Thesis · Proof Round ~€5M

Industrialising autonomous healthcare.

An AI-native governance layer, a public payer, and physical proof to deliver: robotics integration in Shenzhen, then a three-month field pilot in France. The opportunity in brief.

Market & margins

€500bn

Digital health market 2030

MedicalCity AI Whitepaper v2.0

€5.4bn

French APA budget · public payer

CNSA / DREES

70-75%

Target blended gross margin

~€5M

Proof Round target

Why now

Four converging curves.

01

AI has matured

Autonomous agents are operational.

02

Demographic shock

1.5 billion seniors by 2050.

03

Regulatory framework

GDPR, EU AI Act, APA as a universal right.

04

Capital is flowing

€24.5bn of VC in digital health in 2023.

Use of funds

Where the ~€5M goes.

€1.48 – 1.98M

A · Proof programme

Integration in Shenzhen, field pilot in France

≈ €3.27M

B · Scale readiness

Split on the use-of-funds ratios approved for the round

  • Go-to-market & commercial ≈ €1.31M 40%
  • Engineering & product ≈ €1.14M 35%
  • Regulatory & compliance ≈ €490k 15%
  • Working capital ≈ €196k 6%
  • Legal & closing ≈ €131k 4%

Line-by-line breakdown on the Investors page — working budget, to be reconciled with signed quotes and contracts.

The data room details the model and assumptions.

Request access