Project cooperationUpdated on 10 September 2025
Automation of Sustainable Packaging Production
About
Hera Materials is forming a consortium to apply for Eureka’s Crea y Valida program, aiming to achieve the Eureka Seal of Innovation. Our project focuses on automating the production of recyclable and compostable packaging, integrating AI-driven processes to increase efficiency, reduce costs, and scale industrial manufacturing. We seek partners from industry, academia, and technology providers to validate this innovation, strengthen market adoption, and demonstrate the global potential of sustainable packaging solutions.
Stage
- Early idea
Topic
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
Call
- Circular Value Creation R&D projects
Type
- Consortium seeks Partners
Organisation
Similar opportunities
Project cooperation
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
Luis Frauca
Senior Consultant at SOLTECO
Madrid, Spain
Project cooperation
- Early idea
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
Pedro Fernandes
Researcher at Fraunhofer IFAM
Bremen, Germany
Project cooperation
FedProM: Federated Process Modeling along the Value Chain
- Already defined
- Expertise offered
- Data technologies | (AI based) process and system control technologies
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Ramin Nikzad-Langerodi
Research Team Lead Data Science at Software Competence Center Hagenberg GmbH
Hagenberg, Austria