Dublin AI/IoT SME applying machine learning to human-robot manufacturing collaboration and continuous remote cardiac patient monitoring.
EUNOMIA LIMITED is a Dublin-based technology SME that applies machine learning, IoT, and data analytics to complex real-world environments — both on factory floors and in clinical settings. In manufacturing, they contribute AI-driven decision support and digital twin capabilities that enable flexible, human-centred robotic assembly. In healthcare, they build connected monitoring architectures that collect and interpret continuous patient data outside hospital walls, targeting conditions like heart failure with intelligent intervention systems. Their distinctive value is translating sensor-rich, real-world data streams into actionable predictions — a capability that travels across industrial and medical domains.
Machine learning appears as a core keyword in both FELICE (prescriptive AI for manufacturing) and RETENTION (intelligent interventions for heart failure), confirming it as their cross-domain foundation.
FELICE focuses directly on flexible assembly manufacturing with human-robot collaboration, ergonomics, multimodal perception, and computer vision.
RETENTION targets continuous heart failure patient monitoring outside hospitals using IoMT, big data, and real-world data pipelines.
FELICE explicitly lists digital twin models and cyber-physical systems as keywords, indicating hands-on modelling and simulation expertise.
Security and privacy are listed keywords in RETENTION, relevant to handling sensitive continuous health data from wearable and connected medical devices.
Both H2020 projects launched simultaneously in 2021, so the early/recent keyword split reflects thematic diversity across concurrent work rather than a true change of direction over time. The manufacturing-side project (FELICE) centres on physical-digital integration — robots, ergonomics, computer vision, and digital twins — while the health-side project (RETENTION) pivots toward continuous monitoring, real-world clinical data, and personalized interventions. The shared thread across both is machine learning applied to sensor-dense environments, suggesting EUNOMIA entered H2020 already positioned as a horizontal AI/IoT provider rather than evolving from a single domain.
EUNOMIA is building a cross-vertical AI/IoT identity — equally at home in industrial automation and regulated healthcare — which positions them well for future consortia that need a technology integrator bridging physical sensing, real-world data, and intelligent decision support.
EUNOMIA participates exclusively as a consortium partner and has never led an H2020 project, indicating they operate as a focused technical contributor rather than a project manager. Despite having only two projects, they have engaged with 25 unique partners — roughly 12 per project — pointing to integration within large, multi-stakeholder European consortia. This suggests they are comfortable navigating complex collaborative structures and delivering a well-scoped technical workpackage within a broader team.
EUNOMIA has connected with 25 unique partners across 9 countries through just two projects, a notably broad network for an organisation of this size. Their partnerships span both advanced manufacturing and digital health research communities across Europe.
EUNOMIA is rare among Irish SMEs in holding demonstrated, project-backed expertise simultaneously in industrial AI (collaborative robotics, digital twins) and clinical IoT (remote cardiac monitoring, medical-grade data pipelines) — two domains that rarely overlap in a single small company. This cross-domain capability makes them a practical choice for consortia building around the convergence of Industry 4.0 and digital health, or any project that needs an agile partner who can handle both sensor data engineering and intelligent inference. Their compact size means low overhead and high responsiveness, qualities that complement larger academic or industrial partners.
