Opportunity brief · SAM.gov sources sought
Next Generation Undersea Security Initiative (NG-USI)
Dept of Defense · Dept of the Navy · PAE STRATEGIC SYSTEMS PROGRAMS · Solicitation SSP_NG-USI · NAICS 541715 Research and Development in the Physical, Engineering, and Life Sciences (Except Nanotechnology and Biotechnology) · responses due 2031-07-01 · Open on SAM.gov ↗
- Posted
- 2026-07-02
- Place of work
- District of Columbia
- Product or service code
- AC13 · National Defense R&D Services; Department of Defense - Military; Experimental Development
Putting the brief together: the incumbent, who else wins this work, the contracting office and past prices…
From the notice
Synopsis: This is a solicitation for parties interested in participating in projects sought by the Strategic Systems Programs (SSP) for state-of-the-art technologies and capabilities for the Next Generation Undersea Security Initiative (NG-USI). NG-USI is established to meet requirements in the following Focus Areas of Interest: Focus Area #1: Signal Mitigation – OPNAV/N975 Prototype technologies that may mitigate the generation, radiation, propagation, and scatter of a variety of signal types (acoustic, chemical, optical, electromagnetic, radiological, hydrodynamic, and cyber) associated with submarine and unmanned system operations, to include both peacetime and wartime operations. Focus Area #2: Comprehensive Counter-Unmanned Systems (C-UXS) – Nuclear Weapons Surety (NWS) & OPNAV/N975 Prototype technologies to detect, track, identify, deny, and defeat unmanned systems across all domains (aerial, surface, underwater, and ground). This area seeks scalable solutions for shore-based installations and afloat operations in Port, Harbor, Littoral, and Waterways (PHLW) and open ocean environments. (Examples include: kinetic/non-kinetic effectors, electronic warfare/jamming, and physical denial systems such as advanced netting or modular infrastructure shielding). Focus Area #3: Defeating Adversarial Autonomy & AI – NWS Prototype technologies to effectively counter hostile Artificial Intelligence (AI) and Machine Learning (ML) capabilities.
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