Coordinated eLive.care (2019), an SME Phase 1 feasibility study on digitalising personal health management to reduce costs and improve individual care.
ELIVE ECOSYSTEM OY
Finnish health-tech SME combining digital self-care platforms with radar, LiDAR, and edge AI for human monitoring.
Their core work
ELIVE ECOSYSTEM OY is a Finnish technology SME that works at the intersection of digital health and intelligent sensing systems. Their early work centered on self-care digitalization — building platforms that reduce healthcare costs by empowering individuals to manage their own health. They then expanded into next-generation perception technologies, contributing to a large European research project deploying radar, LiDAR, and time-of-flight sensors combined with edge AI to monitor humans in real-world environments. The connecting thread across both areas is human-centered monitoring: whether through health apps or distributed sensor networks, their focus is on understanding and responding to human states and behaviors.
What they specialise in
Participated in NextPerception (2020–2023), a RIA project developing next-generation smart sensors for proactive human monitoring.
NextPerception explicitly lists distributed intelligence and edge computing as core technology areas, indicating on-device processing of sensor data rather than cloud-dependent architectures.
Explainable AI is listed as a keyword in NextPerception, suggesting interest in interpretable machine learning outputs for safety-critical or health-relevant sensor applications.
How they've shifted over time
Their first H2020 project (2019) was squarely in digital health services — a software and business model play around self-care digitalization, with no hardware or sensor component visible in the data. By 2020 they had joined a substantially larger, longer RIA project deploying physical sensing hardware (radar, LiDAR, ToF) alongside AI inference at the edge. This shift suggests the company either broadened its technology base or found that sensor-driven monitoring was a stronger fit for the human health and safety problems it had already identified. Both phases share a focus on monitoring humans; what changed is the layer — from application-level health platforms to the sensor and AI infrastructure underneath.
They appear to be moving toward sensor-integrated health and safety monitoring, combining hardware perception (radar, LiDAR) with on-device explainable AI — a direction with strong commercial relevance in elder care, workplace safety, and autonomous systems.
How they like to work
ELIVE ECOSYSTEM OY has played both roles in its short H2020 history: coordinator on a small SME Phase 1 feasibility study and participant in a larger RIA consortium. The RIA project (NextPerception) accounts for most of their 43 unique consortium partners, suggesting they joined a broad, multi-country research team as a specialist contributor rather than anchoring a network themselves. This pattern — leading small exploratory work, contributing specialist expertise to larger consortia — is typical of innovative SMEs that use EU funding both to validate their own concepts and to embed in larger technology ecosystems.
Despite only two projects, ELIVE ECOSYSTEM OY has connected with 43 unique partners across 7 countries, driven primarily by its participation in the large NextPerception RIA consortium. Their network is European in scope with no indication of a strong geographic cluster beyond Finland.
What sets them apart
ELIVE ECOSYSTEM OY occupies an unusual niche as a Finnish SME that bridges consumer digital health (self-care apps and platforms) with industrial-grade perception sensing technologies. Few companies combine validated SME-instrument experience — which signals commercial readiness and market validation — with participation in a multi-million-euro RIA project on next-generation sensors. For a consortium building a project that needs to translate sensor or AI technology into real health or safety applications for end users, they offer a rare combination of commercial health-market understanding and deep technical sensor expertise.
Highlights from their portfolio
- NextPerceptionA multi-year RIA project (2020–2023) covering radar, LiDAR, time-of-flight, edge computing, and explainable AI for human monitoring — the broadest and most technically dense work this organisation has done, with EUR 70,050 received as a participant in what appears to be a large consortium.
- eLive.careCoordinated as SME Phase 1 (2019), demonstrating independent project leadership and a defined commercial concept around health-cost reduction through digitalisation, which is the foundation of their business identity.