Data in food processing, and particularly food safety, while abundant, is siloed in individual firms, plants, and labs, and not well integrated for big data approaches like AI development. This project aims to develop deeper collaboration within companies and the research community to build out AI infrastructure in the following areas: food safety, Federated Learning for collaborative and privacy-preserving learning, and inventory strategies to improve supply chain resilience. The project’s broader impact will be the food safety testing database for public-domain food safety data. This will meet an unmet need for data availability, and could become a widely used data exploration tool.