Central theme across AMASS (assurance/certification of CPS), VALU3S (V&V of automated systems' safety), and NewControl (fail-operational perception systems).
KNOWLEDGE CENTRIC SOLUTIONS SL
Spanish SME providing knowledge engineering tools for safety assurance, reliability prediction, and V&V of cyber-physical and automated systems.
Their core work
Knowledge Centric Solutions (trading as The Reuse Company) is a Spanish SME specializing in knowledge engineering for safety-critical and reliability-critical digital systems. They provide tools and methods for verification, validation, certification, and assurance of complex cyber-physical systems — from autonomous vehicles to semiconductor reliability. Their core value lies in making engineering knowledge reusable and structured, helping manufacturers and system integrators ensure that their products meet stringent safety and reliability requirements.
What they specialise in
iRel40 focuses on intelligent reliability prediction and physics-of-failure methods; AMASS addresses multi-concern assurance including reliability.
NewControl targets fail-operational cognitive systems for highly automated vehicles using LIDAR/RADAR fusion.
Arrowhead Tools addresses engineering tools for digitalisation solutions, aligning with their company identity as 'The Reuse Company'.
iRel40 covers chip-package-board reliability, design for reliability, and functional materials — extending their V&V expertise into hardware.
How they've shifted over time
Their early H2020 work (2016–2019) focused on broad assurance and certification frameworks for cyber-physical systems (AMASS) and autonomous driving safety with sensor fusion (NewControl). From 2019 onward, their focus sharpened toward industrial reliability — Quality 4.0, physics-of-failure prediction, and semiconductor-level design for reliability (iRel40), alongside automated systems V&V (VALU3S). The trajectory shows a clear move from general safety assurance toward quantitative, prediction-based reliability methods applied to specific hardware and industrial systems.
Moving toward predictive reliability and AI-driven quality assurance for electronics and automated industrial systems — expect them to seek projects combining AI with hardware reliability.
How they like to work
Exclusively a participant across all five projects, never a coordinator — they contribute specialized knowledge engineering expertise to large consortia rather than leading them. With 237 unique partners across 25 countries, they operate in very large ECSEL/RIA consortia (typical for electronics and CPS domains). This makes them an experienced, low-friction partner who knows how to deliver within complex multi-partner projects without needing to drive the management.
Extensive network of 237 unique partners across 25 countries, built through participation in large ECSEL and RIA consortia. Their reach spans most of Europe, with strong connections to the automotive, electronics, and industrial automation ecosystems.
What sets them apart
Their differentiator is the intersection of knowledge engineering and safety/reliability assurance — they don't just test systems, they build structured, reusable knowledge frameworks that make certification and validation more efficient. Few SMEs combine deep expertise in both software V&V and hardware reliability (chip-to-system level). For consortium builders, they fill the critical gap between component manufacturers who need reliability proof and system integrators who need certification evidence.
Highlights from their portfolio
- AMASSTheir largest-funded project (EUR 237K) and earliest H2020 entry, establishing their core identity in multi-concern assurance and certification of cyber-physical systems.
- iRel40Extends their expertise from software/system-level into semiconductor reliability with Quality 4.0 and physics-of-failure prediction — signals a strategic expansion into hardware.
- VALU3SDirectly validates their core competence in V&V methodology applied to automated systems' safety and security, with strong alignment to emerging EU regulatory requirements.