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Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II) - Call 01

Department of Defense (DoD) > U.S. Air Force > AIR FORCE MATERIEL COMMAND AIR FORCE RESEARCH LABORATORY /PZL
TBD
est. $792K – $29.1M

This opportunity is closed

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Quick Brief

The Department of Defense is procuring innovative solutions for the Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II) project, focusing on Human-Machine Teaming concepts that utilize AI and automation to enhance Battle Management capabilities. The initiative aims to involve industry in developing cutting-edge technologies that support decision-making processes for warfighters, particularly in command and control systems. A key event, the Multi Decision Advantage Sprint for Human-machine teaming, is scheduled for May 2026 in Las Vegas, NV, with limited participant selection based on resource constraints.

Generated 30d ago

Contract Details

Contract Type
TBD
Estimated Value
est. $792K – $29.1M
Similar contracts award $117K$1.1M (median $350K, 72,549 awards)Above typical range
NAICS Codes
Place of Performance
Las Vegas, NV, USA

Agency & Contact

Contracting Organization

Agency
DEPT OF DEFENSE
Sub-Agency
DEPT OF THE AIR FORCE
Office
AIR FORCE MATERIEL COMMAND AIR FORCE RESEARCH LABORATORY /PZL

Point of Contact

John A. Smith
Contracting Officer
(202) 555-0100

Key Dates

Published4mo ago
Feb 13, 2026
Last Updated4mo ago
Feb 13, 2026
Became Presolicitation4mo ago
Feb 13, 2026
Tracked
Response Due3mo ago
Mar 16, 2026
Participant Notification Date2mo ago
Mar 30, 2026
Multi Decision Advantage Sprint Event1mo ago
May 4, 2026
Multi Decision Advantage Sprint Event End20d ago
May 15, 2026

Description

The Joint All Domain Persistent Adaptive Collaborative Technologies Project is Human-Machine Teaming (HMT) concepts that leverage AI/Automation capabilities to support Battle Mangers. C2 Decision Advantage Events provide support for ABMS Transformational Model Battle Management 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 autonomy 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. Each of these decision domains are decomposed in the Transformational Model for Decision Advantage (TM) using model-based systems engineering which bring these C2 decisions to light in a detailed manner. The Multi Decision Advantage Sprint for Human-machine teaming (MASH) is tentatively scheduled for 4 May–

15 May 2026 at the Howard Hughes Operations (H2O) Center in Las Vegas, NV. An “Ask Me Anything” for this event is planned to occur prior to the event. Participants will be limited based on resource and space constraints, and selected participants will be notified by

30 March 2026. Michelle Goss Alternative

Point of Contact Miranda Fryman to this opportunity. Atch 2 - CDRL.pdf Atch 4 - Representations and Certifications.docx Atch 3 - MASH SOO.pdf Joint All-Domain Transformational Model II_MASH Closed Call 01.pdf Appendix 4 - AFRL Privacy Act for Covered Individuals Fillable (1).pdf Atch 1 - Solicitation Language for Security Risk Review AFRLI 61-113.docx

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