SBIR/STTR Research Award

Leveraging Generative AI and Synthetic Cognition for Mission Optimization and Workforce Development in Defense Operations

Award identifier 2a9fe1312bd52802f0630f26609f3f7fdbb1ffb5e950b7370b4324516c2ca4c2Awarding agency Department of Defense · Office of the Secretary of Defense

Award amount

$101,261

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Office of the Secretary of Defense
Recipient company
Redwood Strategy Group, Inc.
Proposal award date
2025-08-18
Contract end date
2026-02-17
UEI
W8LMXYRKDTB6
Solicitation number
25.4
Topic code
OSD254-P001

Research abstract

The DoD faces challenges due to talent attrition, leading to a loss of critical institutional knowledge and diminished mission effectiveness. Outdated processes and insufficient training further hinder swift and effective responses to emerging threats. Addressing these issues requires advanced technologies to streamline operations and enhance workforce capabilities.áIn the rapidly evolving landscape of defense operations, integrating advanced technologies like Generative AI (GenAI) and Synthetic Cognition (SynCog) offers unprecedented opportunities for mission optimization and workforce development. This project explores these technologies' applications to enhance operational efficiency, strategic decision-making, and personnel training within defense sectors. The solution aims to support Department of Defense (DoD) components in responding to risks and threats with greater velocity, aligning with high criticality requirements for readiness and mission success.áThe solution proposes adopting the Microsoft Generative AI application stack, leveraging existing enterprise licenses for advanced AI and Quantum computing capabilities. Our solution leverages GenAI algorithms to simulate various scenarios, providing robust tools for mission planning and execution. These algorithms, trained with curated agency data and expert knowledge, create a dynamic model for processing workloads in financial, human capital, operational, and mission domains. The AI SynCog Model, built on reliable domain knowledge and continuously enhanced through algorithm training, supports various configurations, including fully autonomous and semi-autonomous systems. Key applications include scenario simulation, predictive analytics, and resource allocation, enabling effective risk assessment and contingency planning.áNear-term solutions will be focused on addressing business issues prohibiting DoD auditability, including issues like closing out ULOs, reconciling fund balances, enhancing asset accountability, improving workforce planning, and strengthening performance monitoring. Longer-term solutions will be focused on applying these technologies to integrate diverse data across system platforms for enhanced decision capabilities in other DoD domains, including supply chain, asset management, and warfighting.áBy adopting this solution, the DoD and other organizations can benefit from enhanced decision-making, improved efficiency, knowledge retention, risk mitigation, and advanced training using tools commonly available today on every usersĺ desktop to solve complex issues vice costly investments in niche software solutions and licenses that arenĺt widely implemented across the department. Further differentiation lies in its dynamic, adaptive models and the use of highly curated data, ensuring reliability and effectiveness. The convergence of GenAI and SynCog represents a transformative shift in defense operations, promising greater mission efficiency and a more skilled workforce.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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