Multi-Entity Autonomy-Enabled Mission Command Reference Architecture

SOL #: b9e35e505b1640d1b10b7faeb4bb6d26Special Notice

Overview

Buyer

DEPT OF DEFENSE
Dept Of The Army
W6QK ACC- DTA
WARREN, MI, 48397-5000, United States

Place of Performance

Place of performance not available

NAICS

No NAICS code specified

PSC

No PSC code specified

Set Aside

No set aside specified

Timeline

1
Posted
Mar 11, 2026
2
Action Date
Apr 9, 2026, 9:00 PM

Qualification Details

Fit reasons
  • NAICS alignment with historical contract wins in similar service areas.
  • Scope strongly matches core technical capabilities and delivery model.
Risks
  • Past performance thresholds may require one additional teaming partner.
  • Potential clarification needed on staffing minimums before bid/no-bid.
Next steps

Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.

Quick Summary

The Department of the Army is conducting market research through a Request for Information (RFI) for a Multi-Entity Autonomy-Enabled Mission Command Reference Architecture. This RFI seeks industry input on innovative approaches, mature technologies, and implementation strategies to enable coordinated operations of heterogeneous autonomous entities (e.g., UAVs, UGVs, USVs, sensors) across various military operations. This is for planning purposes only and is not a solicitation. Responses are due April 9, 2026, at 5:00 PM Eastern Time.

Scope of Interest

The Government is interested in understanding:

  • Reference Architectures: Existing frameworks, messaging interfaces, system structures, computing requirements, modeling/simulation, wireless transport, use cases, and Modular Open System Architecture (MOSA) implementation.
  • Autonomy-Enabled Mission Command Software: Software products, terminology clarity, installation methods, multi-agent behaviors, and network resilience.
  • Entity to Entity Autonomy and Intelligence: Solutions for collective planning, shared perception, adaptive learning, real-time path planning, friend-foe identification, and energy management.
  • Multi-Entity Coordination: Approaches for task allocation, formation control, distributed consensus, swarm intelligence, collective perception, and dynamic team composition.
  • Mission Management and Planning: Capabilities for commander's intent interpretation, automated mission planning, real-time monitoring, adaptive replanning, and multi-objective optimization.
  • Communications and Networking: Resilient MANET protocols, delay-tolerant networking, anti-jamming/LPD communications, adaptive bandwidth management, and cross-domain information exchange.
  • Human-Machine Interface and Control: Multi-level command interfaces, visualization, alert prioritization, variable autonomy, explainable AI, and workload management.
  • Safety, Security, and Assurance: Assured control safety, cybersecurity architectures, anti-spoofing, formal verification, fault detection, adversarial AI defense, and supply chain security.
  • Testing, Verification, and Validation: Information on TRLs, simulation environments, HITL/SITL testing, digital twins, and operational test methodologies.
  • Past Experience: Relevant work with Army Uncrewed Vehicle Control (UVC) and adherence to standards.

Submission Details

  • Type: Request for Information (RFI) / Sources Sought
  • Response Due: April 9, 2026, 5:00 PM Eastern Time
  • Submission Method: Electronic submission to submissions@namconsortium.org
  • Format: Technical response limited to 15 pages (excluding cover page and appendices), Arial/Times New Roman 11-point font, 1-inch margins. PDF or Microsoft Word format.
  • Content: Submissions should outline capacities, technical solutions/concepts, and prototypes addressing the stated requirements.

Eligibility

Input is requested from small businesses, non-traditional firms, and large business concerns.

Additional Notes

This RFI is for information and planning purposes only and does not commit the Government to a contract. Respondents are responsible for all associated costs. Proprietary information should be clearly marked.

People

Points of Contact

Robert MontoPRIMARY

Files

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Special Notice
Posted: Mar 11, 2026
Multi-Entity Autonomy-Enabled Mission Command Reference Architecture | GovScope