The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project is a potentially significant reduction in the human and economic toll of disasters, which now cost the United States billions of dollars each year. Emergency managers often struggle with scattered, outdated information that delays critical decisions. By transforming diverse streams of data—ranging from mobility data to lifeline systems—into quantitative, near-real-time insights, this project aims to help agencies anticipate evacuations, identify failing lifelines such as power and water, and target assistance to exposed residents. Faster, data-driven responses can save lives, speed community recovery, and curb economic losses. The technology’s cloud-based delivery and seamless connection to widely used geographic information systems will lower adoption barriers for local and state agencies, creating a path to large-scale deployment. Commercially, the work addresses a rapidly growing disaster resilience market, with potential to generate high-skill jobs and new tax revenues while reducing the economic and societal impacts of disasters on people. The technical merit lies in the development of a unified platform consisting of a suite of predictive, analytical, and generative AI applications that fuse multi-modal data feeds into continuously updating situational-awareness layers - anticipating evacuations, detecting lifeline outages, and generating trusted, context-aware guidance