SBIR/STTR Research Award

AF241-0010 - Improved Digital Engineering Techniques for Test Data Leveraging

Award identifier b76cb2ae021fbbe1cd8d4c68005a43a20311cc4f85ce437b6d5ee3fffcc710c4Awarding agency Department of Defense · Air Force

Award amount

$179,951

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
NEOSKYE INC
Proposal award date
2024-07-19
Contract end date
2025-04-22
UEI
EUNHL9KYVJS7
Solicitation number
24.1
Topic code
AF241-0010

Research abstract

Neoskye Inc. proposes an innovative solution to revolutionize predictive maintenance in digital engineering, specifically targeting the enhancement of military aircraft survivability. The initiative aims to adeptly process and analyze extensive datasets by utilizing a blend of advanced deep learning models, such as CNNs, RNNs, LSTMs, and Transformers. This approach facilitates the optimization of maintenance schedules and minimizes downtime. Through a microservices-based architecture, the proposal ensures scalability and integrates cutting-edge data processing pipelines alongside real-time analytics. Neoskye's strategy is designed to significantly boost predictive accuracy, model interpretability, and operational efficiency. By focusing on algorithmic customization, extensive testing, and ongoing refinement, this comprehensive framework aspires to surpass existing predictive modeling limitations, establish a new benchmark for AI integration in military applications, and bolster strategic decision-making and planning. At the heart of Neoskye's approach lies a deep understanding of military operations' dynamic and data-intensive nature. By leveraging advanced neural networks and machine learning algorithms, Neoskye aims to deliver a solution that will adapt to evolving threat landscapes and maintenance needs. The proposed system is designed to seamlessly integrate with existing military data infrastructures, ensuring a smooth transition and immediate impact on operational efficiency. Neoskye's solution is built on a robust microservices architecture, ensuring the system is scalable and flexible. This architecture facilitates the integration of new technologies and methodologies as they become available, ensuring that the solution remains at the forefront of technological advancements. By focusing on continuous improvement and adaptability, Neoskye demonstrates its dedication to providing the military with a tool that meets its current needs and anticipates future challenges. Neoskye Inc.'s research represents a forward-thinking approach to digital engineering in a military context. By harnessing the power of AI and deep learning, Neoskye sets a new standard for predictive maintenance, offering unparalleled accuracy, efficiency, and strategic advantage. This initiative not only underscores Neoskye's role as a leader in military technology innovation but also its commitment to enhancing the safety, readiness, and effectiveness of military operations around the globe.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

8 SBIR/STTR records share this UEI (2022–2025). Reported award amounts total $2,866,171. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Health and Human Services, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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