According to EU-Startups, Mindoo, a Belgian healthcare AI startup founded in 2025, has secured €5 million in a Seed financing round. The investment was led by 6DC and Syndicate One, with participation from strategic angel investors. The company’s platform allows hospital teams to configure and deploy their own AI agents to automate routine tasks like patient intake, documentation drafting, and follow-up communications. Mindoo is already being used in hospitals across Belgium and Germany, with plans to expand to the Netherlands and France. The new capital will be used to mature its four core AI agents and grow its team of engineers and clinical specialists.
The Workflow Gold Rush
Here’s the thing: Mindoo’s funding isn’t happening in a vacuum. The report notes nearly €38 million has gone into similar European healthcare AI and digital tool startups just in 2025. You’ve got Jutro Medical raising a huge €24 million Series A extension, XUND getting €6 million, and smaller players like Elea and Punto Health all getting checks. This is a clear pattern. Investors aren’t just throwing money at flashy diagnostic AI anymore. They’re funding the boring, operational glue—the stuff that makes a hospital run day-to-day. It’s a smarter, maybe safer, bet. After all, a nurse will always need help with paperwork before they need an experimental AI radiologist. But does that mean it’s easy?
The Devil in the Deployment
Mindoo’s CEO, Gauthier Willemse, nailed the core challenge: “workflows in healthcare cannot be adapted to a product. The product has to adapt to existing workflows.” That’s the right philosophy, but man, is it hard to execute. The promise of letting hospitals configure their own agents sounds great for adoption. No one-size-fits-all solution being forced down their throats. But that’s also the biggest risk. Configurable systems can become fragmented, complex messes. Every department might set up their agent slightly differently, leading to inconsistencies and new errors. And CTO Bart Lens’s comment about agents behaving “predictably in real-world environments” is the entire game. Healthcare is the definition of an unpredictable environment. Can an AI agent really handle the weird edge case that walks in at 4:45 PM on a Friday?
The Long Road to “Essential Infrastructure”
Investor Lucas Stoops called automated workflow platforms “essential infrastructure for healthcare.” He’s probably right about the future. But we’re in the very, very early days of that journey. Getting a few reference sites in Belgium and Germany is a start, but scaling across borders with different regulations, languages, and health IT systems is a monumental task. The funding is decent for a Seed round, but it’s a drop in the bucket for what true “infrastructure” requires. They’ll burn through that €5 million faster than they think on integration specialists and security audits alone. And let’s be real: selling to hospitals is famously slow. The sales cycles are long, the stakeholders are many, and the fear of disrupting patient care is immense. Mindoo’s success hinges less on the tech and more on its patience and stamina.
A Cautious Optimism
So, is this a good bet? I think the focus is correct. Alleviating administrative burden is a tangible, immediate pain point. The founders seem to have the right mindset, emphasizing safety and governance over raw AI prowess. But the history of tech in healthcare is littered with products that worked in one hospital and failed everywhere else. The real test for Mindoo won’t be its next funding round. It will be when a major hospital in France or the Netherlands goes live, runs these agents for a full year, and can prove they actually saved time without creating new problems. Until then, it’s another promising player in a suddenly crowded and crucial field. The race to build healthcare’s operational brain is on.
