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Autonomous Spacecraft Control Software Development

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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This contract involves the development of advanced AI and machine learning software designed to provide autonomous control capabilities for spacecraft operating in contested space environments. The focus is on creating onboard systems capable of real-time decision-making, fault detection, and mission adaptation to enhance spacecraft resilience and effectiveness under challenging conditions. The work is positioned as a subcontract opportunity, falling under the NAICS code 541512, which relates to computer systems design services. Issued by the Department of Defense through the Air Force Research Laboratory (AFRL) at Rome, New York, the contract aims to leverage cutting-edge technology to address the complexities of autonomous spacecraft control. The solicitation was posted in mid-2026, with responses accepted until March 2030, allowing ample time for interested parties to prepare comprehensive proposals. The exact location for performance details and contact information were not specified, indicating a potential flexibility or confidentiality related to project execution.

General Info

Development of AI software for autonomous spacecraft control in contested space, subcontract opportunity.

Agency

Department Of Defense → FA9453 Afrl Rvk

NAICS

541512 - Computer Systems Design Services View NAICS

Place of Performance

NM

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

subcontract

Response Deadline

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Response Deadline

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Organization & Contact Information

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AgencyDepartment Of Defense → FA9453 Afrl Rvk
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → FA9453 Afrl Rvk
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop AI/ML-based autonomy software for onboard decision-making, fault detection, and mission adaptation in contested space environments.

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