Why We Invested in Apylon

Every year, over €450 billion in healthcare claims course through the fragmented infrastructure of Europe's private healthcare systems. Behind that figure lies a murky and manual process: hospital administrators navigating outdated EHRs, payers enforcing 50-page contracts with ambiguous rules, and providers losing 1.5–3% of revenue to claim denials, pricing mismatches, and documentation errors. It's a mess that's long been accepted as just the way things are. Apylon is here to change that.

By building an AI-native financial infrastructure layer for healthcare providers , Apylon is automating the most painful part of the payment lifecycle: claim validation. Their wedge is simple but powerful. Recover lost revenue through smarter, automated claims auditing.

A team of founders

Simon and Sebastian have spent over a decade at the heart of one of Europe's top founder clusters, Founders, which backed Pleo early and hired the founders of Synthesia and Tola before they started their companies. Simon is a structured operator and GTM architect with a knack for spotting talent. Sebastian is widely considered one of Copenhagen's best product designers, with a long history of elevating UX across multiple breakout startups. Niccoló rounds out the team as a seasoned engineer who spent the last decade scaling engineering teams at Zendesk.

None of them came up inside a hospital system. But they've earned their stripes building and investing in fintech and healthtech alike, including Wawa, Embla, and Hemi Health, and they bring the kind of outside discipline that this sector has rarely seen applied to its financial plumbing.

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From invoicing rulebooks to trust scores

At the heart of Apylon is a claims validation engine that ingests medical codes, payer contracts, invoicing data, and EHR inputs to assess the viability of each claim before it's ever submitted. Think of it as a clearinghouse with a brain: checking price accuracy, applying complex discount logic, referencing contractual clauses, and generating a claim trust score that predicts how likely a claim is to be accepted and reimbursed.

That machine learning engine unlocks a clear ROI for providers, making it straightforward to justify Apylon's take rate on the revenue it recovers. And with LLMs now reaching accuracy levels that simply weren't possible a few years ago, the timing is right.

Why now

Healthcare in Europe is undergoing a quiet transformation. Private insurance uptake is rising, hospitals are under strain, and digital workflows are finally becoming viable at scale. Breakthroughs in AI are making it possible to optimize workflows that previously required entire back offices. The company that best predicts claim validity will define the category.

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A wedge, and then a platform

Apylon starts with claims auditing: a clear, painful, measurable problem with a strong ROI. From there, the path outward is logical. The long-term vision is to become the financial infrastructure for European healthcare, spanning automated claims management, embedded payment rails, receivables financing, and real-time billing analytics.

If successful, Apylon will be the intelligence layer sitting between every provider and payer in Europe's growing private healthcare market, a market expected to grow from €400B to €700B over the next decade.

We're proud to back Apylon from day one alongside Calm/Storm and Founders and an exceptional group of angels:  Dr. Markus Gampert, Mark Edelhoff, Bjarke Klinge Staun, Laura Modiano, Marta Naidenova, Sune K-Holm Nielsen, Johannes Schildt, Lukas Eicher and Anders Hallin. We are excited to support them as they build the financial infrastructure that European healthcare has always needed.

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