Problem
Radiology departments face increasing imaging volumes and workforce constraints, which can lead to delays in reviewing and prioritizing CT studies within clinical workflows.
MedTech AI • Germany
AI-driven intelligence for radiology workflows
Research-driven • Secure • Clinically responsible
We are an early-stage MedTech company developing AI-based software to support radiology workflows.
- On-premise
- Hospital IT-ready
- Privacy-first
Replace
assets/hero-placeholder.jpg with your final artwork.What we do
We develop AI-based software to support radiology workflows by assisting with case prioritization and review after CT image acquisition.
Users
Radiologists, clinical teams in imaging departments, and hospital or imaging institutions.
Principles
Designed for secure environments, aligned with clinical responsibility, and built with future validation in mind.
Approach
Our software explores how AI-based methods can support radiology workflows after CT image acquisition by assisting with case prioritization and structured review processes.
- Machine-learning models applied to CT imaging data
- On-premise system architecture designed for hospital IT environments
- Workflow-level integration without reliance on external cloud services
Data stays within hospital infrastructure
The system is designed for deployment in hospital IT environments and aims to avoid transferring sensitive imaging data to external services.
Current stage
Early-stage R&D with a functional prototype and planned clinical pilots aimed at workflow evaluation and validation.
Regulatory position
Currently positioned for research and clinical decision-support use. In later stages, we intend to evaluate medical device classification under applicable EU regulations.
Note: This website describes an early-stage research and development effort and does not make performance or clinical outcome claims.
Contact
For partnerships, pilots, or general inquiries: