Our Partners

The Politecnico di Torino (PoliTO), established in 1906, is a leading European university in engineering and architecture with strong industry collaborations. It has extensive experience in national and international research projects, with 568 funded projects, including 268 in Horizon 2020, securing €104 million in EU funding. POLITO coordinates GENMAT, leads project/technical management and dissemination activities, and contributes multiphysics FE and SHM modelling for composite structures, including UC5.

BUL leads WP7 on data generation, collection and management, contributing multi-scale materials modelling, homogenisation and links between molecular/meso-scale inputs and macro-scale properties.

TWI is a membership-basd organisation, descended from the British Welding Research Association (BWRA), TWI has grown into one of the foremost independent research ad technology organisations. TWI is providing support and advice, knowhow and safety assurance through engineering, materials, surface analysis, inspection and joining technologies. As well as our research programmes, we work directly with our Industrial Members through single client projects (SCPs) to provide solutions that directly assist the Member's business. TWI leads the UC3/UC4 coating demonstrations, providing expertise in PFAS-free and low/zero microplastic-release coatings, advanced characterisation, durability testing and industrial validation.

As one of the highest-ranked universities in the world and one of the top universities in Europe, Stockholm University (SU) is a leading research university. The Department of Chemistry, with more than 200 employees, is one of the largest departments at Stockholm University. The Research spans all areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic research to more applied projects often focusing on sustainable chemistry but also advanced analytical methods of organic and inorganic chemicals and materials. The department has a very well-developed research infrastructure with state-of-the-art equipment with qualified support from staff scientists. CircuLab is a new lab automation infrastructure platform at SU, supported by WISE for data-driven sustainable chemistry. SU contributes high-throughput polymer (UC1) and vitrimer synthesis (UC2), spectroscopy and structured experimental validation loops, supporting experimental data generation and data governance activities.

AER leads UC1/UC2 and contributes macro-scale FE modelling, recyclability and performance workflows for polymer and composite systems.

Entelea has a wide experience on different modelling and simulation methods across different length and time scales to i) capture and model the complex behaviour of materials, and ii) empower the design of novel materials with the best properties for new or existing products and systems. Our experts work with our customers to support their R&D activities through a suitable simulation strategy. ENT leads molecular modelling and simulation-based data generation, including MD/MC, QSPR and molecular descriptors to link chemistry with predicted material properties.

TALOS leads WP3 on new database generation and develops synthetic-data architectures, surrogate models and data-ingestion pipelines to complement scarce experimental and simulation data.

CUBIC SNAIL is a software house based in Thessaloniki, Greece, building end-to-end web and application software for commercial and research clients. Founded in 2021 and expanded in 2024 into full-stack front-end and back-end development, it specialises in user-friendly interfaces that make complex systems usable, and is now moving into AI-driven R&D. CUBIC is the software, interface and integration lead: it builds the GENMAT Workbench that lets materials scientists use the foundation model without deep coding, together with an SDK/CLI, use-case plug-ins, data-provenance and explainability views, and reproducible workflows.

IRES is an independent Belgian consulting company (SME). IRES has a core business and wide experience in the fields of Life Cycle Assessment (LCA), Social Life Cycle Assessment (sLCA), & Life Cycle Costing (LCC), Exposure and Risk Assessment (hazard and exposure scenarios), Safe and sustainable by design (SSbD), Machine learning, Data Management Plan (DMP), Quality assurance and Data analysis. IRES is a data solution provider that invests in innovative Machine Learning based solutions. Data originating from different sources is utilized to unlock hidden values that lie between them. The company is currently expanding its expertise on material characterization with the help of AI. More specifically, characterization of SEM image purity of different types of materials via the help of Computer Vision and Deep Neural Networks. We provide customised and tailored solutions on demand, often in tool form, successfully identify possible business risks and provide sustainable directions. For this, the whole lifecycle of products is considered, through a holistic evaluation of social, environmental and economic aspects based on EU standards and regulations. We are currently involved in over than 30 EC-funded projects, fulfilling the roles mentioned above.

BIU leads WP8 and designs/trains the Holistic-M3FM, including multimodal, multiscale, uncertainty-aware and prior-aware foundation-model extensions.

NV contributes large-scale AI acceleration and optimisation expertise, supporting mixed-precision/MoE workloads, NVIDIA libraries and efficient foundation-model training.

TVS leads WP4 on preparatory foundation-model framework development, including domain-specific FM backbones, uni-modal encoders, baseline pipelines and training/evaluation infrastructure.

CINECA is one of Italy’s leading computing centres and among the most advanced worldwide in High Performance Computing. It is also a major provider of digital solutions and services for universities, research institutions, the Ministry of University and Research and the Ministry of Education and Merit. It supports large-scale digital transformation across the public sector. CINECA leads WP9 on adaptation and validation of GENMAT foundation models to the use cases, supporting EuroHPC/Leonardo deployment, fine-tuning pipelines and reproducible HPC workflows.

DSLU leads ethics, legal and SSH activities, supporting AI Act, GDPR, RRI, compliance toolkits, impact assessment, audit preparation and responsible-AI governance.