Innovative AI methods and technologies for the process industries (RIA) (Processes4Planet and AI, Data and Robotics partnerships)
Project Proposal
Seeking project coordinator and partners: Innovative AI methods and technologies for the process industries (RIA)
Can act as:
Seeking expertise:
KNEIA is seeking a project coordinator and partners to participate in the AI4TEX project to develop and demonstrate an integrated, AI-driven platform for the textile industry that accelerates the discovery and optimization of novel materials and processes while enhancing sustainability, competitiveness, and workforce well-being. This platform will leverage advanced AI approaches -including multimodal generative AI, foundation models, and agentic AI- to enable intelligent, adaptive, and creative solutions across the textile materials lifecycle, from design to production and supply chain management.
TOPIC: “HORIZON-CL4-2026-02-DIGITAL-EMERGING-53-two-stage: Innovative AI methods and technologies for the process industries (RIA) (Processes4Planet and AI, Data and Robotics partnerships)” indicates: “Drastically improved AI methods and technologies hold transformative potential for the process industries, enabling advancements in process design, operational efficiency, and faster innovation across the entire lifecycle of plants and products. By using different AI approaches such as multimodal generative AI, foundation models, and agentic AI, the industry can move beyond conventional AI applications as e.g. predictive maintenance and quality control toward more intelligent, adaptive, and creative solutions. AI-based solutions can deliver value at every stage of the process lifecycle. In design and engineering, they can enable new innovations and accelerate the development process. During operations, AI technologies can be employed to optimize processes, enhance reproducibility, adapt to changing conditions, and provide new forms of support for the workforce and enable autonomous operation. (…) Proposals should produce dedicated innovative AI-based solutions for the process industry for one of the following scopes: 1) More effective and faster development of new materials and processes. 2) Competitive and sustainable production, reducing the negative environmental impact of industry. 3) Reduction of risks for the health of the workforce and for the environment and making workplaces in the process industries more attractive.
The outcomes of the project will contribute to accelerating the development of innovative and sustainable textile materials, optimizing production processes for competitiveness and reduced environmental impact, enhancing workforce safety and acceptance of AI-driven systems, and enabling adaptive, resilient, and circular textile value chains across Europe.
If you are interested, please contact the manager in charge of proposals Ciro Avolio ([email protected])