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AOI V: Information Dominance & Battlespace Awareness

Active

Federal

Contract Overview

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

AI Contract Overview

The SOF RACER initiative, managed by US Special Operations Command under the Information Dominance and Battlespace Awareness area of interest, aims to establish persistent, automated, and near-real-time data collection and dissemination to enhance predictive analysis and situational awareness. The program focuses on the development and integration of collaborative autonomous air, ground, and maritime systems capable of operating with minimal human intervention through real-time data sharing and synchronized tasking. To support these goals, the contract emphasizes the deployment of modular, power-efficient, and multi-domain advanced sensor systems, including LIDAR, RF, and Quantum technologies, while ensuring compatibility with legacy systems through open-source and MOSA-compliant architectures. These hardware capabilities are paired with AI and machine learning algorithms designed to process massive datasets at the tactical edge, enabling automated target recognition, anomaly detection, and accelerated decision-making for mission-relevant intelligence.

General Info

USSOCOM initiative for autonomous multi-domain systems using AI and advanced sensors for intelligence.

Agency

US Special Operations Command (ussocom) → SOF AT&L

NAICS

334511 - Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing

Place of Performance

Not specified

Set-Aside

NONE

Documents

No documents available

Documents will appear here when they are available.

AI Contract Breakdown

Uniform Contract Format

No documents to break down

The breakdown needs solicitation documents. None were found from this contract's source.

Timeline

PostedSep 28

forecast

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Organization & Contact Information

AgencyUS Special Operations Command (ussocom) → SOF AT&L

ContactsNo contacts available

OfficeN/A

Organization / AgencyUS Special Operations Command (ussocom) → SOF AT&L

Office AddressN/A

ContactsNo contact information available

Full Description

SOF RACER: The primary goal is to achieve persistent, automated, and near-real-time collection, processing, and dissemination of data to enable predictive analysis and superior situational awareness.
Collaborative Autonomy & Uncrewed Systems: Developing and integrating autonomous air, ground, and maritime systems that can work together with minimal human intervention. These systems will share data in real-time to inform their own tasking and positioning, reducing operator burden and decision time. This includes support for autonomous systems with onboard detectors/effectors (which may or may not be autonomous) and the data exchanges between all related systems.
Advanced Sensor Systems: Fielding a wide range of advanced, multi-domain sensors (e.g., EO/IR, LIDAR, RF, Quantum) that are smaller, lighter, open-source, modular, and more power-efficient. The focus is on improving detection, tracking, and identification of targets and threats, including those with low signatures, in any environment, while also integrating legacy sensors into sensor data fusion systems and fielding MOSA-compliant sensors to enable rapid data fusion.
Data Analytics & Machine Learning: Harnessing AI/ML algorithms to rapidly process vast amounts of data from diverse sources at the tactical edge. This enables predictive maintenance, automated target recognition, anomaly detection, and turns raw data into mission-relevant intelligence to accelerate decision-making.