Safe Pro Group, a developer of artificial intelligence (AI)-enabled defence, security, and situational awareness solutions, today announced that it has completed a U.S. Army live fire exercise where Safe Pro’s patented AI technology was utilised to rapidly process drone imagery on the edge to locate live scattered mines and share that intelligence with commanders to support their mission planning. This exercise follows an initial Government contract for AI-powered edge processing and the recent commercial rollout of NODE-X, a Next Gen miniaturised AI-powered edge compute processor of drone footage for threat detection in military manoeuvre support missions.

“We are honoured to have been invited to work side-by-side with our Army stakeholders in the field during this high-pressure exercise. We believe that through these live minefield exercises, the Army is gaining increased confidence in our capabilities as we work together, gather soldier feedback, and deliver battle-tested capabilities that our customers need fielded,” said Dan Erdberg, Chairman and CEO of Safe Pro Group Inc. “As we enter Q2, we are building strong momentum with our customers and are continuing to engage in discussions on how our AI technologies can help support their requirements in the short, medium and long term.”

Safe Pro’s NODE-X is scheduled to take part in additional U.S. Army exercises through the second quarter of 2026 as the Company builds momentum towards rapid expansion. NODE-X is the next generation of Safe Pro’s AI-powered ecosystem of tools enabling the rapid processing of drone imagery for AI threat detection, 3D mapping and automated route guidance. The NODE-X is designed as a backpack kit that includes real-time AI inference on a powerful edge compute machine and ruggedised GPU laptops running Safe Pro’s OnSight Windows-based software application compatible with U.S. Army-approved Short-Range Reconnaissance (SRR) drones.

Powered by the patented Safe Pro Object Threat Detection (SPOTD) technology, NODE-X utilises AI and machine learning (ML) algorithms trained on one of the world’s largest real-world imagery datasets from Ukraine, including 2.6 million drone images and 47,000 confirmed detections of small threats, including landmines, cluster munitions, unexploded ordnance (UXO) and ambush drones. Operating on the edge without the need for connectivity, NODE-X incorporates AI-detected threats with the rapid generation of 3D models, orthomosaics, and digital surface models, including vegetation height, terrain slope and automated route planning. NODE-X’s rapidly field-deployable design and intuitive software interface provide soldiers and military commanders with critical battlefield situational awareness, making it an ideal solution for an array of reconnaissance missions.

The Company’s SPOTD AI platform analyses imagery and video from virtually any drone to automatically detect and classify explosive threats and other objects of interest. The platform converts raw video into high-resolution 2D/3D geospatial models that can be rapidly shared to support operational decision-making in defence, security, and humanitarian missions. SPOTD is capable of identifying more than 150 types of landmines and UXO, enabling scalable situational awareness across large, high-risk areas.