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Safe Pro to Demonstrate AI-Powered Mission Planning at U.S. Army Fort Leonard Wood Maneuver Support Center of Excellence Event

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Safe Pro (Nasdaq: SPAI) will demonstrate its NODE-X AI edge platform and SPOTD threat detection at the U.S. Army 2026 Joint Protection Combined Expo (JPCE) at Fort Leonard Wood on April 28–29, 2026.

Safe Pro highlights recent U.S. Army live-fire exercise success, the backpack-mounted NODE-X for offline drone imagery processing, and a training dataset of >2.6 million drone images with 47,000 confirmed detections focused on landmine and UXO threats.

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AI-generated analysis. How Rhea-AI works. Not financial advice.

Positive

  • JPCE demonstration to U.S. Army leaders on April 28–29, 2026
  • Live-fire validation of patented AI workflows in U.S. Army exercises
  • Large training dataset: >2.6 million drone images and 47,000 confirmed detections

Negative

  • No procurement contract or material award disclosed with the U.S. Army
  • Training data sourced from Ukraine, which may pose geopolitical or data-access risks

News Market Reaction – SPAI

-1.83%
-1.83% News Effect

On the day this news was published, SPAI declined 1.83%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

What This Means

This announcement highlights another U.S. Army forum where Safe Pro plans to showcase NODE-X and SPO...
Analysis

This announcement highlights another U.S. Army forum where Safe Pro plans to showcase NODE-X and SPOTD, leveraging a dataset of 2.6 million images and 47,000 confirmed threat detections. It continues a run of AI-focused defense updates that previously averaged 8.66% next-day moves. Investors may watch for follow-on contracts, expanded Army use cases, and any stockholder resales under the 2,000,000-share S-3 registration.

Key Figures

Drone image dataset: 2.6 million images Confirmed threat detections: 47,000 detections Threat types detectable: More than 150 types +5 more
8 metrics
Drone image dataset 2.6 million images Training data for NODE-X landmine and UXO threat detection AI
Confirmed threat detections 47,000 detections Real-world small-threat detections in NODE-X training dataset
Threat types detectable More than 150 types Landmines and UXO SPOTD AI is capable of identifying
JPCE event dates April 28–29, 2026 U.S. Army Joint Protection Combined Expo at Fort Leonard Wood
Current share price $4.36 Pre-news price vs 52-week range of $2.39–$9.1599
52-week high discount -52.4% Price vs 52-week high of $9.1599 before this AI demo news
Volume vs 20-day avg 83,016 vs 194,809 Pre-news trading activity on the announcement date
Resale registration shares 2,000,000 shares S-3 resale tied to October 2025 PIPE at $7.00 per share

Previous AI Reports

5 past events · Latest: Apr 15 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Apr 15 AI live-fire exercise Positive +6.1% U.S. Army live-fire exercise validating SPOTD edge AI for rapid mine detection.
Apr 13 AI product launch Positive +11.6% Commercial rollout of NODE-X miniaturized AI edge processor for drone imagery.
Apr 01 AI support order Positive +5.0% Contract modification to continue AI Edge Processing support under U.S. Government subcontract.
Mar 02 AI delivery milestone Positive +7.8% Completed delivery under $1,000,000 AI edge-processing subcontract within 15 days.
Feb 25 AI demo event Positive +12.7% Planned AI demo at U.S. Army Transforming in Contact 2.0 Autonomous Breach event.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent AI-tagged announcements tied to U.S. Government and Army exercises have consistently seen positive next-day price reactions, suggesting investors have rewarded progress on AI edge-processing deployments.

Recent Company History

Over recent months, Safe Pro has repeatedly highlighted AI-focused milestones with U.S. Government and Army partners. AI-tagged events on Feb 25, Mar 2, Apr 1, Apr 13, and Apr 15, 2026 covered rapid delivery of AI edge systems, support orders, NODE-X rollout, and successful live-fire exercises. Each drew a positive next-day move, framing this new Fort Leonard Wood AI mission-planning demo as a continuation of that defense-oriented AI commercialization track.

Historical Comparison

+8.7% avg move · Across five recent AI-tagged Army and U.S. Government updates, SPAI’s average next-day move was 8.66...
AI
+8.7%
Average Historical Move AI

Across five recent AI-tagged Army and U.S. Government updates, SPAI’s average next-day move was 8.66%, framing this Fort Leonard Wood AI demo within an established pattern of price sensitivity to AI-defense news.

AI-tagged news shows progression from demos and government AI contracts to rapid deliveries, live-fire validation, and now mission-planning demonstrations at senior U.S. Army forums, highlighting a steady build-out of defense-focused AI deployments.

Regulatory & Risk Context

Active S-3 Shelf · Short Interest: 2.71%
Shelf Active
Short Interest
2.71% of shares outstanding
as of 2026-05-29 Days to cover: 1
Active S-3 Shelf Registration 2025-11-07

An effective S-3 resale registration has been filed for up to 2,000,000 shares held by selling stockholders tied to the October 2025 PIPE at $7.00 per share. The company is not selling shares under this registration and will not receive proceeds from any stockholder resales.

Key Terms

ai edge platform, edge-processing, gpu, short-range reconnaissance (srr), +4 more
8 terms
ai edge platform technical
"will demonstrate its NODE-X AI edge platform and SPOTD threat detection technology"
A system that runs artificial intelligence models directly on local devices—such as phones, sensors, cameras or factory machines—instead of sending raw data to distant cloud servers. For investors this matters because processing at the 'edge' can cut delays, lower bandwidth and storage costs, improve privacy, and enable new product features and revenue streams; think of it as putting a mini brain in each device rather than always calling a central office.
edge-processing technical
"newly introduced NODE-X, a miniaturized AI edge-processing solution for mission planning"
Edge-processing means running data analysis and computing tasks on devices close to where data is created — like phones, sensors, or factory machines — rather than sending everything to a remote data center. For investors, it matters because it can cut communication costs, speed up responses, improve privacy, and enable new real‑time products; think of it as doing the quick work at the kitchen counter instead of hauling ingredients back and forth to a distant restaurant.
gpu technical
"edge-processing system with ruggedized GPU laptops running Safe Pro’s OnSight"
A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.
short-range reconnaissance (srr) technical
"compatible with U.S. Army-approved Short-Range Reconnaissance (SRR) drones"
Short-range reconnaissance (SRR) is the use of sensors, small vehicles, drones or personnel to gather timely information about nearby areas, objects or activities. For investors, SRR matters because demand for these capabilities influences defense and security companies’ sales, product development and contract awards—similar to how a neighborhood watch’s tools and staffing affect local safety and the value of services that support it.
unexploded ordnance (uxo) medical
"landmines, cluster munitions, unexploded ordnance (UXO), and ambush drones"
Unexploded ordnance (UXO) are bombs, shells, mines or other explosive devices that did not detonate when they were used or discarded and remain dangerous in the ground or water. For investors, UXO matters because they can halt construction, add large cleanup and liability costs, complicate land development or real estate transactions, and trigger regulatory action — like discovering a hidden time bomb that requires specialized removal before work can continue.
orthomosaics technical
"3D models, orthomosaics, and digital surface models that incorporate vegetation height"
An orthomosaic is a single, large image created by stitching together many overlapping aerial photos and correcting them so distances and shapes match true ground measurements, like flattening and aligning a paper map. Investors care because it turns drone or satellite pictures into accurate, measurable maps for monitoring land, construction progress, crop health, or mining volumes—helping quantify asset changes, detect problems, and support data-driven decisions.
digital surface models technical
"orthomosaics, and digital surface models that incorporate vegetation height, terrain slope"
A digital surface model (DSM) is a 3D map that captures the elevation of everything visible on the earth’s surface—ground plus buildings, trees and other objects—like a topographic snapshot from above. Investors use DSMs to assess physical risks and opportunities—for example, modeling flood exposure, planning where to place telecom towers or solar panels, valuing property with view/height data—because they turn complex terrain and built features into measurable, visual data.
machine learning (ml) technical
"uses AI and machine learning (ML) algorithms trained on one of the world’s largest"
Machine learning (ML) is a way computers can automatically find patterns and make decisions based on large amounts of data, without being explicitly programmed for each task. For investors, it matters because it helps identify trends, predict future outcomes, and improve decision-making, much like how a seasoned expert might spot opportunities by recognizing subtle clues. This technology enables smarter analysis and more informed investment choices.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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U.S. Army Event is Part of the 2026 Protection Senior Leader Forum at Fort Leonard Wood Maneuver Support Center of Excellence, Bringing Together Senior Army Leaders and Key Decision Makers

AVENTURA, Fla., April 27, 2026 (GLOBE NEWSWIRE) -- Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a developer of artificial intelligence (AI)-enabled defense, security, and situational awareness solutions, will demonstrate its NODE-X AI edge platform and SPOTD threat detection technology at the U.S. Army’s 2026 Joint Protection Combined Expo (JPCE) at Fort Leonard Wood, Missouri, from April 28–29, 2026.

The multi-day event at Fort Leonard Wood (FLW) is headlined by the Protection Senior Leader Forum, which facilitates dialogue between senior U.S. Army leaders, subject matter experts, and decision makers regarding the Maneuver Support Center of Excellence’s (MSCoE) vision for formation-based layered protection. This Army engineer centric forum is a prime setting for Safe Pro’s proven AI workflows to interact with engineer leadership globally to inform the engineer community of the latest proven AI tools shaping battlefield and maneuver planning.

At JPCE, Safe Pro will highlight its recent success in U.S. Army live-fire exercises using its patented AI platform and the newly introduced NODE-X, a miniaturized AI edge-processing solution for mission planning. NODE-X is designed to support military maneuver operations by rapidly processing drone footage for mission planning, threat detection, 3D mapping, as well as supporting force protection in conjunction with Safe Pro’s ballistic protection products.

“Relationships and momentum with engineering units of the U.S. Army is building following the successful completion of our latest live-fire exercise that put our patented AI to the test in front of senior commanders and stakeholders. By delivering rapid, reliable, threat detection at the tactical edge, we are clearly demonstrating the value we bring to Engineer Reconnaissance Teams and further validating why our capabilities should be fielded across the Army in support of maneuver forces,” said Dan Erdberg, Chairman and CEO of Safe Pro Group Inc. 

NODE-X is the next generation of the Company’s AI-powered toolset, enabling rapid processing of drone imagery for AI threat detection, 3D mapping, and automated route guidance. Designed as a backpack kit, NODE-X combines real-time AI inference on an edge-processing system with ruggedized 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 uses AI and machine learning (ML) algorithms trained on one of the world’s largest real-world drone imagery datasets focused on landmine and UXO threat detection, sourced from Ukraine. The dataset includes over 2.6 million drone images and 47,000 confirmed detections of small threats such as landmines, cluster munitions, unexploded ordnance (UXO), and ambush drones. Operating on the edge without the need for connectivity, NODE-X fuses AI-detected threats with rapidly generated 3D models, orthomosaics, and digital surface models that incorporate vegetation height, terrain slope, and automated route planning. NODE-X’s rapidly deployable design and intuitive software interface provide soldiers and military commanders with enhanced battlefield situational awareness, making it an ideal solution for a wide range of reconnaissance and maneuver support missions.

The Company’s SPOTD AI platform analyzes 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 across defense, 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 such as active and legacy minefields.

For more information about Safe Pro’s real-world landmine and UXO detections, visit: https://safeproai.com/landmine-detections/. Information about Safe Pro Group, its subsidiaries, and technologies, can be found at https://safeprogroup.com and you can connect with us on LinkedIn, Facebook, and X.

About Safe Pro Group Inc.
Safe Pro Group Inc. (Nasdaq: SPAI) is a mission-driven technology company delivering AI-enabled security and defense solutions. Through cutting-edge platforms like SPOTD, Safe Pro provides advanced situational awareness tools for defense, humanitarian, and homeland security applications globally. The Company is a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing, leveraging commercially available off-the-shelf drones with its proprietary machine learning and computer vision technology to enable rapid identification of explosive threats, providing a safer and more efficient alternative to traditional human-based analysis methods. Built on a cloud-based ecosystem and powered by Amazon Web Services (AWS), Safe Pro Group’s scalable platform targets multiple markets, including commercial, government, law enforcement, and humanitarian sectors where its Safe Pro AI software, Safe-Pro USA protective gear, and Airborne Response drone-based services can work in synergy to deliver safety and operational efficiency. For more information on Safe Pro Group Inc., please visit https://safeprogroup.com

Forward-Looking Statements
Some of the statements in this press release are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934, and the Private Securities Litigation Reform Act of 1995, which involve risks and uncertainties. Forward-looking statements relate to future events, future expectations, plans, and prospects. Forward-looking statements in this press release include, without limitation, Safe Pro’s ability to support U.S. Army operations, its ability to integrate its technology with third-party systems, and the acceptance of its solutions by potential government, military, and humanitarian organizations. Although Safe Pro Group believes the expectations reflected in such forward-looking statements are reasonable as of the date made, expectations may prove to have been materially different from the results expressed or implied by such forward-looking statements. Safe Pro Group has attempted to identify forward-looking statements by terminology including “believes,” “estimates,” “anticipates,” “expects,” “plans,” “projects,” “intends,” “potential,” “may,” “could,” “might,” “will,” “should,” “seek," "target," "forecast," "continue," "approximately,” or other words that convey uncertainty of future events or outcomes to identify these forward-looking statements. These statements are only predictions and involve known and unknown risks, uncertainties, and other factors, including market and other conditions. More detailed information about the Company and the risk factors that may affect the realization of forward-looking statements is set forth under Item 1A in the Company’s most recently filed Form 10-K and updated from time to time in the Company’s Form 10-Q filings and in other filings with the Securities and Exchange Commission (the “SEC”), copies of which may be obtained from the SEC’s website at www.sec.gov. Any forward-looking statements contained in this press release speak only as of its date. Safe Pro Group undertakes no obligation to update any forward-looking statements contained in this press release to reflect events or circumstances occurring after its date or to reflect the occurrence of unanticipated events, except as required by law.

Media Relations for Safe Pro Group Inc.:
media@safeprogroup.com 

Investor Contact:
Ankit Hira, Managing Director
Solebury Strategic Communications for Safe Pro Group Inc.
spai@soleburystrat.com

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/f8f49050-3f4b-4fbd-8f98-7f59d002b647


FAQ

What will Safe Pro (SPAI) demonstrate at the U.S. Army JPCE on April 28–29, 2026?

Safe Pro will demonstrate its NODE-X AI edge platform and SPOTD threat detection to senior Army leaders at JPCE. According to Safe Pro, the demo showcases NODE-X’s backpack-mounted AI inference, offline drone imagery processing, and 3D mapping for mission planning.

How did Safe Pro validate NODE-X and SPOTD for military use before JPCE 2026?

Safe Pro says it validated its AI in U.S. Army live-fire exercises in front of senior commanders and stakeholders. According to Safe Pro, those exercises tested patented AI workflows for rapid threat detection and mission-planning support at the tactical edge.

What dataset powers Safe Pro’s SPOTD AI, and how large is it for threat detection?

According to Safe Pro, SPOTD is trained on a dataset of over 2.6 million drone images and 47,000 confirmed detections. The company says the dataset focuses on small threats such as landmines, cluster munitions, UXO, and ambush drones.

What capabilities does NODE-X offer for military maneuver planning and reconnaissance?

NODE-X provides real-time AI inference on edge hardware, 3D mapping, orthomosaics, vegetation and slope data, and automated route planning. According to Safe Pro, it operates without connectivity and integrates with Short-Range Reconnaissance drones for battlefield situational awareness.