WELLICS LTD

Their core work

Wellics is a London-based technology SME specializing in digital health solutions and healthcare data security. They develop wearable monitoring systems, machine learning tools for brain disease diagnosis, and secure data management platforms for clinical environments. Their work spans from hardware-adjacent sensor technologies (lung monitoring wearables) to AI-driven analytics for neurological conditions like Parkinson's, Multiple Sclerosis, and stroke. They bridge the gap between medical device data and actionable clinical intelligence.

What they specialise in

How they've shifted over time

Wellics entered H2020 in 2019 with hardware-oriented health tech — wearable lung monitoring sensors and EIT devices (WELMO). By 2020-2021, their focus shifted decisively toward software and AI: healthcare cybersecurity (HEIR) and machine learning for neurological disease diagnosis (ALAMEDA). The trajectory shows a clear move from body-worn sensors toward data intelligence and secure digital health platforms.

Wellics is moving from hardware-centric health monitoring toward ML-based clinical decision support and secure health data platforms — expect future work at the intersection of AI diagnostics and healthcare IT security.

How they like to work

Wellics operates exclusively as a participant, joining established consortia rather than leading them. With 40 unique partners across 16 countries from just 3 projects, they work in large, multi-national research consortia typical of RIA-funded health and security projects. This pattern suggests they serve as a specialist technology contributor brought in for specific digital capabilities rather than driving project direction.

Despite only 3 projects, Wellics has built a broad network of 40 partners spanning 16 countries, indicating involvement in large pan-European consortia. Their connections are spread widely rather than concentrated in any single geographic cluster.

What sets them apart

Wellics sits at a rare intersection: they understand both health monitoring hardware (wearables, sensors) and the software layer above it (ML analytics, cybersecurity). This dual competence makes them valuable for projects that need to move data securely from body-worn devices to clinical AI systems. For consortium builders, they offer a single partner who can address the wearable-to-insight pipeline in digital health.

Highlights from their portfolio

• ALAMEDA
  Largest funding share (EUR 574K) and ambitious scope combining ML, IoT, and shared decision models for three major brain diseases — Parkinson's, MS, and stroke.
• HEIR
  Addresses the underserved niche of healthcare-specific cybersecurity, including real-time threat hunting for medical IT environments.
• WELMO
  Hardware-focused project using Electric Impedance Tomography wearables for lung monitoring — shows the company's roots in sensor technology before pivoting to AI.