Datamonk, an Amsterdam-based healthtech startup, has raised €1.6 million in pre-seed funding to transform how hospitals handle decades of medical imaging data. The round was led by Healthy.Capital and Nina Capital, with participation from industry veterans Jeroen Tas and Harm-Jan Wessels, alongside early supporters Antler and Rabobank.
With the new funding, Datamonk plans to accelerate product development, enhance its automation capabilities, and expand its growing team of engineers and healthcare data specialists. The company’s long-term vision is to become the foundational data layer for modern healthcare, one where medical imaging data moves freely, securely, and intelligently between systems.
In an interaction with TFN, Jaap Gielink, CEO and co-founder of Datamonk, said: “We want to become the go-to platform for PACS migrations. In this way, we can power healthcare with clean and connected data.”
Built for healthcare data transformation
Datamonk was founded in 2024 by an experienced trio: serial entrepreneur Jaap Gielink, Jai Bhatia, co-founder of Viewics Inc. (acquired by Roche Diagnostics), and Matthew Condron, former CTO at DesAcc, a leading healthcare data migration consultancy. Together, they bring a unique blend of expertise in healthcare data, cloud infrastructure, and scalable software systems.
Gielink said, “I have been starting and scaling multiple AI & Data companies since 2012 and I also scaled a data management & data science company from 75 to 900 FTE in 4 years. I met one of my co-founders, Jai Bhatia, co-founder of Viewics Inc., a healthcare analytics platform acquired by Roche Diagnostics after Series B, through Y Combinator’s co-founder matching platform. Over our first coffee, we immediately clicked on our data vision and the way we want to build a company and culture.
Our other co-founder is Matthew Condron, the former CTO of leading healthcare data migration consultancy DesAcc. We were introduced to Matthew via a mutual friend. At the first meeting, we were immediately aligned, and Matthew’s 25+ years of experience in PACS migrations and healthcare data is a huge asset.”
The idea behind Datamonk
Detailing on the motivation behind this company’s origin, Gielink said, “In my time at the Data Management & Data Science company, I witnessed a very clear pattern: everyone wanted to buy AI & Data Science, but after the PoC, everyone came back for Data Management, which was crucial to get things working in production.”
Jai had a similar experience at Viewics Inc., where he found out that their core capability needed to be unlocking the data of new hospitals. At that time, it was a combination of a smart data pipeline and a big team of highly trained data engineers. In 2023, we started thinking: ‘What if we leverage AI for this?’, and began to explore this use case.
He went on to state, “Datamonk began as a platform to automate data migration with agentic AI across multiple industries. However, in 2024, we were approached by one of the world’s largest healthcare companies, which urged us to explore the challenges associated with PACS (Picture Archiving and Communication System) migration and consider how our technology could solve this issue.”
Tackles healthcare’s bottleneck
Hospitals and imaging providers hold decades of X-rays, CT scans, and MRIs in Picture Archiving and Communication Systems (PACS), and they need to move to new PACS to modernise, consolidate, and enable AI. But consultant-led migrations of millions of studies are slow and expensive, often taking a year or more to complete. It made perfect sense for Datamonk to specialise in healthcare, leveraging the team’s deep expertise in healthcare data, cloud technologies, and AI.
Datamonk directly addresses this pain point with a fully automated approach. Its platform leverages intelligent software agents to handle the tedious and complex migration process, including scanning, cleaning, and validating millions of records at unprecedented speed. This means hospitals can transition to new systems up to ten times faster, reducing both time and human resource expenditure.
What sets Datamonk apart from others?
The company focuses on improving data quality during migration. Rather than merely transferring files, its software agents actively detect and correct metadata inconsistencies, standardise study naming, and ensure data integrity throughout the process. This results in cleaner, more reliable datasets that are ready for use in clinical workflows, research, and advanced analytics.
The platform doesn’t just make migrations faster; it future-proofs medical data. By ensuring high-quality, well-structured imaging archives, hospitals can seamlessly adopt modern diagnostic tools, integrate with research databases, and prepare for the next generation of healthcare innovation. By combining automation with deep domain knowledge, Datamonk is eliminating one of the most persistent inefficiencies in hospital IT.
“Clean and connected data is the foundation for modern healthcare, from everyday clinical decisions to the deployment of new AI applications,” said Jaap Gielink, CEO and cofounder of Datamonk.“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.”
“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. The Datamonk team brings a rare mix of healthcare, data, and AI expertise to solve this problem at scale,” said Jeroen Tas, former Chief Innovation & Strategy Officer at Philips.
“Imaging data is one of the most technically demanding areas of healthcare IT, given its scale and complexity. Datamonk’s use of agentic AI offers a scalable way to standardize and migrate data, creating the foundation for interoperability and future innovation,” said Marta G. anchi, founder and Managing Partner at Nina Capital.
“Datamonk is solving a problem for every hospital and vendor. Datamonk’s platform will help keep radiology affordable and accessible. We are excited to back the team in their mission to power healthcare with clean, connected data,” said Douwe Jippes, co-founder and Managing Partner at Healthy.Capital.
