Safe Pro Group (NASDAQ: SPAI) announced it has been invited to train and equip soldiers with its patented SPOTD Edge AI battlefield threat detection system during a U.S. Army Force-on-Force combat training exercise scheduled for the second quarter of 2026. The exercise, one of the Army’s most realistic combat training environments, will allow Safe Pro to demonstrate rapid AI-powered explosive threat identification and enhanced battlefield mapping capabilities in simulated live combat conditions.
The company plans to showcase its NODE-X tactical edge intelligence platform, a ruggedized, backpack-sized system designed to analyze drone imagery in the field without internet or cloud connectivity. Powered by Safe Pro’s patented SPOTD technology and trained on a dataset of more than 2.75 million drone images, the platform can detect more than 150 types of explosive threats while providing 3D terrain mapping, orthomosaic generation and automated route planning to support battlefield decision-making.
This selection underscores the growing importance of AI-driven solutions in modern warfare, where rapid threat detection can significantly enhance soldier safety and operational efficiency. By integrating SPOTD into a force-on-force exercise, the U.S. Army aims to evaluate the system's performance under high-stress, realistic conditions. The NODE-X platform's edge computing capability ensures that analysis occurs in real-time, even in environments lacking connectivity, which is critical for forward-deployed units.
Safe Pro's technology addresses a key challenge in counter-improvised explosive device (IED) operations: the need for immediate, accurate threat identification. Traditional methods often require sending imagery to centralized servers for analysis, causing delays. With NODE-X, soldiers can process drone footage on the spot, enabling faster decision-making and reducing exposure to danger.
The company's SPOTD AI has already been used in humanitarian demining efforts, and its adaptation for military use represents a natural progression. The dataset of 2.75 million drone images provides a robust foundation for machine learning models, allowing the system to recognize a wide array of explosive devices, including IEDs, mines, and unexploded ordnance.
For more information on the full press release, visit https://ibn.fm/uo5j4. Additional updates on Safe Pro Group are available in the company’s newsroom at http://ibn.fm/SPAI.
