Request for Information - AI-Enabled Airspace Management Solutions to Reduce Commander Cognitive Burden

Closed Special Notice Posted

Agency
Responses due
Set-aside
No set-aside

Opportunity facts

Place of performance
Aberdeen Proving Ground, Maryland, United States

Notice details come from SAM.gov. Updated .

About this opportunity

The United States Army, in collaboration with Program Executive Office Intelligence Electronic Warfare & Sensors (PEO IEW&S) and Program Manager Next Generation Command and Control (NGC2), has issued a Request for Information seeking AI-enabled airspace management solutions to reduce commander cognitive burden. This RFI is published by the Department of the Army Materiel Command Army Contracting Command Aberdeen Proving Ground and focuses on identifying innovative artificial intelligence and machine learning technologies for complex airspace operations. The Army seeks solutions that can enhance situational awareness and manage airspace operations in rapidly evolving battlefield environments, particularly for unmanned aerial systems, loitering munitions, and autonomous platforms. The notice targets technologies capable of dynamic airspace allocation, real-time conflict detection, predictive analytics, and coordination of fires and effects while providing resilience against adversary countermeasures.

The primary objective is to gather industry feedback on solutions that can provide real-time airspace awareness, integrate with existing Army systems like NGC2, and demonstrate operational readiness for deployment to the 25th Infantry Division by November 2025. Contractors must submit responses by August 29, 2025, in the form of a seven-page white paper via email to the specified Army address, with technical requirements including compliance with DoD cybersecurity frameworks such as Zero Trust Architecture and NIST Risk Management Framework. The Army is particularly interested in industry partners who can provide a minimum viable product demonstration during the Joint Pacific Multinational Readiness Center Exercise 26-01 scheduled for November 2025. No set-asides apply to this opportunity, and both individual vendors and team responses are welcomed, with the government seeking solutions that can infer airspace awareness from diverse data sources including tactical radars, blue force tracking, and ISR systems. While no immediate follow-on contracts are guaranteed, the Army intends to use RFI responses to guide future procurement efforts for airspace management technologies that could potentially serve thousands of personnel across Brigade Combat Teams, Division Headquarters, Corps-level commands, and Aviation Brigades.

Notice text

2 versions

Update #2 · Latest ·

The United States Army, in collaboration with Program Executive Office Intelligence Electronic Warfare & Sensors (PEO IEW&S) and Program Manager Next Generation Command and Control (NGC2), is issuing this RFI to gather industry feedback and identify innovative solutions leveraging artificial intelligence (AI) and machine learning (ML) technologies to support airspace management. This RFI is focused on addressing the cognitive burden faced by commanders in managing complex airspace operations and maintaining situational awareness in a rapidly evolving battlefield environment.

*FULL RFI IN ATTACHMENT SECTION

Questions and Answers are posted in the Attachment Section.***

Update #1 ·

The United States Army, in collaboration with Program Executive Office Intelligence Electronic Warfare & Sensors (PEO IEW&S) and Program Manager Next Generation Command and Control (NGC2), is issuing this RFI to gather industry feedback and identify innovative solutions leveraging artificial intelligence (AI) and machine learning (ML) technologies to support airspace management. This RFI is focused on addressing the cognitive burden faced by commanders in managing complex airspace operations and maintaining situational awareness in a rapidly evolving battlefield environment.

*FULL RFI IN ATTACHMENT SECTION

Files

File Type Posted
RFI Industry Questions And Answers_27AUG2025.xlsx XLSX spreadsheet
RFI Industry Questions And Answers_25AUG2025.xlsx XLSX spreadsheet
Airspace AIML RFI_30JUL2025.pdf PDF

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