ContractSpecial Notice

Request for Information: Collaborative Integrated Air and Missile Defense requirements

DEPT OF DEFENSE
Response Deadline
Jan 30, 2026
Deadline passed
Days Remaining
0
Closed
Set-Aside
Full & Open
Notice Type
Special Notice

Contract Opportunity Analysis

The Department of Defense, through the Naval Information Warfare Systems Command (NAVWAR), is seeking industry input for the Collaborative Integrated Air and Missile Defense (IAMD) Planning Program. This Request for Information (RFI) aims to gather innovative software solutions that leverage Artificial Intelligence (AI) to enhance and expedite the IAMD planning process for the U.S. Navy, focusing on automating human functions and enabling concurrent collaboration to improve planning efficiency. The program is critical for developing capabilities that integrate with existing Navy systems, addressing challenges such as manual data fusion and collaborative evaluation of courses of action (COAs). Interested parties are encouraged to submit white papers detailing their solutions by November 3, 2025, and may direct inquiries to Rachel Jimenez at rachel.r.jimenez5.civ@us.navy.mil or Christopher Auen at christopher.d.auen.civ@us.navy.mil.

Classification Codes

NAICS Code
334511
Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing

Solicitation Documents

2 Files
CIPP RFI_QA_14Jan2026.pdf
PDF434 KBJan 15, 2026
AI Summary
The RFI for the Collaborative Integrated Air and Missile Defense (IAMD) program, PMW 150, seeks to leverage AI to enhance the IAMD planning process. NAVWAR aims to automate human functions and enable concurrent collaboration to reduce planning time and rapidly adjust plans to new developments and revised Commander's intent. While specific performance benchmarks are not yet released, the goal is to significantly accelerate complex, force-level IAMD planning. All A-E performance specifications in Section 2.1 are considered of equal importance for the RFI response, with implementation prioritization determined by factors like warfighter needs, technology maturity, and funding. Key challenges include manual data fusion and ensuring collaborative evaluation of courses of action (COAs). The program emphasizes AI's role in reasoning/generative capabilities for data capture, evaluating Commander's intent, providing quantitative COA metrics, and explaining derivations via predictive AI. NAVWAR intends to hold an Industry Day in CY26, prior to an RFP release.
Collaborative IAMD Planning Program RFI_NAVWAR.pdf
PDF573 KBJan 15, 2026
AI Summary
This Request For Information (RFI) from Naval Information Warfare Systems Command (NAVWAR) seeks industry solutions for the Collaborative Integrated Air and Missile Defense (IAMD) Planning Program (CIPP). The RFI aims to gather information on software solutions, particularly those leveraging Artificial Intelligence (AI), to enhance and expedite IAMD planning for the U.S. Navy. The CIPP provides IAMD planning capabilities through a suite of software applications, integrating with existing Navy systems and infrastructure. Key requirements for AI-based systems include capabilities for mission analysis, Course of Action (COA) development, COA analysis (including realistic simulations with AI agents), COA comparison and selection, and transition to execution. Respondents are asked to submit white papers detailing existing solutions, implementation strategies, relevant experience, and data rights, by November 3, 2025.

Related Contract Opportunities

Project Timeline

postedOriginal Solicitation PostedSep 29, 2025
amendedAmendment #1· Description UpdatedOct 23, 2025
amendedAmendment #2· Description UpdatedNov 24, 2025
amendedLatest Amendment· Description UpdatedJan 15, 2026
deadlineResponse DeadlineJan 30, 2026
expiryArchive DateFeb 14, 2026

Agency Information

Department
DEPT OF DEFENSE
Sub-Tier
DEPT OF THE NAVY
Office
NAVAL INFORMATION WARFARE SYSTEMS

Point of Contact

Name
Rachel Jimenez

Place of Performance

San Diego, California, UNITED STATES

Official Sources