Headquartered in Nashville.
Rooted in deep medical AI expertise.

Yeji X helps value-based organizations surface the patients heading toward an avoidable cost event, then recommends the intervention most likely to improve outcomes and lower the cost of their care.

Yeji X serves independent value-based organizations carrying two-sided risk

Yeji X is built for independent, physician-led value-based organizations. These organizations carry real downside risk, run on a patchwork of systems that were never designed to talk to each other, and are judged on the cost of populations that don't sit inside any single record. That's the problem Yeji X was built to solve.

Prediction and intervention, in one recommendation

Most prediction tools read claims data and stop there. Others ask value-based organizations to build their own AI models. Both leave the next move to a care manager who's already stretched thin.

Proactive intervention has always been capped by how many care managers you can staff. Yeji X is the AI layer that reads each patient's EHR, imaging, and claims data together and delivers a ranked worklist with the next best intervention.

By putting the right patient, the right intervention, and the right timing in front of care managers, Yeji X extends the reach of the team you already have.

The science behind Yeji X

Medical AI research is led by a small number of groups worldwide, and several are based in Korea. Yeji X is advised by leaders from Seoul National University Hospital, KAIST, and the Korean Society of Artificial Intelligence in Medicine. That research bench is what Yeji X is built on.

US healthcare is its own discipline. ACO economics, two-sided risk, and care manager workflows are unique to the US. That's why Yeji X is based in Nashville. Andrew Rittler leads US go-to-market, and Yeji X is advised by leaders at Vanderbilt University Medical Center.

MICCAI 2026Chest X-ray diagnostic reasoningCHIL 2026Disease progression modelingLREC 2026Radiology report interpretation

Yeji X Leadership

David Jung

David Jung

CEO & Founder

David founded and leads Yeji X. As CEO of Promedius (Series B), he led the company's pivot and commercialization, and before that he led business development at Lunit, one of the world's leading medical AI companies, through its KOSDAQ IPO. At Yeji X, he drives the company's AI strategy and product vision.

Andrew Rittler

Andrew Rittler

Head of Business Development

Andrew Rittler brings four decades of healthcare leadership spanning the industry's most significant transformations—from prospective payment and HIPAA to electronic health records (EHRs), consumer health technology, interoperability, the 21st Century Cures Act, and today's AI-enabled value-based care.

The Team Behind Yeji X

Yeji X brings together experts in clinical research, artificial intelligence, technology, strategy, data science, software engineering, and healthcare operations to build AI-native intervention for value-based care.

Co-founders

Seungjun Ryu

Seungjun Ryu

Co-founder, Principal Scientific Strategist

Lucas Lim

Lucas Lim

Co-founder, Head of Tech Strategy

Jiyoung Choi

Jiyoung Choi

Co-founder, Head of Operations

Research & Development

Jackson Moon

Jackson Moon

Head of Research

Danny Kim

Danny Kim

AI Researcher

Jayden Kim

Jayden Kim

AI Researcher

James Heo

James Heo

Product Development

Strategic & Scientific Advisory Board

Yeji X is advised by a board of leaders across medical AI, value-based care, and healthcare innovation.

Kevin W. Sexton, MD

Kevin W. Sexton, MD

Professor and Vice Chair for Innovation, Vanderbilt University Medical Center

Edward Choi, PhD.

Edward Choi, PhD.

Professor, KAIST

Chang-Min Park, MD

Chang-Min Park, MD

Professor and Radiologist, Seoul National University Hospital; Chair, Korean Society of Artificial Intelligence in Medicine

Han-Mo Yang, MD

Han-Mo Yang, MD

Professor and Cardiologist, Seoul National University Hospital

Investors

Kakao VenturesSchmidt

See your population clearly.
Act on each patient confidently.

Yeji X reads each patient's EHR, imaging, and claims data together, surfaces the patients closest to an avoidable cost event, and recommends the next best intervention for each.

We're partnering with a small number of value-based organizations — including independent ACOs in REACH and LEAD — to prove what it can do.

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