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Publicly Available Information (PAI) Ensemble Fusion

Active
Federal

Contract Overview

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

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This subcontract, managed by the Department of Defense under the AFRL RIK agency, focuses on the development of ensemble fusion methods for Publicly Available Information. The primary objective is to support prime contractors on AFRL Information Directorate projects by implementing OSINT big data analytics and ensemble machine learning techniques. These efforts are designed to significantly enhance the accuracy and reliability of intelligence streams derived from publicly available sources. The successful execution of this contract will result in the delivery of a comprehensive PAI ensemble fusion framework or specialized toolset. Classified under NAICS code 541511, the project emphasizes the integration of advanced computational methods to refine the processing of large-scale open-source data for strategic intelligence purposes.

General Info

DoD subcontract developing PAI ensemble fusion methods and OSINT big data analytics tools.

Agency

Department Of Defense → FA8750 Afrl RikView Agency

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

NY

Set-Aside

NONE

Documents

This scope was carved out of FA875023S7008.

The full solicitation package (10 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

ADAPTIVE FUSION, & REASONING OF MULTI-SOURCE DATA (AFAR)

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Timeline

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subcontract

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8750 Afrl Rik
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → FA8750 Afrl Rik
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops ensemble fusion methods for Publicly Available Information (PAI) for prime contractors on AFRL Information Directorate projects. Implements OSINT big data analytics and ensemble machine learning to increase the accuracy and reliability of PAI-derived intelligence streams. Delivers a PAI ensemble fusion framework or toolset.

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Same NAICS industry code

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Same awarding agency

NAICS: 541715
New
Federal
ADAPTIVE FUSION, & REASONING OF MULTI-SOURCE DATA (AFAR)
Solicitation # FA875023S7008
The Department of the Air Force, through the Air Force Research Laboratory Information Directorate, has issued Broad Agency Announcement FA8750-23-S-7008 for Adaptive Fusion, Analysis and Reasoning of multi-source data. This open, two-step BAA is effective until August 29, 2028, and seeks innovative approaches to enhance Command, Control, Communications, Computers and Intelligence and Cyber Science missions. The research is categorized into four primary focus areas: Adaptive Knowledge and Information for Target Analysis, Enhancing Moving Target Engagement at Scale, Publicly Available Information Ensemble Fusion, and Agentic AI Workflows for Dynamic Operational Contexts. The total estimated funding ceiling for the program is 99.9 million dollars, with multiple awards anticipated. Individual awards typically range from 500,000 to 3 million dollars and generally do not exceed a duration of 36 months. The government may utilize various award instruments, including FAR-based procurement contracts, CFR-based grants, cooperative agreements, and Other Transactions for Prototypes. The submission process begins with the submission of a three-to-five page white paper; formal proposals are accepted by invitation only. Evaluation is based on a best-value determination, prioritizing overall scientific and technical merit, related experience, the openness and maturity of the solution, and the realism of proposed costs. Due to the nature of the research, strict security requirements are in place, including the necessity for Secret or Top Secret clearances for key personnel and adherence to Science and Technology protection guidelines to mitigate foreign influence.
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

POSTED

4 days ago

DEADLINE

in almost 2 years
View Details
NAICS: 541715
Federal
Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT)
Solicitation # FA8750-25-S-7004
The Department of the Air Force, through the Air Force Materiel Command and AFRL Rome Research Site, has issued Broad Agency Announcement FA8750-25-S-7004 for Multi-Domain Force Applications and Traffic Management for Unmanned Aircraft Systems (M-FAT). This open, two-step BAA is effective until August 4, 2030, and seeks innovative research to enhance Counter-small Unmanned Aerial System (C-sUAS) kill chain and point defense capabilities. Key areas of interest include Electronic Warfare, Cyberspace Operations, Command and Control (C2) automation and autonomy, Low-Collateral Defeat interceptors, sensor technologies, and UAS Traffic Management (UTM). The goal is to improve system resiliency in contested environments, optimize responses to swarm attacks through AI/ML and sensor fusion, and develop resilient communication waveforms and networking protocols. Total estimated funding for this effort is approximately 499 million dollars, with individual awards typically ranging from 500 thousand to 20 million dollars, though some may reach up to 99 million dollars. Awards may be issued as FAR-based procurement contracts, grants, cooperative agreements, or Other Transactions. The selection process begins with the submission of a one to four page white paper, with formal proposals accepted by invitation only. Evaluation is based on technical merits and mission relationship, which are equal in importance, while cost is of less importance. Additionally, the BAA incorporates Gold Standard Science principles per Executive Order 14303 and requires strict adherence to S&T Protection and cybersecurity standards, including NIST SP 800-171 assessments.
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

POSTED

about 1 month ago

DEADLINE

in almost 4 years
View Details

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