ENCORE LAB SL

Their core work

ENCORE LAB is a Spanish technology SME based in Logroño that builds intelligent monitoring and adaptive embedded systems — software and hardware solutions that sense, process, and respond to real-world conditions autonomously. Their demonstrated work spans two distinct domains: patient safety (a self-adaptive night-time seizure detection and alert system for epilepsy caregivers) and precision agriculture (cloud-connected autonomous farming with cyber-physical systems, livestock monitoring, and farming robots). The common thread across both domains is adaptive sensor intelligence applied in time-critical, real-environment contexts. As a small company that has both led EU projects and joined large research consortia, they appear to operate as a technology developer with end-to-end prototyping capacity.

What they specialise in

How they've shifted over time

ENCORE LAB's first H2020 project (SEIZSAFE, 2016–2019) was entirely focused on health technology — specifically a wearable or ambient patient-monitoring system for epilepsy caregivers, with no recorded keywords pointing to agriculture or robotics. Their second project (AFarCloud, 2018–2021) marks a sharp pivot toward precision agriculture and autonomous cyber-physical systems, with all documented keywords belonging to that domain. Whether this represents a genuine strategic shift toward agri-tech, or simply an opportunistic expansion of their sensor/IoT platform into a new sector, cannot be determined from two projects alone.

ENCORE LAB appears to be moving from health monitoring toward agricultural automation, likely applying the same adaptive sensing platform to a sector with higher commercial scalability — making them a potential partner for future agri-tech or rural IoT projects.

How they like to work

ENCORE LAB has acted as both project coordinator (SEIZSAFE, SME Instrument Phase 2) and consortium participant (AFarCloud, RIA). As coordinator on SEIZSAFE, they led an SME-focused innovation project end-to-end, signaling business and project management capacity beyond pure R&D. Their participation in AFarCloud — a large RIA with 60 unique partners across 13 countries — shows they can integrate into complex, multi-partner consortia as a specialist contributor. Their network breadth relative to only two projects is unusually wide, which likely reflects the large AFarCloud consortium rather than sustained partner relationships.

ENCORE LAB has connected with 60 unique consortium partners across 13 countries through just two projects — a network footprint that is large relative to their project volume, almost entirely attributable to the AFarCloud RIA consortium. Their geographic reach is European, though their home base in Logroño (La Rioja, Spain) gives them potential proximity to agriculture-heavy regions in Spain and southern Europe.

What sets them apart

ENCORE LAB is one of the few Spanish SMEs in the H2020 dataset that has successfully led a health-tech innovation project (as SME Instrument Phase 2 coordinator) while also contributing to a large precision-agriculture RIA — making them a rare cross-domain embedded systems developer with both clinical and agricultural deployment experience. For a consortium builder, this means ENCORE LAB can bring an adaptive sensing platform that has already been pressure-tested in two very different real-world contexts, not just in a lab. Their SME profile also makes them eligible for SME-quota slots and fast-moving innovation actions where large research institutes are overrepresented.

Highlights from their portfolio

• SEIZSAFE
  ENCORE LAB's largest project (EUR 599,462) and the one where they served as coordinator — a patient-adaptive night-time seizure detection system funded under SME Instrument Phase 2, which is among the most competitive EU SME funding tracks.
• AFarCloud
  A large-scale RIA bringing together 60+ partners to build cloud-connected autonomous farming infrastructure, giving ENCORE LAB exposure to cyber-physical systems, farming robots, and multi-country agricultural IoT deployment.