Muli-modal AI applications present several challenges, including the processing, storage, and distribution of large, protected datasets across distributed computational resources. We develop, deploy, and operate AI-ready data platforms to manage and process multimodal data (genomics, imaging, signal, and tabular information) across multiple locations. Using an agent-based system coupled with open-source automated machine learning and review tools allows not only dynamic load-balancing and cross-network operation, but also the development of research and clinical AI models using the data managed by the platform.