Imagine having a giant library of seaweed data that is too big for any human to read. This project uses AI to scan that library and find the best seaweed species for making medicine. It then uses specially designed microbes to eat that seaweed and turn it into expensive health ingredients.
European seaweed industry wastes 50-70% of its biomass as low-value fertilizer because they lack the tools to identify and process high-value components from thousands of species.
Three digital toolboxes: an AI toolbox for species prospecting, a predictive model toolbox for resource management, and a bioprocess technology toolbox for microbial fermentation.
If you are a biotech drug manufacturer dealing with high raw material costs for antimicrobials — this project developed a bioprocess technology toolbox that converts seaweed sugars into high-value antimicrobials worth over $150/kg.
If you are a sustainable feed producer dealing with low-quality additives — this project developed a microbial co-culture system that transforms seaweed side-streams into valuable antimicrobials for feed while reducing the CO2 footprint by more than 20%.
If you are a seaweed harvesting company dealing with 50-70% of your product being sold as cheap fertilizer — this project developed AI and predictive model toolboxes to identify high-value species and optimize resource management.
The project aims to create a value-chain that produces antimicrobials with a value exceeding $150/kg.
Based on available project data, the project includes a bioprocess technology toolbox and 12 industry partners, suggesting a focus on industrial application, though specific plant capacity is not listed.
Based on available project data, specific licensing terms are not provided, but the project delivers digital toolboxes for prospecting and bioprocessing.
The process is designed to reduce the CO2 footprint by more than 20%.
It mines over 80 TB of data and 700,000 genes to identify growth and chemical characteristics, replacing manual curation which is currently not feasible.
The project is heavily industry-driven with a 60% industry ratio, comprising 12 companies (9 of which are SMEs) and 8 academic/research institutions. This strong commercial presence across 10 European countries indicates a high priority for market translation and practical application of the AI and biotech tools developed.
Contact NTNU (Norwegian University of Science and Technology) regarding the iCULTURE digital toolboxes.
Contact us to connect with the iCULTURE consortium for licensing the AI prospecting toolboxes.
