This I-Corps project is based on the development of a software platform to provide a wide range of computer vision tasks with minimal computational effort for mobile applications, including autonomous vehicles, robotics, and traffic monitoring. Currently, traditional models using artificial intelligence (AI) solutions are static, monolithic, and optimized for worst-case scenarios, leading to significant computational demands that mobile devices often cannot meet. This technology provides operators with real-time, actionable insights, even in low-bandwidth environments. The solution is based on a new generation of AI algorithms, empowering systems with new analysis capabilities. In addition, it uses a modular approach that is designed to integrate seamlessly with existing systems, which may ensure greater scalability and adaptability for rapidly evolving missions. The ability of the platform to deploy AI algorithms in a flexible, resilient, and distributed fashion may make it possible to gather information from multiple sources from the environment, understand what the information means, and use the information to predict what may happen next, referred to as dynamic situational awareness. This technology may improve the decision making and safety of first responders and workers across fields and commercial areas and improve U.S. defense capabilities. This I-Corps project utilizes experiential learning coupled with first-hand investigation of the industry ecosystem to assess