AI for Healthcare - Built by Researchers, Trusted by Clinicians
Our founder's PhD research in histopathology and medical imaging gives us deep domain expertise in healthcare AI. We build systems that clinicians trust - because we understand both the science and the regulations.
Triple Compliance Framework
Healthcare AI operates at the intersection of three major regulations. We ensure compliance with all of them.
EU AI Act
Healthcare AI is classified as high-risk. Full compliance required by August 2027 - including risk management, data governance, technical documentation, and human oversight.
Medical Devices Regulation (MDR)
AI systems used for diagnosis or treatment may qualify as medical devices under MDR. We design systems with MDR classification in mind from day one.
GDPR
Patient data is among the most sensitive. We implement privacy-by-design architectures including on-premise deployment, data minimization, and anonymization pipelines.
Healthcare AI Use Cases
Computer Vision for Diagnostics
Automated analysis of medical images - from histopathology slides to radiology scans. Our models assist pathologists and radiologists with faster, more consistent assessments.
Medical Document Intelligence
Extract structured data from referral letters, lab reports, and discharge summaries. Reduce manual data entry by 90% while maintaining accuracy and GDPR compliance.
DICOM Pipeline Integration
Integrate AI analysis directly into your DICOM imaging workflow. Our systems work with existing PACS infrastructure - no disruption to clinical processes.
Clinical Decision Support
AI-powered tools that help clinicians make better-informed decisions - with full transparency into the reasoning and always keeping the human in the loop.
Ready to Get Started?
Book a free consultation to discuss your AI project.