Allows small businesses to submit to Direct to Phase II applications if they performed the Phase I research through other funding sources.
Recent advancements in meta lens technology show promise for reducing the size and cost of optical sensors used for daytime (solar) celestial navigation. This topic’s objective is to design and prototype a solar compass that leverages meta lens technology to increase performance while reducing weight and cost.
Meta Lens Solar Compass Read More »
The aim of this topic is to harness advanced artificial intelligence/machine-learning (AI/ML) technologies to enhance The Integrated Personnel and Pay System- Army (IPPS-A) by achieving the following objectives:
Human Resources/Pay Data Quality Enhancement: Ensure high data integrity and reliability and develop generative AI or ML solutions to identify and rectify data inaccuracies, inconsistencies, and complete missing information.
HR/Pay Anomaly Detection and Prevention: Implement AI-driven mechanisms to detect anomalies, prevent data duplication, and ensure ongoing data quality improvement, adapting to evolving operational needs.
AI-tool for Data Quality Management of Human Resources Database Read More »
Celestial compasses used in handheld targeting systems are typically comprised of multiple optical channels for day (sun) and night (stars). During twilight (sunrise and sunset) the sun is low on the horizon and is potentially occluded and stars are not yet fully visible.
Emerging sky polarization sensors can bridge the twilight gap and provide Soldiers accurate target azimuth. Combining the night (star) and polarization optical channels reduces system weight, complexity, and cost.
Single Aperture Night plus Polarization Compass Read More »
The Army SBIR program is partnering with the xTech program to launch xTechOverwatch, a prize competition designed to identify and advance cutting-edge technology solutions for the Army. With up to $1 million in cash prizes, this competition provides small businesses with a unique opportunity to showcase their innovations while receiving valuable feedback from technical experts, acquisition professionals, and end-users.
xTechOverwatch Open Topic Read More »
This topic seeks to develop a solution that passively detects and identifies small unmanned aerial systems (sUAS) at low altitudes and various velocities. The objective of this effort is to increase the advance warning time of small incoming threats for ground-based units.
Low-Altitude Passive Detection System Read More »
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.
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.
Wearable Sensors to Monitor Environmental and Occupational Impacts to Brain Health Read More »
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
AI-enabled Portfolio Management Read More »
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.
AI Enabled Source Selection Solution for Contract Proposal Evaluation Read More »
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.
Artificial Intelligence for Aided Driving of Ground Combat Vehicles Read More »
