AI-Healthcare
Venture Studio.Building the next 35 companies.

We design, found and capitalize AI-native healthcare ventures from first principles. Shared infrastructure replaces the $3–5M of validation burn that kills most seed-stage startups.

$50M
Fund I target
35
Ventures / 4 years
30–45%
Studio equity
10–15x
Target net MOIC
$188B
AI-health market 2030
37%
CAGR (2024–2030)
950+
FDA-cleared AI devices
6
Thesis pillars
THE STUDIO MODEL

We don’t invest in startups. We build them.

A venture studio absorbs founder, technology and validation risk inside the studio — before external capital is committed.

01

Ideate

Thesis-driven concepting with clinical KOLs. 20+ concepts per quarter — only 2–3 advance through our scoring framework.

02

Validate

60–90 day sprints: clinical validation, customer discovery, technical feasibility. 3–5 signed LOIs trigger formation.

03

Build founding team

We pair clinicians with technical co-founders from our EIR pipeline — manufacturing the bilingual founders this space demands.

04

Formation capital

$500K–$1M formation check. Studio retains 30–45% equity. Shared infrastructure means capital goes to scale, not setup.

05

Scale

HIPAA-native data platform, clinical partnerships, regulatory counsel, MLOps — every venture launches with 12+ months of infrastructure.

06

Spin out

At product-market fit, the venture transitions to board oversight. Studio exercises pro-rata through Series A. Target 40–50% graduation.

SIX THESIS PILLARS

Where the $50M goes.

Six concentrated verticals. No more than 30% of capital in any single pillar.

PILLAR 01

Clinical AI

Ambient documentation, clinical reasoning copilots, specialty diagnostic assistants, physician workflow.

PILLAR 02

AI drug discovery

Protein engineering, target identification, ADMET prediction, wet-lab-in-the-loop platforms.

PILLAR 03

Diagnostic AI

Radiology, pathology, multi-modal diagnostics, point-of-care imaging, ambient diagnostic capture.

PILLAR 04

Operational AI

Revenue cycle, prior authorization, claims adjudication, staffing optimization, patient access.

PILLAR 05

Patient-facing AI

Engagement, adherence, chronic-disease coaching, mental health, remote monitoring, navigation.

PILLAR 06

AI infrastructure

HIPAA-native data pipelines, model governance, clinical evaluation, synthetic data, compliance tooling.

WHY A STUDIO

Traditional VC struggles here. Studios don’t.

The bilingual founder is rare. We manufacture them. The first-round burn is brutal. We absorb it.

Traditional seed VC

Equity at formation15–20%
Founder sourcingInbound / network
Time to first revenue18–30 months
Capital to PMF$3–7M
Series A graduation~25–30%
Shared servicesNone

EBDA Ventures

Equity at formation30–45%
Founder sourcingPurpose-built pairings
Time to first revenue9–15 months
Capital to PMF$1.5–3M
Series A graduationTarget 40–50%
Shared servicesClinical, regulatory, data, MLOps, GTM
LEADERSHIP

Meet the General Partner.

Emilio Escartin

Emilio Escartin

General Partner & Founder

Operator-investor bridging AI and healthcare. Emilio brings deep experience across venture building, pharmaceutical investment, healthcare technology and capital markets — the combination required to build category-defining companies at the intersection of artificial intelligence and clinical practice.

Role
General Partner
Focus
AI × Healthcare
GP commit
2% of fund
Based in
United States
FUND I IS OPEN

The founders-class window closes July 2026.

Reduced management fee for the first $20M of commitments. Minimum ticket $250K. Available to accredited investors and qualified purchasers.