Artificial Intelligence Integration Center (AI2C) - Broad Agency Announcement (BAA)

Key Dates

Due Date

Posted Date

Agency & Value

Agency

W6QK ACC-RI

Contract Value

Not provided

Codes & Classification

Solicitation Number

W519TC-24-S-XXXX

NAICS

—

Classification Code

—

Additional Details

Set Aside

None

Place of Performance

Pittsburgh, Pennsylvania, UNITED STATES

SourceSAM

Documents4

The Artificial Intelligence Integration Center (AI2C) Broad Agency Announcement (BAA), issued under procurement identifier W519TC-24-S-XXXX, represents a significant opportunity for organizations engaged in cutting-edge artificial intelligence (AI) research and development. Managed by the Army Contracting Command – Rock Island (W6QK ACC-RI), this BAA seeks to advance the Army’s capabilities through innovative research, translational approaches, and technology development in AI and machine learning (ML). Purpose and Scope: The primary objective of this BAA is to solicit whitepapers and proposals that support the identification, alignment, and exploitation of basic, applied, and advanced research in artificial intelligence. The Army AI2C is focused on fostering new technologies and methodologies that can be integrated into current and future warfighting systems, enhancing operational effectiveness, decision-making, and human-machine collaboration. The BAA is issued under the provisions of FAR 6.102(d)(2) and 35.016, as well as 10 U.S.C. 4001, 4021, and 4022, allowing for a broad range of research and development activities not tied to specific system or hardware procurement. Key Requirements and Areas of Interest: The BAA outlines several core research areas where the Army seeks innovative solutions: 1. Autonomous Platforms: Research into autonomous ground and air vehicles capable of operating in diverse environments, with emphasis on mobility, survivability, low-profile technologies, adaptive architectures, advanced sensing, and collaborative multi-platform autonomy. 2. AI/ML Algorithms: Development of scalable machine learning methods, data-efficient algorithms, foundation models across modalities, adaptation to novel tasks, and improved data management and tracking. 3. AI/ML Decision Support: Advancements in reinforcement learning, game theory, optimal control, online and offline decision-making algorithms, and increased autonomy and speed in operational and strategic planning. 4. Human-AI Integration: Solutions to reduce cognitive burden, enhance human-machine integration, improve data processing and summarization, robust evaluation methods, explainability, ethical compliance, and training for users and developers. 5. Synthetic Environments: Novel visualization techniques and synthetic environments to improve situational awareness, training, and readiness, including networked instrumentation for virtual-live validation. 6. Distributed AI: Research on managing distributed ML models, leveraging heterogeneous hardware, multi-agent collaboration, security and cyber protection, and performance optimization for edge devices. 7. Underpinning Methodologies: Frameworks, tools, and methodologies for data collection, standardization, rapid modeling, technology assessment, and integrated testing and evaluation. 8. Special Topics: AI2C will periodically post amendments with specific topics of high funding potential, each with defined submission deadlines and preparation guidelines. Expected Deliverables: Proposals should address one or more of the outlined research areas, presenting innovative concepts, methodologies, or technologies that can be transitioned into Army operations. Deliverables may include research findings, prototypes, algorithms, frameworks, or validated models, depending on the nature of the proposed work. Contracting and Funding Mechanisms: AI2C is open to awarding a variety of instruments, including FAR-based procurement agreements, grants, cooperative agreements, technology investment agreements, and other transactions. Cost sharing is permitted but not required, and collaboration agreements such as Cooperative Research and Development Agreements (CRADAs) may be negotiated separately. The BAA encourages diverse funding constructs, including government funding, in-kind contributions, and facility sharing. Eligibility and Compliance: Prospective awardees must demonstrate financial responsibility, technical capability, operational controls, relevant experience, and suitable facilities. All activities must comply with federal statutes and DoD/Army policies regarding non-discrimination and equal opportunity. Contracting Entity and Contact Information: - Contracting Entity: W6QK ACC-RI (Army Contracting Command – Rock Island) - Location: Pittsburgh, Pennsylvania, United States - Primary Contact: Taylor Gross ([email protected]) - Secondary Contact: Joseph Artioli ([email protected]) - Submission Email: usarmy.pittsburgh-pa.futures-cmd.mbx.ai2c-baa-submissions@army.mil Procurement Type and Special Considerations: This is a Broad Agency Announcement (BAA) under full and open competition, compliant with the Competition in Contracting Act. There are no set-aside requirements specified. The BAA is designed to remain flexible, accommodating a wide range of research topics and funding mechanisms throughout its lifecycle. Amendments may introduce special topics with unique submission requirements. Additional Information: Interested parties should review the full BAA and its attachments for comprehensive details, including selection criteria and submission instructions. The opportunity is active, with a response deadline of July 16, 2026. All official documents and updates are available via the SAM.gov opportunity page (https://sam.gov/opp/75ac2ea6b5f743388731c6cd7b45428d/view). Summary: This BAA offers a robust platform for organizations specializing in AI and ML to contribute to the Army’s future capabilities. The scope encompasses foundational research, applied technology development, and translational approaches across a spectrum of AI domains. Contractors with expertise in autonomous systems, advanced algorithms, human-machine integration, synthetic environments, distributed AI, and supporting methodologies are encouraged to consider this opportunity, aligning their capabilities with the Army’s strategic research interests.