Evolution of Cardiovascular Care with AI
We close cardiovascular care gaps through timely and accurate diagnoses.
Our AI powers proactive and preventive care for clinicians and patients.
AI for Faster, Smarter and More
Reliable Cardiovascular Diagnostics
Our solution delivers real‑time cardiovascular insights—whether it’s automating echocardiography measurements, detecting critical ECG findings, or unifying multimodal data for holistic decision support.
Evom Echo
AI automatically measures 30‑60 echo parameters in seconds and drafts standardized reports—cutting scan time and boosting lab throughput.
Evom ECG
Instantly flags STEMI, STEMI‑equivalents and other critical abnormalities—accelerating triage and reducing false positives.
Multimodal Insights
Combines echo, ECG and clinical data to deliver comprehensive cardiovascular risk assessment and decision support—all in one view.
AI‑Powered Cardiovascular Innovation,
Engineered by Experts
Our world‑class team blends cardiology, AI research, and full‑stack engineering to deliver precise, efficient, and clinically proven solutions that improve patient outcomes.
Clinical-Driven Cardiovascular AI Expertise
From ultrasound and ECG to multimodal integration, we focus on clinical needs—delivering accurate diagnostics, validated models, and seamless deployment to improve patient care.
Cutting‑Edge Research & Innovation
Published in top AI conferences (CVPR, ICCV, NeurIPS) and medical journals (Lancet Digital Health, JAMA). Our breakthroughs set the bar for clinical AI performance.
Advanced AI Engineering
We build robust MLOps and inference infrastructure that scales across on‑prem and cloud, ensuring seamless integration into hospital workflows.
Meet Our Team
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.
Hyeonseob Nam
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.
HyunJae Lee
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.
Hyunsuk Yoo
CMO
M.D. from Seoul National University, M.S. from MIT, B.S. from Stanford. Former Medical Director at Lunit. Led clinical AI research and international reference site establishment (MGH). Published multiple research papers in top medical journals and conferences.
Janice Jung
COO
B.S. in Biomedical Science from University of Pennsylvania. Former VP of Business Development at Lunit, specializing in global sales, marketing, and partnerships for medical AI. Led commercialization efforts across the US, Latin America, and Asia Pacific, and secured major partnerships with governments, hospitals, and leading healthcare companies.
Seoyoon Kang
Head of Regulation & Market Access
B.S. in Nursing Science from Korea University. Former Medical Writer at Lunit, leading FDA, CE, and MFDS submissions and securing multiple global SaMD approvals. Subsequently led regulatory, clinical, and quality affairs at Promedius, shaping regulatory and market access strategies across the US, Europe, and Asia Pacific.