MOSAIC (grant agreement 101194414) is a Chips Joint Undertaking initiative designed to strengthen Europe’s digital autonomy in Electronic Components and Systems (ECS) for intelligent automation, with an explicit ambition to support industrial competitiveness and “fill the fabs” by accelerating the uptake of European ECS innovations. The project addresses the engineering reality that automation is no longer a single-domain problem: modern automated systems must reliably perceive and interpret complex environments, make decisions under uncertainty, and interact safely with humans and infrastructure. MOSAIC therefore targets foundational technologies and integration practices that can be validated across multiple sectors, including automotive, aerospace, maritime, industrial automation, and infrastructure, while emphasizing interoperability and standardized approaches that make cross-sector transfer feasible.

A central MOSAIC thesis is that technical performance alone is insufficient for real-world deployment at European scale. The project places strong weight on robustness, safety/security considerations, and explainability—capabilities that are increasingly required both by market expectations and emerging regulatory and standardization pressures for AI-enabled systems. Alongside the technology stack, MOSAIC explicitly treats user trust, acceptance, and viable exploitation pathways as engineering constraints that must be studied, measured, and continuously improved, rather than handled late through communication or marketing.

Within this context, ITML participates as a Greek SME with an applied R&D profile that is well aligned with MOSAIC’s cross-domain ambition. ITML’s public R&D portfolio shows consistent delivery across AI and data analytics, security and compliance, cyber-physical systems, and high-complexity technology integration—ranging from secure open-source software/hardware integration (SecOPERA), maritime data fusion and AI analytics (AI4COPSEC), and EU Cyber Resilience Act compliance tooling (CRACoWi), to safe-systems methods in federated digital twin environments (FRODDO) and advanced robotics (TORNADO). Τhis combination of “deep tech + deployment realism” is directly relevant to MOSAIC’s objective of moving advanced ECS concepts into repeatable, adoptable industrial building blocks. Ιn MOSAIC, ITML’s role concentrates on enabling trustworthy automation from three complementary angles. First, ITML contributes AI-driven methods that support non-invasive fault detection within automated cognition, reinforcing the project’s focus on dependable operation in safety- and mission-relevant settings.

Second, ITML strengthens explainability and interpretability by deploying intelligent, user-centric interfaces that help translate complex model behaviour into actionable understanding for engineers, operators, and other stakeholders—an essential ingredient for trust in automated decision support. Third, ITML contributes to business sovereignty and adoption readiness by developing methodologies that model and enhance technology acceptance, bridging technical validation with the socio-economic realities that determine whether European innovations are actually used in practice.

Taken together, ITML’s contribution helps MOSAIC close the loop between advanced ECS-enabled automation and the conditions for European uptake: systems that are not only capable, but also explainable, acceptable, and positioned for sustainable adoption within European value chains. This is precisely the type of “from lab to market” capability set Chips JU projects are intended to cultivate—so that Europe retains both technological capability and strategic control over the automated systems that will underpin future mobility and industry.