OneMedNet Corporation, a provider of regulatory decision-grade, AI-driven Real-World Data, has entered into an agreement to supply its regulatory-grade, multi-modal imaging-centric iRWD platform data for use in the development and training of a foundational AI model. Under the terms of the agreement, OneMedNet will provide high-quality, de-identified, regulatory-grade healthcare data, including millions of medical imaging records and associated clinical reports, with data delivery beginning immediately.
The initial agreement has a total contract value in excess of $11.5 million. The deal is expected to build on OneMedNet’s commercial momentum and expanding network, which now surpasses 90 million patient journeys and 270 million clinical studies across more than 2,300 healthcare sites.
OneMedNet’s iRWD platform enables secure, scalable delivery of multi-modal data optimized for AI training, regulatory submissions, and advanced analytics. The platform is powered by Palantir Foundry and supports applications ranging from drug development and regulatory submissions to foundational AI model training. The company serves life sciences companies, medical device manufacturers, AI developers, and other innovators seeking high-quality, compliant healthcare data.
KEY QUOTES:
“We believe this agreement represents a significant validation of OneMedNet’s unique capabilities in curating and delivering regulatory decision-grade Real-World Data at the scale and quality required for foundational AI model development. OneMedNet is uniquely positioned to deliver fully de-identified, regulatory-grade datasets through our secure, anonymized federated network of live data, enabling breakthrough AI innovation while upholding the highest standards of patient privacy and compliance.”
Aaron Green, CEO and President, OneMedNet
“Private data is what we believe will ultimately differentiate one foundational model from another, and healthcare data is among the most private and valuable. OneMedNet’s delivery platform provides live, longitudinal access to this data, with in-flight anonymization built in.”
Jeffrey Yu, MD, Chairman, OneMedNet
