreneur
Data scientist & architect
15+ yrs

CXO

Karishma Patel

Scrum-certified, CX
10+ yrs

CSO

Morgan Rose

WHNP-BC, CNM & IBCLC
15+ yrs

AI Biologist

Russ Foltz-Smith

OpenAI Ambassador,
Microsoft MVP
25+ yrs

Head of Finance

Chris Scudellari

CPA, Partner at EY
for 40+ years

Medical Advisory Board

Peds &
Internal Med

Lifestyle &
Emergency Med

OBGYN

Emergency
Med

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

We are co-founders of the WHAI Consortium

AI Innovation of the Year 2025

The ask

We're raising a PRICED round.

$3.5Mraised to date

Backed by

Hearst Lab, Kubera Venture Capital, Wormhole, Techstars, Emmeline Ventures, Victorum Capital, Acumen

This round takes us the rest of the way

STEP 01

Self-serve Ema

Developers build on Ema on their own — no hand-holding, no services layer.

→

STEP 02

Deeper into enterprise

A scalable go-to-market that moves Ema up-market, partner by partner.

→

STEP 03

Profitability

This is the round that gets us there.

Meet Ema.The women's health AI.

Ema turns general AI intowomen's health intelligenceany company can trust and deploy.