Periodic Reporting for period 2 - AIDEAS (AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience)
Reporting period: 2024-04-01 to 2025-09-30
The AIDEAS project developed advanced Artificial Intelligence (AI) technologies to support the entire life cycle of industrial equipment—from design to end-of-life—serving as a strategic enabler for improving the sustainability, agility, and resilience of European machinery manufacturing companies. Addressing the growing need for smarter, more circular, and energy-efficient industrial systems, AIDEAS positioned AI as a key driver of the twin green and digital transition in manufacturing.
The project structured its technical work around four integrated AIDEAS Suites—for Industrial Equipment Design, Manufacturing, Use, and Repair–Reuse–Recycle—each aligned with the specific industrial needs of end-user pilots. This mapping process, conducted in close collaboration between AI developers and pilot partners, ensured that technology development was fully guided by real industrial challenges and measurable Key Performance Indicators (KPIs). The four Suites incorporated a total of 16 AI-based solutions, addressing goals such as design optimisation, production agility, predictive maintenance, circularity, and resource efficiency.
By the end of the project, all major objectives had been successfully achieved. The AIDEAS Reference Architecture and Machine Passport were delivered to ensure interoperability, data traceability, and lifecycle integration. Each Suite was developed, tested, and validated through four industrial pilot cases covering metal, stone, plastic, and food sectors, demonstrating the adaptability of AIDEAS technologies to different production environments. Results showed tangible improvements in performance and sustainability KPIs, confirming the feasibility and industrial relevance of AI-driven lifecycle management.
Complementary activities under WP8 ensured wide dissemination, stakeholder engagement, and alignment with ongoing standardisation and policy initiatives, supporting future exploitation and market uptake. Strong project management under WP9 secured the timely and high-quality delivery of all outcomes, positioning AIDEAS as a European reference for trustworthy AI in sustainable industrial equipment manufacturing.
The project structured its technical work around four integrated AIDEAS Suites—for Industrial Equipment Design, Manufacturing, Use, and Repair–Reuse–Recycle—each aligned with the specific industrial needs of end-user pilots. This mapping process, conducted in close collaboration between AI developers and pilot partners, ensured that technology development was fully guided by real industrial challenges and measurable Key Performance Indicators (KPIs). The four Suites incorporated a total of 16 AI-based solutions, addressing goals such as design optimisation, production agility, predictive maintenance, circularity, and resource efficiency.
By the end of the project, all major objectives had been successfully achieved. The AIDEAS Reference Architecture and Machine Passport were delivered to ensure interoperability, data traceability, and lifecycle integration. Each Suite was developed, tested, and validated through four industrial pilot cases covering metal, stone, plastic, and food sectors, demonstrating the adaptability of AIDEAS technologies to different production environments. Results showed tangible improvements in performance and sustainability KPIs, confirming the feasibility and industrial relevance of AI-driven lifecycle management.
Complementary activities under WP8 ensured wide dissemination, stakeholder engagement, and alignment with ongoing standardisation and policy initiatives, supporting future exploitation and market uptake. Strong project management under WP9 secured the timely and high-quality delivery of all outcomes, positioning AIDEAS as a European reference for trustworthy AI in sustainable industrial equipment manufacturing.
From M1 to M36, the AIDEAS project made significant progress across technical, dissemination, exploitation, and standardisation activities. A total of 31 deliverables were submitted on time, and 15 milestones were successfully reached. The development of the AIDEAS tools progressed according to plan, with the first release of tools and demonstrators delivered at M18 (D3.1 D4.1 D5.1 D6.1) the second release at M24 (D3.2 D4.2 D5.2 D6.2) and the final release demonstrated in pilot environments at M36 (D3.3 D4.3 D5.3 D6.3 D7.2). Early work in WP7 focused on defining pilot use cases, selecting AI tools, and installing hardware and data acquisition systems. During the second reporting period, tools were deployed in factory environments, with partners validating performance, estimating KPIs, and capturing lessons learnt. The ESTEIA framework was adopted to assess environmental, social, technological, and economic impacts.
Dissemination activities encompassed the implementation of a Target-Driven Dissemination Strategy, continuous monitoring of dissemination KPIs, and the maintenance of an operational website and active social media channels. Additional actions included the preparation of promotional materials, newsletters, and the organisation of workshops. A total of 97 communication activities were carried out by the consortium, including social media posts, printed materials, newsletters, videos and demos, as well as other project-related visual content. Besides, 42 dissemination activities were carried out by the consortium over the three-year duration of the project (including participation in conferences, booths, workshops, sister projects’ events/meetings and/or clustering activities, educational/training events, etc.). By M36, a total of 75 scientific publications—including journal papers, conference papers, articles, book chapters, and open-access datasets uploaded to Zenodo—had been produced. In addition, the publication of seven further conference papers is currently in progress and will be finalised shortly. Moreover, three Advisory Board workshops were successfully organised during the project period. The AIDEAS Community was launched at M3 and continuously expanded until M36.
Exploitation was advanced through the Acceleration Program, including KER Mapping, Value Proposition workshops, market analyses, customer journey mapping, and the Early Adopters Campaign, involving nine companies. KERs were assessed via Business Model Canvas, financial projections were drafted, and strategies were defined for sustainability and TRL growth, resulting in a realistic go-to-market plan.
IPR procedures were established for registering AIDEAS solutions, ensuring transparency, co-authorship respect, and traceability. Standardisation activities identified promising potentials, including a Common API structure and a Machine Passport, with liaison established with CEN-CLC/TC 24 DPP to align with ongoing standards development.
These achievements demonstrate strong technical progress, stakeholder engagement, and a solid foundation for post-project impact, exploitation, and standardisation.
Dissemination activities encompassed the implementation of a Target-Driven Dissemination Strategy, continuous monitoring of dissemination KPIs, and the maintenance of an operational website and active social media channels. Additional actions included the preparation of promotional materials, newsletters, and the organisation of workshops. A total of 97 communication activities were carried out by the consortium, including social media posts, printed materials, newsletters, videos and demos, as well as other project-related visual content. Besides, 42 dissemination activities were carried out by the consortium over the three-year duration of the project (including participation in conferences, booths, workshops, sister projects’ events/meetings and/or clustering activities, educational/training events, etc.). By M36, a total of 75 scientific publications—including journal papers, conference papers, articles, book chapters, and open-access datasets uploaded to Zenodo—had been produced. In addition, the publication of seven further conference papers is currently in progress and will be finalised shortly. Moreover, three Advisory Board workshops were successfully organised during the project period. The AIDEAS Community was launched at M3 and continuously expanded until M36.
Exploitation was advanced through the Acceleration Program, including KER Mapping, Value Proposition workshops, market analyses, customer journey mapping, and the Early Adopters Campaign, involving nine companies. KERs were assessed via Business Model Canvas, financial projections were drafted, and strategies were defined for sustainability and TRL growth, resulting in a realistic go-to-market plan.
IPR procedures were established for registering AIDEAS solutions, ensuring transparency, co-authorship respect, and traceability. Standardisation activities identified promising potentials, including a Common API structure and a Machine Passport, with liaison established with CEN-CLC/TC 24 DPP to align with ongoing standards development.
These achievements demonstrate strong technical progress, stakeholder engagement, and a solid foundation for post-project impact, exploitation, and standardisation.
The AIDEAS project delivered AI-driven solutions that significantly advanced the state of the art in European machinery manufacturing. Tools developed in the Design and Manufacturing Suites optimized production, reduced waste, and accelerated adaptation to market needs, while the Use and Repair-Reuse-Recycle Suites improved operational efficiency, extended machinery lifetimes, and reduced downtime through predictive maintenance. These innovations have strong economic, environmental, and technological impacts, including increased productivity, lower operational costs, enhanced sustainability, and the promotion of further AI-enabled industrial innovation. For broader uptake, continued R&D, access to markets and finance, commercialization and IPR support, internationalization, and a supportive regulatory and standardization framework are essential to ensure effective deployment, competitiveness, and long-term sustainability of the AIDEAS solutions.