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Safe Pro Successfully Completes U.S. Army Exercise Featuring Rapid Threat Detection in Active Minefields Powered by Patented AI Edge Processing Using Drones

Rhea-AI Impact
(Moderate)
Rhea-AI Sentiment
(Positive)
Tags
AI

Safe Pro Group (Nasdaq: SPAI) completed a U.S. Army live-fire exercise on April 15, 2026, using its patented SPOTD AI to process drone imagery on the edge and locate live scattered mines within minutes to support mission planning.

The company highlighted NODE-X, a backpack AI edge compute kit, trained on a 2.6M-image dataset with 47,000 confirmed small-threat detections, and said NODE-X will join additional Army exercises through Q2 2026 as commercial rollout continues.

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Positive

  • Completed U.S. Army live-fire exercise demonstrating rapid mine detection
  • NODE-X deployment plan to join additional Army exercises through Q2 2026
  • Large training dataset of 2.6M drone images and 47,000 confirmed detections

Negative

  • None.

News Market Reaction – SPAI

+6.10%
4 alerts
+6.10% News Effect
+2.6% Peak Tracked
+$5M Valuation Impact
$91.91M Market Cap
0.6x Rel. Volume

On the day this news was published, SPAI gained 6.10%, reflecting a notable positive market reaction. Argus tracked a peak move of +2.6% during that session. Our momentum scanner triggered 4 alerts that day, indicating moderate trading interest and price volatility. This price movement added approximately $5M to the company's valuation, bringing the market cap to $91.91M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Drone imagery dataset: 2.6 million images Confirmed threat detections: 47,000 detections Threat types: More than 150 types +5 more
8 metrics
Drone imagery dataset 2.6 million images Training data for SPOTD and NODE-X from Ukraine operations
Confirmed threat detections 47,000 detections Small threats including landmines, cluster munitions and UXO
Threat types More than 150 types Landmines and unexploded ordnance identifiable by SPOTD
Current share price $4.10 Latest price before this news, <b>-55.24%</b> vs 52-week high
52-week range $1.96 – $9.1599 Price positioned well above low, far below high pre-announcement
PIPE proceeds $14.0 million Gross proceeds from October 2025 PIPE tied to resale registration
Government subcontract $1,000,000 AI edge processing systems delivery completed by Mar 2, 2026
Buyback authorization $3.0 million Stock repurchase program effective through Dec 17, 2026

Market Reality Check

Price: $4.46 Vol: Volume 239,242 vs 223,948...
normal vol
$4.46 Last Close
Volume Volume 239,242 vs 223,948 20-day average (relative volume 1.07x) shows only modest pickup ahead of this AI/Army update. normal
Technical Shares at $4.10 are trading below the $5.05 200-day MA, keeping the stock in a longer-term lagging trend despite positive AI adoption headlines.

Peers on Argus

SPAI slipped 0.73% while key peers were mixed: VWAV (-5.62%), ISSC (-4.75%), SPC...
1 Up 1 Down

SPAI slipped 0.73% while key peers were mixed: VWAV (-5.62%), ISSC (-4.75%), SPCE (-5.86%), POWW (-0.96%), and drone peer DPRO up 4.71%, pointing to stock-specific dynamics rather than a unified sector move.

Previous AI Reports

5 past events · Latest: Apr 13 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Apr 13 NODE-X rollout Positive +11.6% Commercial rollout of NODE-X AI edge processor and added Army exercises.
Apr 1 Govt support order Positive +5.0% Contract modification for continued AI edge processing support to U.S. Government.
Mar 2 AI delivery milestone Positive +7.8% Completed delivery of AI edge systems under $1,000,000 subcontract in 15 days.
Feb 25 AI demo event Positive +12.7% Announced integrated AI demos at U.S. Army Autonomous Breach event at Fort Hood.
Feb 24 GeoSuite integration Positive +5.0% Planned demo of NODE AI threat detection integrated into GDMS GeoSuite at TiC 2.0.
Pattern Detected

Recent AI-tagged news has consistently drawn positive price reactions, with all five prior AI releases posting gains and an average move of about 8.45%.

Recent Company History

Over recent months, SPAI has repeatedly highlighted its AI edge-processing capabilities for defense customers. AI-tagged events include commercial rollout of NODE-X (Apr 13), a U.S. Government support order (Apr 1), rapid delivery of AI systems under a $1,000,000 subcontract (Mar 2), and multiple U.S. Army demonstrations in February. These updates show a steady drumbeat of AI deployments and military validation that today’s live-fire minefield exercise further reinforces.

Historical Comparison

+8.4% avg move · In the last five AI-tagged announcements, SPAI saw average moves of about 8.45%, all positive, sugge...
AI
+8.4%
Average Historical Move AI

In the last five AI-tagged announcements, SPAI saw average moves of about 8.45%, all positive, suggesting investors often reward incremental AI deployment milestones.

AI-tagged news shows a progression from planned demonstrations to rapid delivery of AI edge systems and commercial rollout of NODE-X, with repeated U.S. Army events reinforcing operational validation of SPAI’s AI threat-detection stack.

Regulatory & Risk Context

Active S-3 Shelf · $14.0 million
Shelf Active
Active S-3 Shelf Registration 2025-11-07
$14.0 million registered capacity

An effective S-3 resale registration filed on Nov 7, 2025 covers up to 2,000,000 PIPE-issued shares at $7.00. The company itself is not selling shares and will not receive proceeds from these resales, but the overhang from selling stockholders could influence trading as liquidity is used.

Market Pulse Summary

The stock moved +6.1% in the session following this news. A strong positive reaction aligns with pri...
Analysis

The stock moved +6.1% in the session following this news. A strong positive reaction aligns with prior AI-tagged events, where SPAI’s announcements around NODE and SPOTD drew average moves near 8.45%. The successful live-fire minefield exercise extends this pattern of operational validation with the U.S. Army. Investors would still need to weigh overhang from registered PIPE shares and the company’s history of substantial net losses when assessing how durable any strength might be.

Key Terms

edge compute, gpu, machine learning, uxo, +4 more
8 terms
edge compute technical
"miniaturized AI-powered edge compute processor of drone footage for threat detection"
Edge compute means processing data on devices or local servers close to where the data is created instead of sending it to a distant central data center. For investors, it matters because it can reduce delays, lower ongoing network costs, and enable new products or services (like real-time sensors or video analytics) that can boost revenue or cut expenses; think of it as putting a small, fast workshop next to a factory rather than shipping parts back and forth to a distant warehouse.
gpu technical
"edge compute machine and 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.
machine learning technical
"utilizes AI and machine learning (ML) algorithms trained on one of the world’s"
Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.
uxo technical
"unexploded ordnance (UXO) and ambush drones. Operating on the edge without"
Unexploded ordnance (UXO) are explosive weapons—bombs, shells, grenades or mines—that did not detonate when deployed and remain dangerous in the ground. For investors, UXO represents a physical and financial risk: finding and removing it can halt development, add cleanup costs, create regulatory delays, and expose owners to liability, similar to discovering hidden structural damage on a property that requires specialized, costly repairs.
orthomosaics technical
"generation of 3D models, orthomosaics, and digital surface models including"
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 including 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.
short-range reconnaissance technical
"application compatible with U.S. Army-approved Short-Range Reconnaissance (SRR) drones."
Short-range reconnaissance is the close-in gathering of information using tools like small drones, sensors, or patrols to observe conditions, movements, or infrastructure within a limited area. For investors, it signals demand for short-range surveillance hardware, software and services—similar to a neighborhood watch for critical sites—so developments in this area can affect sales, contract opportunities and risk profiles for companies that make or use that equipment.
geospatial models technical
"video into high-resolution 2D/3D geospatial models that can be rapidly shared"
Geospatial models are computer tools that combine location-based data (like maps, satellite images, and GPS points) with statistics to reveal patterns and predict how things change across space. For investors they act like a location-aware weather forecast: they help assess where assets, customers or risks are concentrated, improve site selection, track supply chains and natural hazards, and support better decisions about where to deploy capital or manage exposure.

AI-generated analysis. Not financial advice.

Team Successfully Delivered Rapid AI Detections on the Edge to the Army in Minutes Providing Critical Detailed Mine Detections for Decision Makers Supporting Real-Time Mission Planning

AVENTURA, Fla., April 15, 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, today announced that it has successfully completed a U.S. Army live fire exercise where Safe Pro’s patented AI technology was utilized 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 miniaturized AI-powered edge compute processor of drone footage for threat detection in military maneuver support missions.

“We are honored 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 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 utilizes 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 provides 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 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 in 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.

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. It 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 explosives threats, providing a much 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 is targeting multiple markets that include 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,'' ''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 did Safe Pro (SPAI) demonstrate during the April 15, 2026 U.S. Army exercise?

Safe Pro demonstrated rapid, on-edge AI detection of live scattered mines in minutes for commanders. According to the company, NODE-X processed drone imagery on the edge to generate detections, 3D models, and route guidance to support mission planning.

How is Safe Pro's NODE-X configured for military use and when will it be exercised next?

NODE-X is a backpack AI edge compute kit designed for real-time inference and ruggedized laptops. According to the company, NODE-X is scheduled to participate in additional U.S. Army exercises through Q2 2026 as part of its rollout.

What training data supports Safe Pro's SPOTD detection accuracy for SPAI products?

SPOTD was trained on one of the largest real-world drone imagery datasets with 2.6 million images and 47,000 confirmed detections. According to the company, that dataset includes landmines, cluster munitions, UXO, and ambush drones.

Can Safe Pro's system operate without connectivity during missions for SPAI customers?

Yes. NODE-X and SPOTD can operate on the edge without needing network connectivity during missions. According to the company, this enables real-time threat detection, 3D mapping, and automated route planning in disconnected environments.

What types of threats can Safe Pro's SPOTD identify for military and humanitarian use?

SPOTD can identify more than 150 types of landmines and unexploded ordnance and other small threats. According to the company, the platform converts imagery into high-resolution 2D/3D geospatial models to aid decision-making.

How does Safe Pro (SPAI) share detection results with commanders during operations?

Detection results are converted into geospatial 2D/3D models, orthomosaics, and route plans for rapid sharing with commanders. According to the company, NODE-X outputs integrated intelligence to support operational decision-making in the field.