AI-Assisted Modernization and Optimization of Theater Mission Planning Center (TMPC) Software

The DON26BZ01-NV013 program seeks to develop an AI-driven toolset for modernizing the Theater Mission Planning Center (TMPC) software. The objective is to automate the refactoring of legacy code, optimize performance, integrate advanced cybersecurity, and ensure compatibility with modern mission systems. TMPC software currently faces challenges due to its legacy codebase, leading to time-consuming and error-prone manual modernization efforts. The proposed solution will leverage machine learning and natural language processing to analyze, refactor, and optimize the codebase while preserving critical functionalities. AI-assisted validation and security enhancements are crucial for meeting evolving Navy mission planning requirements. Phase I involves analyzing the existing architecture, developing conceptual AI models, and demonstrating proof-of-concept refactoring. Phase II will focus on developing a prototype AI toolset, integrating cybersecurity, and conducting extensive testing. Work in Phase II may become classified, requiring the contractor to be U.S. owned and operated with appropriate security clearances and a secret-level facility. Phase III aims to transition the AI tool from prototype to full-scale, offering benefits to both military and private sectors by improving the speed, security, and cost-effectiveness of software upgrades. This project is restricted under ITAR and EAR regulations, requiring disclosure of any foreign national involvement. The projected CMMC level requirement is Level 2 (Self), and modernization priorities include Advanced Computing and Software.