Central theme across AQUAS (quality assurance for systems), VALU3S (V&V of automated systems' safety), and FOCETA (continuous engineering of trustworthy autonomy).
R G B MEDICAL DEVICES SA
Madrid-based SME specializing in verification, validation, and safety assurance of automated and AI-driven systems across embedded and IoT platforms.
Their core work
Despite its name suggesting medical devices, RGB operates primarily in embedded systems engineering, image/video processing, and software verification for safety-critical applications. The company develops and integrates solutions for heterogeneous computing platforms, focusing on performance optimization and quality assurance of automated systems. More recently, they have shifted toward trustworthy AI, cybersecurity for IoT, and verification of autonomous systems — applying their embedded systems expertise to ensure that intelligent systems behave reliably and securely.
What they specialise in
FITOPTIVIS focused specifically on cloud-to-edge optimization for image-video processing on heterogeneous platforms.
FOCETA addressed dependable machine learning and trustworthy autonomy, while ARCADIAN-IoT incorporated federated AI for autonomous trust management.
ARCADIAN-IoT (their largest funded project at EUR 301,791) focused on autonomous trust, security and privacy for IoT using decentralized ledger technology and cyber threat intelligence.
How they've shifted over time
RGB's trajectory shows a clear shift from hardware-oriented optimization to AI safety and security. Their early projects (2017-2018) centered on system quality assurance and embedded image processing on heterogeneous platforms — essentially making complex hardware-software systems work reliably and efficiently. From 2020 onward, the focus moved decisively toward trustworthy autonomy, dependable machine learning, and IoT cybersecurity, reflecting a company that recognized the growing need to ensure intelligent systems are not just performant but also safe and secure.
RGB is positioning itself at the intersection of AI dependability and cybersecurity — expect them to pursue projects in certified AI, secure autonomous systems, and safety-critical IoT deployments.
How they like to work
RGB consistently operates as a consortium participant, never taking the coordinator role across all five projects. They work in large consortia (106 unique partners across 20 countries), which suggests they contribute specialized technical components rather than driving project direction. Their pattern of joining successive ECSEL and RIA projects in related topics indicates they are a reliable, returning partner that builds deep expertise incrementally across projects.
With 106 unique consortium partners across 20 countries, RGB has built a broad European network concentrated in the ECSEL and digital trust communities. Their reach spans most of the EU, indicating strong integration into pan-European research and industry ecosystems.
What sets them apart
RGB brings an unusual combination: deep embedded systems engineering paired with growing AI safety and verification expertise, housed in a small company that can move fast. Their progression from system-level quality assurance to trustworthy autonomy means they understand both the hardware constraints and the AI reliability challenges — a combination that is rare among SMEs. For consortium builders, they offer a Spanish SME partner with hands-on V&V capabilities for intelligent and autonomous systems.
Highlights from their portfolio
- FOCETATheir largest single grant (EUR 365,625), focused on the high-demand topic of continuous engineering for trustworthy autonomous systems with dependable machine learning.
- ARCADIAN-IoTTheir most recent project and a strategic pivot into IoT security, combining federated AI with decentralized ledger technology and cyber threat intelligence.
- VALU3SDirectly addresses verification and validation of automated systems' safety and security — a regulatory hot topic as the EU AI Act takes effect.