Evreon AI · Team
Evreon is built at the intersection of deep technical execution and clinical practice: two founders who build the whole system, and an advisory board of practising doctors who bring it into the hospital.
Founders
Co-Founder & CEO
Budapest · Budapest University of Technology and Economics
Mete leads Evreon end to end, from model training to clinical deployment. He built Project Atlas, the company's first product for emergency abdominal CT.
First author on the peer-reviewed Atlas study in the Journal of Imaging Informatics in Medicine. Computer Science Engineering at BME, originally from Ankara.
Co-Founder & CTO
London · Imperial College London
Kaan leads Evreon's machine learning and infrastructure, owning the model stack behind the imaging agents and the deployment that runs them.
A machine learning engineer focused on medical imaging, currently completing his MSc at Imperial College London.
Clinical & technical advisors
Radiology
Ankara Bilkent City Hospital
Abdominal, thoracic and neuroradiology. Guides Atlas clinical validation and the system's focus on explainability and real reading-room use. Co-author on the peer-reviewed Atlas study.
Neurology
Uzsoki Hospital, Budapest
A point-of-care clinician's view of where hospital workflows break. Shaped Evreon's infrastructure-first strategy: bridge into existing systems rather than replace them.
Medical Oncology & Internal Medicine
Ufuk University · Dr. Rıdvan Ege Hospital
Associate Professor in oncology, genetics and precision medicine, part of the Turkish Oncology Group network. Keeps the system grounded in complex multidisciplinary care.
Cardiology & Interventional Cardiology
Gülhane Training & Research Hospital
Professor of interventional cardiology with a focus on TAVI and cardiac genetics, and Managing Editor of the Gülhane Medical Journal. Brings senior academic rigor to clinical direction.
Medical AI & Speech Recognition
BME Speech Recognition Lab
Builds privacy-preserving Hungarian medical speech recognition that runs inside hospitals. Advises on on-device clinical AI and the speech and reporting layer beside imaging.
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