The funding will support the development of an AI platform designed to clean and move large imaging datasets more efficiently than traditional methods.
Datamonk, a company developing an artificial intelligence (AI)-powered platform for automating medical imaging data migrations, has raised $1.9 million in pre-seed funding. The investment is intended to support platform development, advance its AI capabilities, and expand its team.
The funding round was led by Healthy.Capital and Nina Capital, with participation from angel investors including Jeroen Tas, former chief innovation and strategy officer at Philips, and Harm-Jan Wessels, founder of Applicare and Forcare.
Hospitals and imaging providers often face significant challenges when modernizing or consolidating their picture archiving and communication systems. Migrating decades of X-rays, computed tomography scans, and magnetic resonance imaging studies is typically a slow and expensive process, often taking a year or more to complete with consultant-led projects.
Datamonk’s platform uses agentic AI to automate these migrations while also improving data quality. The company states its software agents can detect and fix metadata issues, standardize study naming conventions, and validate data integrity during the migration. This approach is designed to help hospitals complete projects five to ten times faster and reduce the manual effort and cost associated with traditional methods.
“Clean and connected data is the foundation for modern healthcare, from everyday clinical decisions to the deployment of new AI applications,” says Jaap Gielink, CEO and co-founder of Datamonk, in a release. “We don’t just move imaging data, we clean it and make it usable so hospitals can trust it is ready for clinical workflows, research, and innovation.”
Investors noted that managing and moving large imaging datasets has been a persistent obstacle for healthcare providers seeking to adopt cloud technologies and new AI tools.
“Getting access to integrated diagnostic data and insights is critical for healthcare providers, but imaging data migrations to the cloud have been a major showstopper,” says Jeroen Tas, former chief innovation and strategy officer at Philips, in a release. “The Datamonk team brings a rare mix of healthcare, data, and AI expertise to solve this problem at scale.”
“Imaging data is one of the most technically demanding areas of healthcare IT, given its scale and complexity,” says Marta G Zanchi, founder and managing partner at Nina Capital, in a release. “Datamonk’s use of agentic AI offers a scalable way to standardize and migrate data, creating the foundation for interoperability and future innovation.”
