KAASA SOLUTION GMBH

Their core work

KAASA Solution GmbH is a German digital health SME building software platforms and data-driven tools for healthy aging and cognitive health management. Their work sits at the intersection of consumer-facing health applications and clinical-grade predictive analytics — they contribute technology components (apps, sensors, data pipelines) to large research consortia working on aging populations. In the LETHE project, they specifically work on personalized prediction models that identify dementia risk factors and deliver lifestyle-based interventions to delay cognitive decline. Their business value lies in translating research-grade AI models into deployable digital products that real patients and caregivers can use.

What they specialise in

How they've shifted over time

In their first H2020 project (my-AHA, 2016–2020), KAASA worked on a broad active-and-healthy-aging platform — the keyword data for that period is sparse, suggesting a generalist technology contributor role. By their second project (LETHE, 2021–2025), their focus had sharpened considerably: all available keywords point specifically to cognitive decline, dementia risk factors, and data-driven prediction — a clear narrowing toward neurohealth and AI-based clinical decision support. The trajectory shows a deliberate specialization from broad healthy aging into precision prevention of neurodegenerative disease.

KAASA is moving deeper into AI-based cognitive health — any future project involving dementia prediction, digital biomarkers for neurodegeneration, or personalized intervention in aging populations is a strong fit.

How they like to work

KAASA has participated exclusively as a consortium partner across both projects and has never taken a coordinator role, suggesting they prefer to contribute a defined technology component rather than manage a full consortium. With 29 unique partners across 16 countries in just two projects, they operate in large, diverse international consortia — typical of Horizon RIA health projects that bring together clinicians, technologists, and patient organizations. This points to a reliable specialist contributor: organizations that want a focused digital health technology partner, not a project manager.

KAASA has built a network of 29 unique partners spanning 16 countries through only two projects, indicating they join large, well-connected RIA consortia rather than small bilateral collaborations. Their European footprint is broad for an SME of this size, which is typical of health research projects that require clinical sites across multiple countries.

What sets them apart

KAASA occupies a specific and increasingly rare niche: a small German technology company that bridges AI/data science and consumer-facing digital health products within EU-funded clinical research consortia. Unlike university spin-offs or pure research institutes, they bring deployable software into research settings — which is exactly what large RIA projects need to demonstrate real-world impact. Their consecutive focus on aging and then specifically on dementia prevention gives them a credible, documented track record in one of the most underfunded and commercially urgent areas of European health.

Highlights from their portfolio

• LETHE
  Their most technically specific project — a personalized AI prediction model for early dementia detection — places KAASA at the frontier of digital neurohealth, one of the highest-priority areas in EU health research.
• my-AHA
  Their first and largest-funded project (EUR 446,209) established their credentials in large RIA consortia focused on aging populations, laying the groundwork for the more specialized LETHE work.