Epsilon Health, an AI-native radiology practice, has emerged from stealth with $27.6 million in funding to address the worsening shortage of radiologists across the United States. The round was led by AlleyCorp, with participation from Uncork Capital, Renegade Partners, SemperVirens, and Jack Altman. The company is already processing a substantial volume of imaging studies and aims to expand a model that combines artificial intelligence with board-certified radiologists to improve timely patient care and speed up diagnostic turnaround times.
Tackling a Critical Shortage
Medical imaging is a foundational pillar of the United States healthcare system, with an estimated 75 percent of all medical decisions relying on radiology to diagnose and treat disease safely and rapidly. Yet the country continues to face a critical shortage of radiologists even as demand for medical imaging surges across all settings. These growing bottlenecks delay treatment precisely when timely patient care matters most, creating an urgent nationwide need for new clinical delivery models.
A Different Approach to AI
Epsilon Health did not build artificial intelligence models for a single disease or imaging modality, which is the approach used by many existing radiology AI companies. Instead, the company became the radiology practice itself, integrating purpose-built AI directly into the work of board-certified radiologists. This integration is designed to accelerate clinical workflows, expand radiologist capacity, and generate a proprietary dataset of real-world clinical cases that improves its models over time through continuous feedback.
Rapid Clinical Traction
Epsilon Health has already served more than a quarter-million patients and currently processes over 2,500 imaging studies each day. The company is on track to review one percent of all daily X-rays in the United States in 2026, a milestone that reflects its rapid clinical adoption. It also handles more than half of the imaging volume for one of the nation's largest outpatient imaging providers, demonstrating significant scalability in a short period.
Leadership with Clinical and Technical Depth
The company's leadership combines frontier artificial intelligence research with substantial clinical expertise and operational experience. Its head of machine learning previously led research at Google DeepMind, while its chief medical officer formerly served as chief medical officer and chief of strategy at Envision Radiology. That organization is the nation's second-largest radiology group with more than 500 radiologists, providing Epsilon Health with deep clinical insight and a strong foundation in high-volume radiology services.
Plans for the New Capital
The $27.6 million in new funding will be used to accelerate Epsilon Health's market expansion and support its growing practice. The company plans to invest in hiring, expanded clinical partnerships, and new infrastructure investments to serve more patients across the country. These resources are expected to help the company advance its mission of delivering timely, high-quality diagnostic expertise through a combination of artificial intelligence and physician oversight.
Epsilon Health's emergence from stealth highlights a broader shift toward artificial intelligence as a practical response to healthcare workforce shortages. By positioning itself as a full radiology practice rather than a narrow software vendor, the company is testing a model that could reshape how diagnostic care is delivered across the United States. With early traction and fresh capital, Epsilon Health is well positioned to demonstrate whether AI-native clinical practices can reduce bottlenecks while maintaining quality and consistency for patients.