The U.S. Army Pacific (USARPAC) is interested in finding and developing capabilities that work for the Warfighter by experimenting early, often, and in-theater.
xTechPacific
Army SBIR
Assistant Secretary of the Army for Acquisition, Logistics, and Technology ASA(ALT) releases contract opportunities on an ad-hoc basis to meet Army research and development needs.
Wearable Sensors to Monitor Environmental and Occupational Impacts to Brain Health
The goal of this topic is to develop a wearable (integrated into kit or stand-alone applique) that measures 360-degree blast exposure to the wearer.
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Context-Aware Decision Support
Develop innovative capabilities that provide commanders with real-time, context-aware summaries and actionable insights by integrating dynamic data, enabling informed, unbiased decision-making that enhances training effectiveness and mission success.
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AI-enabled Portfolio Management
This platform will integrate tools and best practices in a central portal to modernize the Army’s acquisition process, supporting both Business-to-Business (B2B) and Business-to-Consumer (B2C) needs
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AI Enabled Source Selection Solution for Contract Proposal Evaluation
Provide a comprehensive software-as-a-service (SaaS) solution that automates and standardizes the evaluation and source selection processes while tailoring the user experience to the Army’s unique conditions/constraints.
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Ruggedized Sensors to Increase Driving Visibility and Vehicle Safety
Vehicle drivers could benefit from sensor systems that provide enhanced awareness of the vehicle surroundings and improve the driver’s ability to operate the vehicle in Degraded Visual Environments (DVE), such as nighttime or low-visibility weather conditions.
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Artificial Intelligence for Aided Driving of Ground Combat Vehicles
Develop and integrate Artificial Intelligence (AI) technology that can augment current and future sensor hardware enhancing the ability of the driver to maneuver and operate large, heavy, ground combat vehicles.
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Generative AI Enabled Tactical Network
The objective of this topic is to create a realistic modeling and simulation environment using Generative AI for NGC2, the Army’s new approach to a data-centric C2 architecture.
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Novel AI Techniques for Insights in Various Environments (NATIVE)
Organizations across various sectors are increasingly inundated with vast amounts of data, making it challenging to identify and analyze anomalies and patterns effectively.
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Bridge Health Monitoring System
The current methods for assessing military bridges rely on Preventative Maintenance Check and Services (PMCS) combined with fatigue monitoring crack gauges, which have proven insufficient for accurately determining a bridge’s remaining service life.
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