Kerstin von Diemar
Co-Founder

cureVision provides an AI‑driven, contactless 3‑D wound scanning system that captures size, depth, tissue composition and temperature in about two minutes, automatically generating a standardized digital report. The handheld device integrates with electronic patient records via FHIR/GDT or one‑click PDF export, streamlining documentation for wound care specialists, nurses and physicians in hospitals, clinics, home‑care and long‑term care settings.
Raised to date
$1.1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Co-Founder
Healthcare providers spend excessive time manually measuring, photographing, and documenting chronic wounds, leading to inefficient workflows, higher labor costs, and delayed patient care. The process is prone to variability and hygiene issues due to contact-based tools.
cureVision offers an all‑in‑one, AI‑driven wound assessment system that captures 3‑D wound geometry, depth, tissue composition, and temperature without physical contact. A handheld device records high‑resolution images and thermal data, while embedded machine‑learning algorithms automatically calculate size, depth, and tissue percentages. The results are compiled into a standardized digital wound report that can be exported as a PDF or integrated directly into hospital information systems via FHIR/GDT interfaces. The workflow completes in about two minutes at the bedside, eliminating manual transcription, reducing hygiene risks, and enabling faster clinical decisions and tele‑medicine collaboration.
Primary users are wound care specialists, nurses, and physicians in hospitals, clinics, home‑care services, and long‑term care facilities who need rapid, standardized wound documentation.