SAM.gov listing

Call 03 M-DASH - Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II)

Department of Defense → Department of the Air Force → AIR Force Materiel Command → AIR Force Research Laboratory → FA2384 USAF AFMC AFRL PZL AFRL RAKHSolicitationSolicitation FA238426SB007

Response deadline

Wed, Oct 21, 2026, 5:00 PM EDT
Analyze This Opportunity in CaptureIQ

Compare your company's capabilities against this federal opportunity using CaptureIQ.

Ready to Pursue This Opportunity?

Qualify the fit, analyze competitors, identify teaming partners, and generate review-ready materials — all in CaptureIQ.

  • Federal capture workflow
  • Competitor & teaming intelligence
  • Proposal preparation

Opportunity details

NAICS
541715
Notice type
Solicitation
Original posted
October 20, 2026
Last updated
October 17, 2026
Notice ID
8f0da0e3ec8d4203b52f255ea48c7a53

Summary

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).

Read Full Official Summary

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).

Official SAM.gov Contract Opportunities file extract description for this notice. CaptureIQ does not generate or rewrite this text.

Related Federal Opportunities

Why this matters

  • This notice is a solicitation.
  • The listed response deadline is Oct 21, 2026.
  • 4 related opportunities share this NAICS.

Related federal terms

  • RFP — Request for Proposal
  • NAICS — North American Industry Classification System
  • PSC — Product Service Code

Market context

4 Related OpportunitiesMatching opportunities on RFPCapture

Related intelligence

Research and capture tools

This notice uses an IT NAICS or PSC classification documented in RFPCapture research.

← All federal opportunities · Federal Opportunity Research

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.