SBIR/STTR Research Award

Frac-Adapt: Generative AI-Powered Fractal Analysis for Terrain Adaptation and Predictive Maintanence.

Award identifier 340643ae95a0bc46f78413760778b847138e5e9eccc0b77ce2978fcd5a38d813Awarding agency Department of Defense · Office of the Secretary of Defense

Award amount

$148,480

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
GEOGIZMODO LLC
Proposal award date
2025-08-25
Contract end date
2026-02-27
UEI
TUEPD6EHLZZ8
Solicitation number
25.4
Topic code
OSD254-P001

Research abstract

Frac-Adapt: Generative AI-Powered Fractal Analayis for Terrain Adaptation and Predictive MaintanenceáFrac-Adapt, developed by GeoGizmodo LLC, is a groundbreaking solution designed to transform military operations by addressing critical challenges in terrain analysis, vehicle maintenance, and mission planning. By seamlessly integrating generative AI with fractal analysis, Frac-Adapt equips military strategists and logistics planners with the tools needed to operate effectively in complex and ever-changing environments.áAt its core, Frac-Adapt employs a cutting-edge Generative Adversarial Network (GAN) to create high-resolution terrain heightmaps based on vast datasets, including satellite imagery and digital elevation models. These synthesized terrains provide an unparalleled level of realism and detail, capturing a variety of landscapes from steep mountainous regions to flat expanses. Through fractal analysis techniques like box-counting, Frac-Adapt quantifies the complexity of these terrains, delivering critical insights into how environmental factors influence vehicle performance, stress points, and operational challenges.áA key innovation is Frac-Adaptĺs multi-scale terrain analysis, which progressively increases resolution to uncover fine details. This granular understanding of terrain characteristics allows for informed decision-making regarding vehicle deployment, maintenance scheduling, and mission planning, ensuring optimal performance in diverse operational contexts.áFrac-Adaptĺs predictive maintenance module is another cornerstone. Leveraging a Long Short-Term Memory (LSTM) neural network, it analyzes fractal dimensions and real-time telemetry data to accurately forecast maintenance needs. By identifying high-stress points and usage patterns, Frac-Adapt helps mitigate wear and tear, extend vehicle lifespans, and minimize costly breakdowns. Additionally, the platform offers dynamic path recommendations that reduce vehicle stress, improve efficiency, and ensure timely mission execution.áTo meet the unique demands of military operations, Frac-Adapt is built on a robust AWS-based infrastructure that can also integrate with milCloud. Using Amazon ECS, AWS Fargate, Lambda, high-volume streaming data ingestion platforms, and ML services like SageMaker and Bedrock, Frac-Adapt delivers low-latency, highly available, and scalable performance. This architecture supports seamless deployment across a spectrum of military scenarios, from tactical field operations to global strategic planning initiatives.áBy combining real-time maintenance insights, advanced terrain analysis, and operational planning tools, Frac-Adapt goes beyond traditional solutions to provide actionable intelligence that enhances mission readiness, reduces operational costs, and optimizes resource utilization. This innovative system is poised to revolutionize military operations, delivering unparalleled efficiency, adaptability, and reliability in the most challenging environments.á

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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