We empower medical researchers, clinicians, and AI developers with a cutting-edge medical AI agent built on large-scale foundation models, accelerating the advancement of predictive and preventive medicine.
Our medical AI Agent streamlines data preprocessing, model development, and validation, enabling faster and more accurate AI-driven healthcare solutions. Designed for reliability and efficiency, it empowers medical professionals and researchers to accelerate discoveries and improve patient outcomes.
Our AI agent efficiently cleans, organizes, and structures medical data, ensuring high-quality inputs for accurate analysis and model training.
We automate and optimize the creation of AI models, leveraging advanced algorithms to enhance performance and adaptability for various medical applications.
Through rigorous testing and evaluation, our AI agent ensures that models meet the highest standards of accuracy, reliability, and clinical relevance before deployment.
At Evom AI, our team of world-class AI and medical experts develop high-performance AI solutions designed for precision, efficiency and real-world impact. From research to clinical deployment, our technology ensures unmatched accuracy and reliability—empowering the future of healthcare.
With deep expertise across the entire AI pipeline, from data processing, model development to clinical deployment, we have extensive experience in various imaging modalities, including X-ray, CT, MRI and pathology.
Our research is featured in top AI conferences like CVPR, ICCV, and NeurIPS, as well as leading medical journals such as The Lancet Digital Health, Jama Network Open and Clinical Oncology. Our innovations are shaping the future of AI-driven healthcare.
We develop robust AI infrastructure that streamlines medical data processing, automates large-scale model training and validation, optimizes inference systems, and enables seamless deployment across on-premise and cloud environments.
A team of experts dedicated to revolutionizing medicine with AI backed by extensive AI research experience with over 10,000 citations, deep expertise in optimizing AI performance and vast experience in medical AutoML systemization.
CEO
B.S. & M.S. in Computer Science from POSTECH. Former AI Researcher at NAVER & Lunit. Previously CTO at Mediwhale, leading AI R&D for disease prediction. Published multiple papers and won awards in medical AI research.
CTO
B.S. & M.S. in Computer Science from Seoul National University. Led AI development for 3D Mammography at Lunit. Designed and built AutoML & AI R&D automation platforms. Published multiple medical AI research papers and competition-winning models.
