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Phase I: Develop a concept for a TDSWC using MBSE.
Phase II: Develop a TDSWC prototype and integrate into a Navy-provided simulation testbed.
Phase III: Support the Navy in transitioning the prototype TDSWC model and executable to a Navy appointed warfare center.
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Peo Iws 11
The government authority located in Washington, DC is seeking a vendor to provide a terminal defence weapon system. The scope includes the development of a weapon system coordinator solution, which must utilize model-based systems engineering (MBSE) for documenting requirements, establishing system architecture, and testing system behavior.
The solution is to incorporate Artificial Intelligence (AI), specifically employing AI heuristics and machine learning, for engagement coordination. It should integrate a combat system interface capable of managing combat system commands, and secure cyber interfaces for each terminal defence weapon system.
A key requirement is that the system must successfully transfer ship terminal defence weapon system upgrade management and engagement coordination from the main combat system to the weapon system coordinator, ensuring seamless real-time operations without latency.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.