RYVER.AI develops generative AI models that produce diverse, synthetic radiology images intended to be indistinguishable from real scans. The technology aims to address biased medical-imaging datasets that lead to poorer AI diagnostic performance for underrepresented demographic and ethnic groups. Its models capture differences between patient groups, scanners and pathologies to generate new images for training and testing medical AI. Synthetic data is presented as a privacy-preserving alternative because it is not directly linked to real patients. The company offers its technology to startups as well as larger medtech and pharmaceutical firms. The recent funding will support expansion of the AI engineering team and cover computational costs for building advanced generative models.

Total raised

$1M

Funding rounds

1

Latest round

Seed

Latest activity

Dec 2023