• Safe Pro Group, a developer of security and defense solutions, has appointed decorated SOCOM Joint Acquisition Task Force Commander Jarret Mathews as Chief Operating Officer.
• Mathews brings more than 25 years of experience to the table, with expertise in operational leadership, defense acquisition, and advanced technology integration.
• Safe Pro Group was also awarded a support contract for their AI Edge Processing solution contract awarded earlier by the U.S. Government.

Safe Pro Group (NASDAQ: SPAI), a developer of AI-enabled defense, security, and situational awareness solutions, recently announced the appointment of Colonel (Ret.) Jarret Mathews as Chief Operating Officer (“COO”) (https://ibn.fm/7QDQk). 

Before he retired from the U.S. Army, Colonel Mathews served as Director of the Joint Acquisitions Task Force within the U.S. Army Special Operations Command (“SOCOM”). In this role, he led the development and integration of AI and machine learning technologies and drove acquisition reform initiatives to speed up SOCOM’s innovation pipeline.

In total, he brings over 25 years of defense acquisition expertise, operational leadership, and advanced technology integration experience to Safe Pro, as it aims to accelerate the government contract capture strategy for its AI and computer vision solutions, drone-based services, and ballistic protection products.

The appointment is a part of Safe Pro’s strategy to deepen relationships within the defense sector and secure contracts and revenue.

Speaking about the appointment, Safe Pro Group Chairman and CEO, Dan Erdberg, said that “Over the past six months as a special advisor, Jarret has demonstrated exceptional leadership, enhanced our operational execution capabilities, and brought unique insights into the evolving procurement needs of the U.S. military. His appointment as COO reflects our confidence in both his expertise and in the significant contract opportunities we see ahead.”

In addition to this appointment, Safe Pro also received a new contract modification to provide support for the AI Edge Processing solution they recently delivered to the U.S. Government (https://ibn.fm/4yssV).

About Safe Pro Group Inc. (NASDAQ: SPAI)

Safe Pro Group is a mission-driven tech company that delivers advanced AI-powered security and defense solutions to customers in the homeland security, defense, humanitarian, and law enforcement industries. At the heart of Safe Pro’s mission is patented computer vision software technology, which helps rapidly detect small objects in drone-based photos and videos to make field operations safer and more efficient.

For more information, visit Safe Pro Group’s website at www.SafeProGroup.com.

NOTE TO INVESTORS: The latest news and updates relating to SPAI are available in the company’s newsroom at https://ibn.fm/SPAI

Disseminated on behalf of LaFleur Minerals Inc. (CSE: LFLR) (OTCQB: LFLRF)and may include paid advertising.

• Junior Canadian near-term gold producer LaFleur Minerals is positioned to restart operations at its Beacon Gold Mill in Canada’s prolific Abitibi Greenstone Belt
• LaFleur will use a bulk sample remaining from the previous company’s operations at its nearby Swanson Gold Project to produce its first gold pour, with the aim to increase the daily processing capacity of the mill over the next year
• Gold’s spot price has roughly doubled since January of last year and, although the price has fluctuated in response to geopolitical pressures during the past month, the price has remained near record levels
• LaFleur’s strategy is based on the low CapEx and low complexity of its mine-to-mill project, using a low base case scenario in its recent positive PEA that outlines robust economics, thanks to opportune key asset acquisitions, funding efforts, and the project’s strategic location in an established mining region

Near-term gold producer LaFleur Minerals (CSE: LFLR) (OTCQB: LFLRF) is positioned to begin gold production during the current quarter at its key asset, Beacon Gold Mill, in the prolific Abitibi Belt of Québec, anticipating a quick entry into the market that takes advantage of pricing pressures keeping the precious metal in record territory. 

Gold has enjoyed a massive surge in spot value since the beginning of the current U.S. administration, almost doubling since January 2025 despite global political variables. Recent market fluctuations have brought gold back from its record peak last month, but it continues to hover near that high level and experienced a bit of a rebound in early April as the United States and Israel agreed to a temporary ceasefire in their war with Iran, the most recent of the geopolitical concerns (https://ibn.fm/MukA6). 

LaFleur CEO and Director Paul Ténière told investors during a March 24 webinar that the company’s profitability forecast is built on a base case price closer to where gold traded in January 2025, meaning that even with recent fluctuations the precious metal’s price remains far above the level LaFleur has developed as the foundation for its positive income strategy. 

“With this being such a low-cost operation, we don’t anticipate any issues there at all,” Ténière said during the web presentation. “We’re looking at an all-in sustaining cost of just under $1,600 an ounce. Which, again, is very impressive. And, again, this is at a base case of $2,750. Our technical report will be looking at a sensitivity of up-to-$5,000 gold. … We can certainly be running (our Swanson gold project) for the next few years and be a very cost-effective and profitable operation.”

LaFleur’s Swanson Gold Project covers 192 square kilometers near Val d’Or, Quebec, an established jurisdiction and mining camp for labor and resources that sustain the varied exploration efforts throughout the Abitibi region in eastern Canada. The company is working with railroad officials to establish a spur from the rail line running across the property directly to its Beacon Gold Mill, which would simplify transport and enhance economics. 

“We can actually, if we needed to, bring in material from anywhere within Quebec, and even Ontario, all the way to Red Lake if we needed to,” Ténière said. “So we’ve had many inquiries about toll milling, custom milling. Our main focus is to actually, because Swanson is in the short-term going to be in production, is to of course focus on that. But with the upgrades we’ve been discussing we could look at multiple options.”

The plans to restart gold production at Beacon Gold Mill hinge on completing the recommissioning and rehabilitation process under way since LaFleur obtained the mill two years ago in the former owner’s bankruptcy sale, with previously announced mill recommissioning work approximately halfway there and progressing every day.

“We were very lucky to get this mill at a very low cost,” Ténière said. “This was at a time when gold prices were obviously much lower. But this was a mill that was in excellent condition. When we acquired it it was as if the crew had left the day before. … We’re now over 50% of the way (toward restarting production) and staying within the original budget of almost $4 million for that.”

Beacon Gold Mill will initially be able to process material at 750 metric tons per day (“TPD”), using approximately 100,000 metric tons from a bulk sample to establish the company’s first gold pour. Following a staged approach to increasing production, the company will spend the first year building up to 1,000 TPD and then to 1,250 TPD. Its two-year target is 3,000 to 4,000 TPD, Ténière said. 

For more information, visit the company’s website at LaFleurMinerals.com.

NOTE TO INVESTORS: The latest news and updates relating to LFLRF are available in the company’s newsroom at https://ibn.fm/LFLRF

Qualified Person Statement:

All scientific and technical information contained in this article has been reviewed and approved by Louis Martin, P.Geo. (OGQ), Exploration Manager and Technical Advisor of the company and considered a Qualified Person for the purposes of NI 43-101.

Disseminated on behalf of MindBio Therapeutics Corp. (CSE: MBIO) (OTCQB: MBQIF)and may include paid advertising.

• Workplace substance misuse costs U.S. employers over $81 billion annually through lost productivity, accidents, healthcare costs, and liability, with studies indicating that up to 40% of industrial workplace fatalities involve alcohol misuse.
• MindBio is introducing the world’s first AI-powered voice analytics system to detect drug and alcohol impairment in real time, initially targeting the South American mining sector, where heavy machinery and remote operations make safety monitoring critical.
• Such advanced screening technology has relevance to a global market spanning a range of safety-sensitive industries, including mining, construction, and aviation.

Industrial employers across the world face a persistent challenge: ensuring workers operating heavy machinery or performing safety-critical tasks are not impaired by drugs or alcohol. MindBio Therapeutics (CSE: MBIO) (OTCQB: MBQIF) is addressing that problem with a technology more commonly associated with consumer devices than workplace safety: artificial intelligence-driven speech analysis.

The biotechnology company, which has spent several years conducting research into intoxication detection, has developed a voice-based AI system designed to identify signs of alcohol or drug impairment within seconds, the first of its kind in the world. Instead of relying on traditional biological testing methods such as breathalyzers or laboratory samples, MindBio’s technology analyzes acoustic patterns in speech to estimate intoxication levels.

The platform is being developed for enterprise use, with the company currently preparing a hardware kiosk system that can screen workers as they enter industrial facilities. The kiosk will prompt workers to speak briefly, allowing the AI model to evaluate voice characteristics associated with intoxication.

The company’s technology analyzes more than 140 speech parameters and processes them through machine-learning models trained on more than 50 million data points. According to MindBio, early testing has shown prediction accuracy above 85% for blood alcohol concentration estimation and roughly 88% accuracy for intoxication classification.

The potential market for such systems reflects the scale of workplace substance misuse. Research published by organizations including the U.S. Department of Labor estimates that substance abuse costs American employers more than $81 billion each year, driven by lost productivity, workplace accidents, healthcare expenses and legal liabilities. (https://ibn.fm/3bv3C).

Approximately 9% of full-time workers in the United States meet the criteria for a substance use disorder each year, according to those estimates. Workers struggling with substance misuse often operate at significantly reduced efficiency. Studies cited by addiction research groups suggest impaired employees may function at around 70% of their normal capacity, creating operational delays and higher error rates.

The financial impact goes beyond productivity losses. It is estimated that each employee with a substance abuse problem can cost an employer between $8,000 and $12,000 annually in combined productivity losses, healthcare spending and accident-related expenses.

For industries dependent on safety and reliability, the risks are particularly acute. Workers who misuse drugs or alcohol are estimated to be 3.6 times more likely to be involved in workplace accidents. Alcohol alone is believed to contribute to roughly 40% of industrial workplace fatalities, underscoring the legal and financial exposure companies face when impairment goes undetected.

MindBio’s early commercial focus reflects those risks. The company is concentrating first on mining operations in South America, a sector characterized by large workforces operating heavy machinery in remote environments. In Chile, for example, data referenced by the company indicates alcohol consumption among mining workers exceeds 75%, with roughly 40% classified as problem drinkers. Such statistics illustrate why impairment screening has become a priority for mining companies operating large industrial sites.

Traditional testing systems typically rely on breathalyzers, urine testing or laboratory blood analysis. These approaches can require specialized staff, laboratory processing or waiting periods that slow down shift changes and facility entry. MindBio’s proposed kiosk system streamlines the process. Workers would simply speak into a terminal at the worksite entrance. The Edge AI device processes the voice sample locally and delivers a rapid screening result, potentially allowing companies to identify impaired workers without delaying operations. Field testing of the kiosk platform is expected to begin in the second quarter of 2026. 

The company’s approach relies on acoustic biomarkers: subtle features in speech patterns that change as alcohol or drugs affect cognitive and motor function. Machine learning models analyze these speech features, including rhythm, frequency variations and articulation changes. Because voice samples can be captured quickly through standard microphones, the system can theoretically scale across both enterprise and consumer applications. Alongside the enterprise platform, MindBio also offers a consumer application called Booze AI, which allows individuals to estimate blood alcohol concentration using a smartphone or web interface.

While mining represents an initial market, the broader opportunity may lie in other  safety-critical sectors. Construction, aviation, transportation and energy industries all face similar challenges related to impairment detection. In these environments, employers often face strict regulatory requirements regarding alcohol and drug policies.

Workplace research indicates heavy drinking rates reach 17.5% among mining workers and 16.5% among construction employees, significantly higher than many other industries. These sectors also carry high accident costs. Construction workers, for example, experience some of the highest rates of job-related injury and overdose deaths among all professions. MindBio’s technology could potentially fit within a much larger global market centered on occupational safety and regulatory compliance.

For more information, visit the company’s website at www.MindBioTherapeutics.com. 

NOTE TO INVESTORS: The latest news and updates relating to MBQIF are available in the company’s newsroom at https://ibn.fm/MBQIF 

• The global train collision avoidance system market is expected to reach $13.32 billion by 2030, growing at a compound annual growth rate (“CAGR”) of an estimated 15%.
• Rail Vision’s offerings have been described as AI-powered perception systems that allow rail operators to predict and prevent collisions.
• The company’s two flagship products serve different operational environments but share the same underlying technological architecture.

The global train collision avoidance market is undergoing a dramatic transformation, driven by the convergence of advanced camera systems and artificial intelligence. Rail Vision Ltd. (NASDAQ: RVSN, FSE: C80) is positioning itself squarely at the center of that shift, developing proprietary AI-integrated sensing platforms designed to detect hazards in real time and ultimately enable fully autonomous train operations.

According to market analysis, the global train collision avoidance system market is expected to reach $13.32 billion by 2030, growing at a compound annual growth rate (“CAGR”) of an estimated 15%. That growth is being propelled by several converging forces, including increasing rail traffic density, rising safety regulations for rail operations, expansion of metro and high-speed rail networks, adoption of digital signaling systems and investments in rail safety infrastructure. The scale and pace of the expansion reflect how urgently the rail industry is embracing technology as a core pillar of its safety strategy.

Findings underscore how camera-based and sensor-based technologies are reshaping the competitive landscape. Major trends identified for the forecast period include the growing use of sensor-based collision detection, the rising adoption of communication-based train control technologies and the expansion of real-time rail monitoring solutions, all underpinned by an enhanced focus on rail network safety.  

These trends point to a market that is no longer satisfied with rule-based legacy systems. Operators and regulators are demanding platforms capable of detecting and responding to unexpected, unplanned events in real time. Technological advancements in sensor technology, machine learning and data processing are enhancing the precision and reliability of these systems, signaling a shift toward more automated and intelligent solutions that can adapt to various operational scenarios.

Israel-based Rail Vision has built its technology around the idea that the most dangerous moments for a train are the ones no one planned for. The company’s offerings have been described as AI-powered perception systems that allow rail operators to predict and prevent collisions, operating directly onboard locomotives rather than relying on wayside infrastructure or static signaling systems. This onboard approach is central to the company’s philosophy: that safety must travel with the train itself.

“Right now, the rail industry is using technologies like wayside sensors, GPS-based train control and largely rule-based monitoring systems,” observes Rail Vision vice president of business development and marketing Doron Cohadier. “In practice, these tools mostly help railways execute the plan: enforcing procedures, validating expected conditions, and monitoring known, structured scenarios, but they are less effective at identifying truly unexpected, unplanned events in real time, which is exactly where Rail Vision focuses. 

“Looking ahead, the near-term trend is more automation and tighter integration: more sensors, more connected data, more AI-assisted decision support and faster intervention workflows,” Cohadier continued. “The gap that remains — and the opportunity we aim to address — is reliable detection of the unexpected, early enough to enable quicker decisions and intervention.”

The company’s two flagship products, the MainLine system and the ShuntingYard system, serve different operational environments but share the same underlying technological architecture. The MainLine system provides an extended visual range of up to 2 kilometers (1.2 miles), even in challenging weather and low-light conditions, improving the safety of train operations, preventing collisions and reducing downtime.

Rail Vision’s ShuntingYard system, which combines advanced vision sensors with AI and deep learning, automatically detects and classifies objects within a range of 200 meters in harsh weather or lighting conditions. Together, these systems address the full spectrum of rail operations, from high-speed mainline corridors to complex switching yards where freight movements are frequent and the margin for error is slim.

Rail Vision’s technology incorporates advanced deep learning algorithms to precisely determine the railway path and detect potential obstacles along and near that path, using both single-spectrum and multispectral electro-optical imaging. This means the system does not simply issue generic alerts; rather, it actively classifies the nature and location of a hazard, providing operators with the actionable intelligence they need to respond in the critical seconds available to them. The technology supports decision-making for locomotive drivers during manned operations and can also enable automated decision-making for driverless trains, making it relevant not only to today’s safety challenges but to the autonomous rail future that the industry is increasingly working toward.

Rail Vision’s intellectual property position has also strengthened considerably. in December 2025, the European Patent Office granted the company a patent for its AI-based railway collision avoidance method and system. The patent covers single-spectrum or multispectral electro-optical imaging and deep-learning scene analysis using a two-stage convolutional neural network process. The proprietary architecture first identifies the rail path and then scans for obstacles, ensuring high-precision detection with minimal false alarms. This European grant builds on prior patent approvals in the United States, Japan and India, giving the company a global intellectual property foundation that spans its most important target markets.

Those markets are not merely theoretical. Rail Vision recently announced the successful completion of a two-month proof-of-concept demonstration of its AI-integrated MainLine system in India. The demonstration was conducted under real-world operating conditions with a major local rail operator in collaboration with Sujan Industries, with the customer providing positive feedback and indicating the system is suitable for further evaluation and potential controlled deployment across the Indian railway network.

In Latin America, the company has also secured commercial traction: Rail Vision signed a $335,000 follow-on contract with a major Latin American mining company to supply its MainLine obstacle detection system. This new agreement followed  extensive testing that confirmed the technology’s reliability under real operating conditions.

As the train collision avoidance market accelerates toward its projected multibillion-dollar future, companies such as Rail Vision that have built their platforms on AI-first, camera-integrated architectures are increasingly well positioned. The data-driven safety imperative is no longer a question of whether rail operators will adopt these technologies, it is a question of how quickly.

For more information, visit www.RailVision.io. 

NOTE TO INVESTORS: The latest news and updates relating to RVSN are available in the company’s newsroom at https://ibn.fm/RVSN

Paid Promotional Disclosure

This article constitutes a paid promotional communication. Rail Vision has engaged a third-party service provider to provide investor awareness and promotional services, including the dissemination of this article  and has paid a fee for such services. Rail Vision exercises editorial control over the content of this article but does not control how, when, or to whom the information is distributed by such third party.

This article is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any securities of Rail Vision. Investing in Rail Vision’s securities involves significant risks, and readers are encouraged to review Rail Vision’s filings with the U.S. Securities and Exchange Commission available at www.sec.gov before making any investment decision.

• Frontieras is developing breakthrough technologies that convert abundant solid hydrocarbons such as coal into cleaner fuels, hydrogen and industrial energy products.
• Central to this strategy is the company’s patented FASForm(TM) Solid Carbon Fractionation process.
• The company has not only developed its technology but is moving toward commercialization.

Frontieras North America is emerging as a noteworthy innovator and attractive potential investment opportunity by addressing one of the most critical challenges facing modern technology: the rapidly growing demand for reliable, affordable electricity. 

As artificial intelligence (“AI”) and data-intensive computing expand, global electricity demand is projected to soar, with some analysts estimating AI-related power needs could grow by as much as 8,000% by the 2030s. While the rest of the industry races to meet this surging demand, Frontieras has been building the answer for more than 15 years. The company’s breakthrough technologies convert abundant solid hydrocarbons such as coal into cleaner fuels, hydrogen and industrial energy products, opening new pathways for energy generation and industrial growth while dramatically reducing emissions and waste. 

Central to this strategy is the company’s patented FASForm(TM) Solid Carbon Fractionation process, which breaks coal and similar hydrocarbons into their molecular components. Rather than combusting coal directly, FASForm extracts volatile elements and transforms them into high-value liquids, hydrogen and a purified solid carbon product called FASCarbon(TM), all with zero waste and minimal emissions. This approach yields multiple revenue streams from a single feedstock: transportation fuels such as diesel and jet kerosene, industrial hydrogen for refining and manufacturing, fertilizer precursors and cleaner-burning carbon fuels that can replace untreated coal in power plants.

While coal is often dismissed as an outdated energy source, it remains one of the world’s most abundant fossil fuels. The most recent estimates of total world proved recoverable coal reserves were about 1,161 billion short tons (approximately 1.16 trillion short tons), confirming that global reserves exceed one trillion short tons, enough to sustain current production levels for more than a century. By unlocking the intrinsic energy and chemical potential of coal without burning it, Frontieras aims to extend the life of existing infrastructure and deliver reliable baseload energy that intermittent sources such as wind and solar are unable to match on their own.

Fifteen years of development means Frontieras isn’t racing to catch up; it’s ready to deliver as the company moves from innovation to implementation. Earlier this year, Frontieras completed feasibility engineering for its FASGEN(TM) platform, which allows existing coal-fired power plants to be upgraded and modernized. Rather than decommission these facilities, FASGEN intercepts coal before combustion, subjects it to the FASForm process and produces multiple energy streams that can be used on-site or sold in industrial markets. By converting legacy plants into multi-output energy hubs, Frontieras is positioning coal infrastructure to remain relevant in the AI era while reducing emissions and increasing efficiency.

On April 2, 2026, Frontieras broke ground on its flagship commercial facility in Mason County, West Virginia, a 183-acre advanced coal reformation plant representing an estimated investment of $850 million. This project is expected to create more than 2,000 construction jobs and 200-plus permanent positions once operational, contributing to economic revitalization in a region historically tied to coal mining and energy production. With plans to expand its operations throughout the Appalachian region and beyond, the company is seeking co-location opportunities near existing mines, infrastructure and industrial centers.

From an investment perspective, Frontieras differentiates itself because it could bridge traditional energy markets with cutting-edge industrial transformation. The company has secured a $150 million equity commitment from GEM Global Yield, a Share Subscription Facility that provides capital access as the company scales toward its public listing, and has qualified a Regulation A+ public offering with the U.S. Securities and Exchange Commission, enabling broader investor participation. At this stage, Frontieras remains private but has reserved the NASDAQ ticker “FASF” ahead of an expected public listing, indicating the company’s ambitions to scale and attract mainstream capital markets interest.

Investors and industry observers are watching as Frontieras moves from innovation to implementation. The company’s answer to the world’s most pressing energy challenge is the same one it has been building toward for 15 years: abundant, affordable and available energy for all. 

To find out more or participate in the Frontieras Regulation A+ offering, visit www.Invest.Frontieras.com.

NOTE TO INVESTORS: The latest news and updates relating to Frontieras are available in the company’s newsroom at https://ibn.fm/Frontieras

• LIXT is advancing its lead compound LB-100 across different clinical programs aimed at difficult-to-treat cancers
• The company’s acquisition of Liora Technologies introduces a complementary therapy platform with recurring revenue potential
• These updates underscore LIXTE’s broader strategy: integrating drug development and med-tech innovation to redefine cancer treatment

LIXTE Biotechnology (NASDAQ: LIXT) is executing a differentiated strategy in oncology, extending beyond traditional drug development into a more integrated and multi-dimensional approach to cancer care. With the company’s lead clinical candidate, LB-100, advancing through trials and the addition of Liora Technologies to its platform, they are positioning themselves at the nexus of pharmaceutical innovation and next-generation radiotherapy (ibn.fm/C7Kms).

At the core of LIXTE’s pipeline is LB-100, a one-of-a-kind PP2A inhibitor created to improve the overall effectiveness of existing cancer therapies. Instead of competing directly with established treatments, the company is focused on boosting outcomes by amplifying them. This strategic approach underscores a wider shift in oncology toward combination therapies, which improve efficacy without introducing new treatment burdens. 

Ongoing clinical trials such as collaborations with the University of Texas MD Anderson Cancer Center and Northwestern University’s Lurie Cancer Center continue to validate this unique strategy, with expanded enrollment showing improved confidence in the compound’s potential.

LIXTE’s recently filed annual report further highlights the company’s progress. As the company’s CEO, Geordan Pursglove puts it, “2025 was a transformative and highly productive year for our company,” pointing to advancements in clinical development, capital raises, and leadership restructuring. He added that these milestones have “positioned LIXTE with the leadership needed to execute our strategic priorities,” reinforcing the company’s readiness for its next phase of growth (ibn.fm/2EIRb).

A key factor in the next phase is the company’s expansion into radiotherapy through its wholly owned subsidiary, Liora Technologies Europe Ltd. The company was acquired back in November 2025 and brings the proprietary LiGHT system, an electronically powered proton therapy platform created to boost precision and accessibility in cancer treatment. Proton therapy is widely regarded for its ability to target tumors while cutting down damage to the surrounding tissue, but its wider adoption has been hindered by infrastructural and cost demands. Liora’s technology aims to tackle these barriers, possibly opening the door to broader clinical adoption.

Also, the integration of Liora introduces a new economic side to LIXTE’s model. Pursglove emphasized this strategic shift, pointing out the goal “to bring Liora’s LiGHT System technology to the forefront of modern cancer treatment and eventually enable LIXTE to pursue a recurring revenue model.” For investors, this indicates a move beyond binary clinical outcomes toward a more diversified and potentially predictable revenue structure.

The appointment of Sidney Braun as the company’s CEO brings over two decades of experience in building and growing healthcare platforms globally. Braun, who was key to the creation of Liora, is expected to speed up development in the radiotherapy section. As stated by him, “Leadership in breakthrough medical technology is about building viable life-changing systems,” adding that his focus will be on “fostering further development in the radiotherapy segment of cancer care to achieve positive patient outcomes and long-term value for LIXTE’s shareholders.”

From an investment point of view, LIXTE is transforming into a more comprehensive oncology platform. By blending a novel therapeutic pipeline with an emerging radiotherapy technology, the company is aligning with the future of cancer treatment, where integrated, precision-based approaches are quickly becoming the standard.

For more information, visit the company website at https://lixte.com.

NOTE TO INVESTORS: The latest news and updates relating to LIXT are available in the company’s newsroom at ibn.fm/LIXT

Disseminated on behalf of SPARC AI Inc. (CSE: SPAI) (OTCQB: SPAIF)and may include paid advertising.

• The war in Ukraine has demonstrated how electronic warfare can directly influence battlefield outcomes.
• The ability to interpret spatial data, maintain situational awareness and operate effectively in degraded signal environments is becoming increasingly important.
• SPARC AI has appointed a ground referral partner connected to Ukraine, a move intended to strengthen its engagement within the region and support potential deployment of its spatial intelligence capabilities.

Electronic warfare has become one of the defining elements of modern conflict in Ukraine, where signal disruption, drone countermeasures and navigation interference are reshaping how battles are fought and won. In this rapidly evolving environment, SPARC AI (CSE: SPAI) (OTCQB: SPAIF) is positioning itself within Ukraine’s defense ecosystem, with its latest announcement highlighting new ground-level engagement tied to the country and reflecting its focus on spatial intelligence and AI-driven situational awareness.

The war in Ukraine has demonstrated how electronic warfare can directly influence battlefield outcomes. According to a recent report, both Ukrainian and Russian forces are heavily deploying drones for reconnaissance and strike capabilities, while simultaneously attempting to jam or disrupt each other’s signals. The report notes that electronic warfare systems are being used to interfere with drone communications and navigation, making it increasingly difficult for unmanned systems to operate reliably. This dynamic has forced rapid innovation, with both sides adapting technologies to maintain operational effectiveness in contested environments.

Drones have become central to this transformation, but their reliance on satellite navigation and communication links also makes them vulnerable. The same PBS report highlights how Ukrainian developers are working to create more resilient drone systems capable of operating despite signal interference. This includes efforts to improve autonomy and onboard intelligence, reducing dependence on external signals that can be jammed or spoofed.

Additional developments underscore how far-reaching these challenges have become. A report from the Kyiv Independent described how a downed Ukrainian drone was identified in Finland, illustrating both the scale of drone deployment and the complexity of tracking and attribution in modern warfare. Incidents such as this highlight how electronic warfare and drone operations can extend beyond immediate conflict zones, raising broader questions about airspace monitoring, signal tracking and cross-border implications.

Within this context, the ability to interpret spatial data, maintain situational awareness and operate effectively in degraded signal environments is becoming increasingly important. This is where companies focused on artificial intelligence and spatial computing are beginning to play a role.

SPARC AI’s recent announcement reflects this emerging intersection between technology and defense. According to the company, SPARC AI has appointed a ground referral partner connected to Ukraine, a move intended to strengthen its engagement within the region and support potential deployment of its spatial intelligence capabilities. While the announcement does not detail specific contracts or deployments, it signals the company’s intent to establish a presence in a market where advanced sensing and navigation technologies are in high demand.

SPARC AI focuses on spatial intelligence solutions designed to interpret and act on data from real-world environments. Its technology aims to bridge the gap between physical space and digital systems, enabling more accurate positioning, mapping and decision-making. In environments where traditional navigation systems such as GPS may be unreliable due to electronic interference, these capabilities could become particularly valuable.

The challenges observed in Ukraine align closely with the types of problems SPARC AI is seeking to address. As electronic warfare disrupts conventional navigation and communication systems, there is a growing need for alternative approaches that can maintain operational continuity. Technologies that combine artificial intelligence with spatial awareness may offer a pathway to more resilient systems capable of functioning in contested environments.

The company’s move to engage with Ukraine through a ground referral partner can be viewed as a step toward understanding and potentially contributing to these evolving requirements. By establishing connections within the region, SPARC AI may gain insights into the specific challenges faced by operators on the ground, which could inform future development and deployment of its technologies.

More broadly, the situation in Ukraine is influencing how governments and defense organizations think about future conflicts. The integration of drones, electronic warfare and AI-driven systems is reshaping military strategies and accelerating the adoption of new technologies. Companies that can provide solutions to these challenges may find increasing opportunities as defense priorities continue to evolve.

For SPARC AI, the relevance of its technology lies in its potential to operate where traditional systems struggle. As the conflict in Ukraine highlights the vulnerabilities of existing navigation and communication infrastructure, interest in alternative solutions is likely to grow. The company’s latest announcement suggests that it is positioning itself to be part of this emerging landscape.

Electronic warfare is redefining modern combat, and the importance of resilient, adaptive technologies is becoming increasingly clear. The developments in Ukraine offer a real-world case study of these challenges, and companies such as SPARC AI are beginning to align their strategies with the needs of this new era of warfare.

For more information, visit the company’s website at https://sparcai.co.

NOTE TO INVESTORS: The latest news and updates relating to SPAIF are available in the company’s newsroom at https://ibn.fm/SPAIF

• The National Transportation Safety Board (“NTSB”) has intensified its focus on collision-prevention technologies following multiple rail incidents.
• Rail Vision’s proprietary sensor systems are designed to address key railway safety challenges by combining advanced imaging technologies with artificial intelligence and deep learning algorithms.
• The company’s technology is also designed to integrate with existing rail infrastructure, providing flexibility for operators seeking to upgrade safety capabilities without requiring extensive system overhauls.

Rail-safety regulators are increasingly calling for advanced collision-avoidance systems as rail networks grow more complex, and Rail Vision’s (NASDAQ: RVSN, FSE: C80) artificial-intelligence (“AI”)-powered electro-optical sensors are emerging as a direct technological response to those recommendations. Rail Vision develops vision-based detection systems designed to improve railway safety and operational performance, offering real-time obstacle detection and situational awareness that align closely with evolving safety priorities across the industry.

In recent years, the National Transportation Safety Board (“NTSB”) has intensified its focus on collision-prevention technologies following multiple rail incidents, including fatal accidents involving maintenance equipment. The agency specifically recommended the adoption of collision-avoidance systems capable of detecting people or objects before impact and providing real-time alerts to operators. 

Building on its longstanding advocacy for automated safety technologies, such as Positive Train Control, which is designed to prevent collisions caused by human error, the agency continues to call for broader implementation of advanced systems to address operational blind spots and improve overall rail safety. According to the NTSB, human factors remain a leading cause in transportation accidents, reinforcing the importance of automated safety systems that can supplement operator awareness.

The urgency behind these recommendations is supported by national safety data. Federal Railroad Administration (“FRA”) data shows that thousands of rail-related incidents occur annually in the United States, including collisions, derailments and other operational accidents. For example, FRA-backed statistics indicate that there are typically more than 1,000 train accidents each year, with derailments alone averaging roughly 1,300 annually in recent years, highlighting the scale of ongoing safety challenges across the rail system. These figures underscore the continued need for systems that can provide real-time hazard detection and reduce reliance on human observation alone.

Beyond incident frequency, the operational environment itself presents inherent risks. Rail yards and complex track networks often involve limited visibility, unpredictable movements and multiple points of potential conflict between trains, equipment and personnel. The NTSB has highlighted that collision-avoidance technologies should not only address mainline operations but also support safer maneuvering in these challenging environments, where traditional line-of-sight observation may be insufficient.

Rail Vision’s AI-powered electro-optical sensor systems are designed to address key railway safety challenges by integrating wide-field and narrow-field electro-optic cameras to provide a complete “safety envelope” around the train. The company’s solutions include the use of thermal cameras that detect thermal signatures of workers, proprietary deep learning algorithms that distinguish between track infrastructure and human beings or other obstacles in real-time, and visual and acoustic alerts that provide critical awareness to operators, enabling immediate response to potential collisions and track hazards. These innovative systems are engineered to operate effectively in a wide range of environmental conditions, including low visibility, darkness and harsh weather, helping to overcome the limitations of human sight and improve overall situational awareness.

The company’s MainLine system is engineered to detect obstacles at distances of up to approximately two kilometers ahead of a train, providing operators with early warning and additional time to respond to potential threats. By extending the range of visibility far beyond what is possible through human sight alone, the system addresses one of the core challenges identified by regulators: the need for earlier detection of hazards to prevent collisions before they occur.

Rail Vision’s ShuntingYard platform further expands this capability into rail yard environments, where the risk profile differs but remains equally critical. Designed for low-speed operations involving frequent switching and coupling, the system provides real-time obstacle detection and classification at shorter distances, helping operators navigate complex yard conditions more safely. The integration of AI-driven analysis enables the system to distinguish between different types of objects, reducing false alerts and improving decision-making accuracy.

The company’s technology is also designed to integrate with existing rail infrastructure, providing flexibility for operators seeking to upgrade safety capabilities without requiring extensive system overhauls. Real-time alerts can be delivered directly to locomotive operators supporting both manual and semi-automated operational models.

Rail Vision’s focus on electro-optical sensing places it at the intersection of hardware and software innovation. By combining high-resolution imaging with advanced analytics, the company aims to create a comprehensive situational awareness solution that addresses many of the safety gaps identified by regulators. The ability to detect obstacles, classify threats and provide actionable insights in real time represents a significant advancement over traditional safety approaches that rely primarily on human observation.

As the rail industry continues to modernize, the alignment between regulatory recommendations and technological innovation is becoming increasingly important. The NTSB’s emphasis on collision-avoidance systems reflects a broader recognition that advanced technologies are essential to improving safety outcomes in complex transportation environments. Rail Vision’s AI-powered electro-optical sensors offer a practical example of how these recommendations can be implemented through real-world solutions.

By providing earlier detection, enhanced visibility and intelligent analysis, Rail Vision’s systems directly address the core challenges highlighted by safety authorities. As adoption of such technologies expands, these powerful solutions have the potential to play a meaningful role in reducing accidents, improving operational efficiency and supporting the continued evolution of safer, more intelligent rail networks.

For more information, visit www.RailVision.io.

NOTE TO INVESTORS: The latest news and updates relating to RVSN are available in the company’s newsroom at https://ibn.fm/RVSN

Paid Promotional Disclosure

This article constitutes a paid promotional communication. Rail Vision has engaged a third-party service provider to provide investor awareness and promotional services, including the dissemination of this article, and has paid a fee for such services. Rail Vision exercises editorial control over the content of this article but does not control how, when, or to whom the information is distributed by such third party.

This article is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any securities of Rail Vision. Investing in Rail Vision’s securities involves significant risks, and readers are encouraged to review Rail Vision’s filings with the U.S. Securities and Exchange Commission available at www.sec.gov before making any investment decision.

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Forward-Looking Statements

This article contains “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act and other securities laws. Forward-looking statements contained in this article include, but are not limited to, statements regarding Rail Vision’s strategic and business plans, technology, relationships, objectives and expectations for its business, growth, the impact of trends on and interest in its business, intellectual property, products and its future results, operations and financial performance and condition and may be identified by the use of words such as “may,” “seek,” “will,” “consider,” “likely,” “assume,” “estimate,” “expect,” “anticipate,” “intend,” “believe,” “do not believe,” “aim,” “predict,” “plan,” “project,” “continue,” “potential,” “guidance,” “objective,” “outlook,” “trends,” “future,” “could,” “would,” “should,” “target,” “on track” or their negatives or variations, and similar terminology and words of similar import, generally involve future or forward-looking statements. Forward-looking statements in this article include how rail-safety regulators are increasingly calling for advanced collision-avoidance systems as rail networks grow more complex, the continued modernization of the rail industry and the expansion of technologies that provide earlier detection, enhanced visibility and intelligent analysis for the railway industry. Forward-looking statements are not historical facts, and are based upon Rail Vision’s management’s current expectations, beliefs and projections, many of which, by their nature, are inherently uncertain. Such expectations, beliefs and projections are expressed in good faith. However, there can be no assurance that Rail Vision’s management’s expectations, beliefs and projections will be achieved, and actual results may differ materially from what is expressed in or indicated by the forward-looking statements. Forward-looking statements are subject to risks and uncertainties that could cause actual performance or results to differ materially from those expressed in the forward-looking statements.  For a more detailed description of the risks and uncertainties affecting Rail Vision, reference is made to Rail Vision’s reports filed from time to time with the Securities and Exchange Commission (“SEC”), including, but not limited to, the risks detailed in the Rail Vision’s annual report on Form 20-F for the fiscal year ended December 31, 2025, filed with the SEC on March 31, 2026. Forward-looking statements speak only as of the date the statements are made. Rail Vision assumes no obligation to update forward-looking statements to reflect actual results, subsequent events or circumstances, changes in assumptions or changes in other factors affecting forward-looking information except to the extent required by applicable securities laws. If Rail Vision does update one or more forward-looking statements, no inference should be drawn that Rail Vision will make additional updates with respect thereto or with respect to other forward-looking statements. References and links to websites have been provided as a convenience, and the information contained on such websites is not incorporated by reference into this article. Rail Vision is not responsible for the contents of third-party websites.

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• LIXT is advancing its lead candidate LB-100, a first-in-class therapy designed to enhance the effectiveness of existing cancer treatments
• The company recently strengthened its position through a strategic partnership with Liora Technologies and the expansion of clinical trials
• These developments highlight Lixte’s broader mission: To improve cancer outcomes through innovation, combination-based therapeutic strategies

Lixte Biotechnology (NASDAQ: LIXT) is emerging as a differentiated player in the oncology ecosystem, advancing a precision-driven approach to cancer treatment which focuses on improving the effectiveness of existing. As a clinical-stage pharmaceutical company, the company is advancing novel compounds built around a unique biological target, with its lead candidate, LB-100, at the nucleus of its strategy. 

Recent updates underscore Lixte’s growing momentum as it has continued to advance LB-100, a first-in-class small molecule designed to improve the efficacy of chemotherapy, radiation, and immunotherapy while cutting down toxicity. This approach addresses one of the most pressing challenges in oncology: how to boost treatment effectiveness without causing harm to healthy tissue. By focusing on protein phosphate 2A (“PPSA”), LB-100 helps disrupt cancer cell repair mechanisms and improve therapeutic response.

The company recently made public a strategic partnership with Liora Technologies targeted at integrating advanced, multimodal oncology data into its development process. This partnership leverages premium data integration techniques to combine imaging, clinical records, and molecular data, supporting more precise patient selection and possibly more efficient clinical trials. This move highlights a wider industry shift toward data-driven oncology and strategically places Lixte at the nexus of advanced analytics and therapeutics.

Lixte is also making reasonable progress in its clinical pipeline, and the company has expanded trials evaluating LB-100 in combination with other therapies, including immunotherapy agents, especially in difficult-to-treat cancers such as ovarian clear cell carcinoma. These studies are being carried out in partnership with leading research institutions, further underscoring the scientific credibility of its approach and expanding the potential application of its technology across different tumor types. 

In terms of broadening its oncology ecosystem, Lixte made steps to expand and strengthen its long-term platform. The company’s acquisition of Liora Technologies’ proton therapy assets, including the LiGHT system, introduces a complementary modality that could help future treatment delivery and recurring revenue opportunities. Recently, the company’s appointment of leadership within its Liora subsidiary signals a focus on operational execution and expansion in this area.

Lixte operates at the nexus of targeted drug development and combination therapy innovation. The company’s strategy is built on improving existing standards of care instead of competing with them directly, a model that perfectly aligns with the growing importance of combination approaches in oncology. By optimizing how current therapies operate, the company aims to deliver useful clinical benefits without needing new treatment paradigms.

For more information, visit the company website at https://lixte.com.

NOTE TO INVESTORS: The latest news and updates relating to LIXT are available in the company’s newsroom at ibn.fm/LIXT

• American Fusion(TM) is negotiating a long-term supply framework for helium-3 and deuterium, the fuels used in its Texatron(TM) fusion system.
• Securing reliable fuel sources is a critical step in fusion commercialization, particularly given the scarcity of helium-3.
• The company operates through Kepler Fusion Technologies, its wholly owned subsidiary developing the Texatron(TM) reactor platform.
• A modular deployment strategy includes 5-MW and 100-MW reactor designs, aimed at scalable power generation.
• The discussions reflect broader efforts to build supply chains, engineering partnerships, and infrastructure needed for commercial fusion systems.

American Fusion(TM) (OTC: AMFN), an advanced energy platform company focused on the development and commercialization of fusion energy technologies, is moving to secure one of the less visible but critical components of its long-term energy strategy: the fuel supply required to power its proposed fusion reactors.

The company said it is in the final stages of negotiations with a U.S.-based subsidiary of a global industrial organization regarding a potential multi-year supply agreement for helium-3 and deuterium. Those two isotopes are the primary fuels planned for the company’s Texatron(TM) aneutronic fusion system (https://ibn.fm/0pvD1).

Helium-3 in particular has historically been difficult to obtain in large quantities. The isotope is rare on Earth and has traditionally been produced in limited volumes through nuclear weapons programs and specialized research facilities. As a result, securing a stable supply could play an important role in determining the pace at which fusion projects move from research to commercial deployment.

American Fusion’s(TM) strategy centers on building a commercial energy platform around fusion technology developed by its subsidiary, Kepler Fusion Technologies. Kepler is developing the Texatron(TM) system, an aneutronic fusion architecture designed to use deuterium and helium-3 as its fuel cycle. Aneutronic fusion systems aim to produce lower neutron output compared with conventional fusion approaches, which in theory can simplify reactor shielding requirements and improve energy conversion efficiency.

The company has not yet demonstrated net energy generation from fusion reactions, and the technology remains in a development stage similar to many fusion programs worldwide. However, management says that establishing infrastructure such as fuel supply chains early is part of preparing for eventual commercialization.

Richard Hawkins, chief executive of American Fusion(TM), said reliable access to critical inputs is necessary if the company intends to move beyond research and into operational systems. “Reliable, consistent, and affordable access to critical components and inputs is fundamental to building a real, scalable energy platform. This is not an easy supply chain to establish, particularly at the level required for commercial deployment,” Hawkins said. “These discussions represent a meaningful step forward as we continue to secure the pieces necessary to support long-term operations.”

Alongside fuel sourcing, American Fusion(TM) is evaluating partnerships across manufacturing, engineering and supply-chain services as it develops its first reactor systems.

The company’s development roadmap includes several Texatron(TM) designs. According to management, two systems are currently under construction: a 5-megawatt demonstration reactor and a larger 100-megawatt model intended to represent the foundation of the firm’s commercial architecture. The modular design concept is intended to allow capacity to scale in standardized increments. For example, ten 100-MW units could theoretically produce one gigawatt of electricity.

Brent Nelson, chief executive of Kepler Fusion Technologies, has indicated that the company hopes to deploy its first operational systems on an aggressive timeline. Rather than initially connecting reactors to public power grids, the company is considering a “behind-the-meter” strategy. Under this approach, reactors would supply electricity directly to industrial or commercial facilities at the point of use.

Industrial customers with high and predictable energy demand, such as manufacturing facilities, data centers or chemical plants, are often considered potential early adopters of behind-the-meter generation systems. The modular architecture proposed by American Fusion(TM) is designed to support that type of deployment.

For more information, visit the company’s website at www.AmericanFusionEnergy.com.

NOTE TO INVESTORS: The latest news and updates relating to AMFN are available in the company’s newsroom at https://ibn.fm/AMFN