SAM #FA238426SB007

AFRL M-DASH Call 03: AI-enabled battle-management decision support and software demonstration

The U.S. Air Force is seeking AI-enabled human-machine teaming capabilities and software demonstrations to improve battle-management decision-making through AFRL’s M-DASH Call 03. - Government buyer - Department of the Air Force / U.S. Air Force, Air Force Research Laboratory (AFRL), including the Warfighter Interactions and Readiness Division (RHW), the ABMS Cross Functional Team (AF/A57RB), and AFRL’s 711th Human Performance Wing. - The initial notice also identifies the FA2384 USAF AFMC AFRL PZL AFRL RAKH office. - Opportunity and requested work - Develop and explore AI and automation approaches for Human-Machine Teaming, supporting Battle Managers and command-and-control decision advantage, with warfighter involvement. - Demonstrate software services for Perceive Actionable Entity (PAE), Match Effectors (MEF), and Generate BattleCOA (GBC), using dynamic structured and unstructured scenario data to support human decision-making. - No hardware products, product quantities, or specific commercial software products are identified; participating contractors provide their own hardware for the demonstration. - Deliverables and notable requirements - Provide government-schema/API outputs and simulated-run digital audit logs, plus an end-of-event accomplishment presentation and technology survey in the Technical Review Presentation Package (CDRL A001). - Submit one final Scientific and Technical Reports summary (DI-MISC-80711A/T), covering objectives, technical problems, methodology, results, findings, conclusions, further-research implications, significant hardware development, and special comments. Contractor format is allowed. - The call requires a CMMC Level 1 (Self) assessment and seeks unlimited rights in specified noncommercial technical data and software. The demonstration statement does not require final code delivery or intellectual-property transfer. - OEMs and vendors - No OEMs, product manufacturers, or vendors are named in the provided materials. - Funding and schedule - Estimated program cost is $600,000, with a maximum of $100,000 per selected offeror. - The event is described as a two-week effort in Las Vegas, Nevada. No broader contract period or option periods are specified.

Description

The Joint All Domain Persistent Adaptive Collaborative Technologies (JADPACT) Project seeks to develop Human-Machine Teaming (HMT) concepts that leverage AI/Automation capabilities to support Battle Managers. C2 Decision Advantage events provide support for the ABMS Transformational Model decision functions and an opportunity to learn about and explore many different AI/automation approaches for Battle Management. Furthermore, the events and R&D aim to ensure warfighter involvement in the development of AI/autonomy and further identify areas where AI augmentation would support Battle Managers. The goal is to include industry to ensure work being done to develop and adapt the latest, cutting-edge AI/automation approaches can be leveraged and adapted to the needs of Battle Managers. This will be accomplished by seeking unique and innovative solutions to accomplish the defined technical requirements. 

The Combined Joint All-Domain Command and Control (CJADC2) Campaign Plan 2030 defines decision advantage as the ability to consistently make better, timelier decisions than the adversary.  Current DAF command and control (C2) systems and processes are optimized for low intensity conflict and do not address decision advantage over the pacing challenge.  Deriving effective C2 capability development toward decision advantage requires a clear understanding of what C2 decisions are.  The DAF Advanced Battle Management System (ABMS) Cross Functional Team (CFT) provides a quantitative model for the Joint Warfighting Function of C2 as the Command, Plan, and Battle Management decision domains, supported by and integrated with Battle Analysis (military intelligence and surveillance).  Each of these decision domains are decomposed in the Transformational Model for Decision Advantage (TM-DA) using model-based systems engineering to bridge the gap between operational concepts and software design.  

The M-DASH event is tentatively scheduled for 25 January 2027 - 4 February 2027 in Las Vegas, Nevada. A virtual Ask Me Anything session is scheduled for 15 October 2026 at 1200-1300 EST (Details in paragraph 2.2 of the Call). Additional Links:M-DASH Event - Ask Me Anything @ 1200 EST on 15 October 2026

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