Call 03 M-DASH - Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II)
Open Solicitation Posted
- Solicitation number
- FA238426SB007
- Agency
-
Air Force Research Laboratory
Air Force Materiel Command, Department of Defense
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- 541715 Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Place of performance
- Las Vegas, Nevada, United States
Notice details come from SAM.gov. Updated .
About this opportunity
The Air Force Research Laboratory seeks technical and cost proposals for the Multi-Decision Advantage Sprint for Human-Machine Teaming (M-DASH) Event under the Joint All Domain Persistent Adaptive Collaborative Technologies II program, with proposals due October 21 at 5:00 PM Wright-Patterson AFB local time. This is an unrestricted solicitation with no set-aside.
Performance occurs in Las Vegas, Nevada, during the event period January 25 through February 5, 2027, at a commercial facility. Contractors must develop three integrated decision services—Perceive Actionable Entity (PAE), Match Effectors (MEF), and Generate Battle Course of Action (GBC)—as a unified Battle COA ensemble supporting human-machine teaming for Battle Managers. Solutions must accept government-provided data via API and specified schemas, producing timestamped decision outputs with traceability logs. All contractor personnel require U.S. citizenship to access USAF bases and government IT networks, and Tier 1 background checks apply. CMMC Level 1 (Self) assessment certification is mandatory by proposal submission. The event is unclassified (Distro A), though foreign nationals from allied nations will participate; ITAR-controlled technology is a consideration.
The government anticipates awarding one or more firm fixed-price contracts with a maximum of $100,000 per offeror and estimated total program cost of $600,000. The period of performance is two weeks. Award notifications are expected around November 5, 2026. Deliverables include an End-of-Event Accomplishment Presentation, Technology Survey (addressing AI models, licensing, hardware requirements, and power consumption), and Simulated Run Digital Audit Logs due within ten business days of event conclusion. The government desires unlimited rights to technical data and computer software. Contractors provide their own hardware and AI models; payment is a single lump sum upon event conclusion and deliverable receipt through WAWF in PIEE. The NAICS code is 541715, and the PSC is AC11.
Notice text
5 versions
Update #5 · Latest ·
*20 Oct 2026 - Amendment 5 updates Q&A
*16 Oct 2026 - Amendment 4 updates SOO with correct links, the AMA slides/transcript, and updated Q&A
*08 October 2026 - Amendment 3 adds the most up to date Q&A regarding the Call & updates Attachment 2 CDRL and deletes the initial one that was out of date.
*08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document.
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).
Update #4 ·
*16 Oct 2026 - Amendment 4 updates SOO with correct links, the AMA slides/transcript, and updated Q&A
*08 October 2026 - Amendment 3 adds the most up to date Q&A regarding the Call & updates Attachment 2 CDRL and deletes the initial one that was out of date.
*08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document.
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).
Update #3 ·
*08 October 2026 - Amendment 3 adds the most up to date Q&A regarding the Call & updates Attachment 2 CDRL and deletes the initial one that was out of date.
*08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document.
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).
Update #2 ·
*08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document.
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).
Update #1 ·
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).
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