Revolutionizing Cardiovascular Care
with Autonomous AI
We close cardiovascular care gaps through timely and accurate diagnoses. Our autonomous AI powers proactive and preventive care for clinicians and patients.
Revolutionizing Cardiovascular Care
Autonomous AI for Faster, Smarter and More
Reliable Cardiovascular Diagnostics
Our platform delivers real‑time cardiovascular insights—whether it’s automating echocardiography measurements, detecting critical ECG findings, or unifying multimodal data for holistic decision support.
Auto‑Echo
AI automatically measures 30‑60 echo parameters in seconds and drafts standardized reports—cutting scan time and boosting lab throughput.
Auto‑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.
