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# NVIDIA to Invest in Avelios, Building the Clinical App Store
- URL: https://marginsofcare.com/nvidia-to-invest-in-avelios-building-the-clinical-app-store/
- Published: 2026-10-21T20:14:01.000Z
- Updated: 2026-10-21T20:14:01.000Z
- Author: Eva Worst

NVIDIA is planning an investment in Avelios, from their [website](https://www.avelios.com/en/blog/avelios-scales-ai-native-healthcare-with-nvidia) (emphasis mine):

> Munich, 19 October 2026 – Avelios Medical, the Munich-based healthtech company, is building the AI-native operating system for European healthcare, backed by a planned investment from NVIDIA. The planned investment marks another major milestone in Avelios’ growth, accelerating its scale-up to bring enterprise-grade software to more hospitals. It also highlights Europe’s important role in the global AI race as a hub for secure, privacy-focused and responsibly regulated innovation.

> Avelios believes the next generation of healthcare will not be defined by individual AI applications, but by the intelligent infrastructure connecting them. As increasingly powerful AI solutions emerge for documentation, diagnostics, clinical decision support, and hospital operations, **the challenge is shifting from developing individual models to bringing them into practice** in a way that actually changes how care is delivered.

NVIDIA is investing in a bunch of MedTech companies [across Europe](https://marginsofcare.com/nvidia-invests-in-doctolib-open-source-and-value-migration/) and [in the US](https://press.siemens.com/global/en/pressrelease/siemens-partners-nvidia-advance-ai-driven-autonomous-factories), so this is nothing new. NVIDIA benefits greatly from the development of more models that use their GPUs. And to stimulate that activity, they are happy to supply companies with “training” GPUs, which is the biggest cost factor. The result is not just more models to train, but more importantly - continuous inference when those models get deployed in the workflow. The open-source / open-weights model strategy, which [I discussed on Monday](https://marginsofcare.com/tandem-health-launches-sovereign-health-software-dependencies-the-open-source-playbook/) and which NVIDIA also follows, is further accelerating that reality.

However Avelios, similar to [Heidi](https://marginsofcare.com/best-vs-most-integrated-product-heidis-achilles-heel/) and [Corti](https://marginsofcare.com/dedalus-wants-to-orchestrate-keeping-microsoft-out-cortis-playbook/), is less interested in developing its own models as they are in integrating and orchestrating them. Avelios wants to be the connective tissue that brings different AI applications together, which they do via their [Clinical App Store](https://www.avelios.com/en/platform/digital-infrastructure).

The Clinical App Store is an idea I wrote about [a month ago](https://marginsofcare.com/germanys-healthcare-chaos-and-opportunity-microsofts-app-store-case/) in the context of Microsoft, before I knew Avelios is already executing on it:

> I pitched the idea about agentic interfaces becoming the main place where clinicians workflow and how that means that most of the clinical applications will disappear in the backend, losing some of their previous brand power and differentiation. This was the bear case. But there is also a bull case where the agentic interface not only connects with the rest of the stack, but also serves as a distribution channel for new apps to enter. 

> And this is where Microsoft has a considerable advantage as the only major cloud provider that is both GDPR compliant and actually in wider use in German hospitals, and that also happens to offer all the leading LLMs within Azure. 

> The same complexity that was serving as a moat against rivals to HIS incumbents like SAP, Oracle and Dedalus, can now be Microsoft's moat to do just the opposite - invite competition, give it distribution, make sure it is compliant and collect a fee for it. It is what Apple does with the App Store and it created the mobile app market as we take for granted today. Microsoft notably missed the mobile app era, but they might have just the right timing and position to take advantage of the LLM era, at least in healthcare.

The fact is that opening the gate to more AI applications, which are supposed to work seamlessly in a single interface, is something that requires extensive testing and thus extensive computing. If Avelios is to successfully pull that off, they’d need access to GPUs and NVIDIA is more than incentivised to respond to that need, which will allow them to have their cake and eat it too.

Still, kudos to Avelios for going for it!