SURVEIRON (phases 1 and 2) focused on UAV-based automatic detection for urban security, and ROCSAFE applied remote assessment to CBRNe scenes.
AEORUM ESPANA S.L.
Spanish SME developing AI and drone-based automated surveillance, inspection, and predictive maintenance systems for security and railway infrastructure.
Their core work
AEORUM is a Spanish technology SME specializing in AI-powered surveillance and inspection systems, particularly using drones (UAVs) and computer vision. They develop automated detection and monitoring solutions for two distinct domains: security of urban spaces and critical infrastructure, and predictive maintenance for railway systems. Their core technical capability is applying artificial intelligence and image analysis to remote sensing data, whether from drones surveilling public spaces or inspecting railway signalling equipment.
What they specialise in
Computer vision and automatic detection are core across SURVEIRON and RADIUS, applied to both security surveillance and railway infrastructure monitoring.
RADIUS (2021-2024) applies drone-based AI inspection to railway signalling and maintenance, marking a pivot to transport infrastructure.
SURVEIRON phases 1-2 targeted protection of urban soft targets and critical infrastructures using advanced surveillance.
How they've shifted over time
AEORUM began (2014-2018) squarely in the security domain, developing AI-driven drone surveillance for protecting urban soft targets and critical infrastructure through the SURVEIRON project, which they coordinated through both the feasibility (SME-1) and full implementation (SME-2) phases. By 2021, they pivoted toward applying the same core technologies — drones, AI, computer vision — to railway digitalization and predictive maintenance with the RADIUS project. The through-line is clear: automated remote inspection via UAV and AI, but the application domain has shifted from security to transport infrastructure.
AEORUM is transitioning from security-focused surveillance toward industrial infrastructure inspection, suggesting future work will likely center on AI-driven predictive maintenance for transport and utilities.
How they like to work
AEORUM operates as both a project leader and a contributing partner, with an even split of 2 coordinated and 2 participated projects. Their coordinated projects were SME Instrument grants (phases 1 and 2), which are solo or small-team efforts, while their participated projects involved larger consortia. With 18 unique partners across 5 countries, they maintain a moderately broad network for an SME of their size, suggesting they are comfortable joining diverse consortia while also capable of leading their own innovation trajectory.
AEORUM has collaborated with 18 distinct partners across 5 European countries, building a modest but geographically diverse network spanning security and transport sectors. Their partnerships reflect a mix of consortium participation and independent SME Instrument work.
What sets them apart
AEORUM combines drone operations, computer vision, and AI into integrated remote inspection systems — a technical package that bridges security and industrial maintenance domains. Their progression from SME Instrument Phase 1 through Phase 2 with SURVEIRON demonstrates a validated product trajectory, not just research participation. For consortium builders, they bring a rare combination: an SME with hands-on experience in both autonomous UAV deployment and real-time AI-based detection, applicable across multiple sectors.
Highlights from their portfolio
- SURVEIRONProgressed through both SME Instrument phases (feasibility + full development) with EUR 1.79M total, demonstrating EU confidence in their drone surveillance product.
- RADIUSMarks their strategic pivot to railway digitalization using drones, combining AI inspection with predictive maintenance for transport infrastructure.
- ROCSAFEParticipation in CBRNe forensic examination shows their remote sensing and assessment capabilities extend to hazardous scene analysis.