Synthetic Natural Battlespace Environment Engine (SyNBEE)

Decision-makers use software to help making decisions, whether it be Computer Aided Design (CAD)/Digital Engineering or simulation in support of planning from National Defense Strategy to missions. Because the Natural Battlespace Environment (NBE) (i.e., atmosphere, space, ocean, and land) can dramatically impact military operations, it is essential that it is considered during planning.  History is replete with stunning examples of plans failing epically because the impact of the NBE was not incorporated in the deciding.  Injecting NBE into computerized decision-support systems, however, has been problematic. Phase I will develop an actionable design for a software application that generates consistent, coherent, comprehensive, and realistic synthetic NBE data and a means of injecting it into customer systems in the forms and formats that they can affordably process.  Open Source, Open Microservice Architecture principles will be employed to meet system requirements.  Component prototypes will be used to provide evidence of the feasibility of our solution.  The solution will include six modular components: 1) Historical archive of NBE seed data to provide a real foundation for realistically simulated data, 2) Intelligent data augmentation microservices to add information and metadata to support complex queries, 3) Database of transformed NBE data with ample metadata and a query engine, 4) Family of Large Language Model (LLM) microservices to enable natural language requests for scenario data that meets users needs, 5) NBE synthesizers to tailor data seeds to meet specific user needs, and a 6) Data Prep and Injection Service to provide tailored NBE datasets to users, machine-to-machine.  Together, these open-architected ecosystem of microservices will enable SyNBEE users to use natural language requests to get NBE data meeting the scenarios they need to accomplish their mission auto-injected into their computerized decision-support systems.