Digital Innovations for Circulair Bioeconomy

The European bio-based industry is at a pivotal juncture, facing the dual challenge of improving sustainability and competitiveness in a rapidly evolving global market. Despite its potential, integration of digital technologies in bio-based processes is still limited. BioValueAI aims to transform the sector by harnessing AI and digital technologies to build climate-neutral, circular value chains. It addresses fragmented data infrastructures, low AI uptake and societal acceptance, and limited sustainability metrics by delivering validated AI models, digital twins, and sustainability-by-design tools across five diverse yet interconnected industry use cases: Cacao Valorisation, Bio-Based Coatings, Precision Fermentation, Hemp Chain Intelligence, and Biorefinery Feedstock Optimization.

Combining technological excellence with social innovation, BioValueAI applies a lean multi-actor approach, co-creating solutions with industry, researchers, policymakers, and citizens. Ethical, legal, and social aspects (ELSA) are embedded from the start. AI models are developed using real-world data and supported by a digital twin reference architecture. Citizen engagement and behavioural testing ensure societal acceptance and trust. The consortium brings together expertise in AI, biotechnology, sustainability, and social sciences, leveraging EU Research Infrastructures like IBISBA and Data Spaces.

Expected results include validated AI models based on reusable components, integrated sustainability tools, and a Business Model Playbook. Innovations will improve resource efficiency, yield, waste valorisation, and biodegradability. A responsible AI guideline and European Bio-AI Acceptance Atlas will support policy alignment and public trust.

BioValueAI’s impact includes replication in adjacent sectors, alignment with EU policy, and international cooperation. It empowers stakeholders to turn data into insight, waste into value, and innovation into impact.