Rail Vision Launches YardFlow™, its Leading AI Perception Solution for Industrial and Freight Railyard Operations

Rail Vision introduces YardFlow to extend its AI perception technology across more railyard applications and support its collaboration with Railserve.

Rhea-AI Summary

Rail Vision (RVSN) launched YardFlow™, an AI-integrated perception solution for industrial and freight railyard operations, designed to meet varied operational requirements across diverse yard environments.

YardFlow uses high-sensitivity electro-optical vision sensors and proprietary deep-learning algorithms to detect on-track or near-track hazards at distances of up to 200 meters (650 ft) and provide real-time alerts to support continuous switching operations. The compact, modular system can be installed on switching locomotives and railcar movers and includes built-in video recording and analytics for operational insights. YardFlow Flex™ (formerly ShuntingYard) remains available as a multi-spectral option for harsh weather and low-visibility use cases, and the company believes YardFlow will support its expanding commercial collaboration with Railserve.

News Explained

The release confirms YardFlow’s launch while describing broader Railserve deployments as opportunities under a May 2026 non-binding MOU that the companies continue to explore.

Market Context

On Aug 26, H1 2026 revenue was $1.015 million, driven mainly by ShuntingYard systems delivered to Ra...

Analysis

On Aug 26, H1 2026 revenue was $1.015 million, driven mainly by ShuntingYard systems delivered to Railserve; that commercialization record directly contextualized YardFlow’s stated Railserve collaboration.

Key Figures

Hazard detection range: Up to 200 meters (650 ft)

Hazard detection range

Up to 200 meters (650 ft)

YardFlow product capabilities

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Key Terms

electro-optical vision sensors, deep-learning algorithms, multi-spectral, mou

4 terms

electro-optical vision sensors technical

"Powered by high-sensitivity electro-optical vision sensors"

Electro-optical vision sensors are devices that capture light or other optical signals and convert them into electrical data that a machine can process, combining optics (lenses, filters) with electronic detectors. They power functions like imaging, motion or distance sensing, and low-light or infrared detection—think of them as a camera plus built-in signal electronics—so investors track them because they determine product capabilities, enable new applications, and influence demand and margins in hardware-driven markets.

deep-learning algorithms technical

"proprietary deep-learning algorithms"

Deep-learning algorithms are computer programs that learn to recognize complex patterns by studying vast amounts of data, much like a child improves at identifying animals after seeing many pictures. For investors, they matter because these algorithms can power better forecasting, automate decision-making, reduce costs, enable new products or services, and introduce operational or regulatory risks that can affect a company’s competitive edge and financial performance.

multi-spectral technical

"specialized multi-spectral option for special railyard applications"

Multi-spectral describes tools or sensors that collect information across several different bands of light or electromagnetic wavelengths, not just the colors we see with our eyes. For investors, multi-spectral capability signals richer, more precise data—like a camera that sees temperature and material qualities as well as color—which can create competitive advantages, expand product uses, improve decision-making, and affect regulatory scrutiny or market demand for technologies and services that rely on advanced sensing.

mou financial

"signed a non-binding MOU to explore additional deployments"

A memorandum of understanding (MOU) is a written agreement that outlines the basic terms and shared intentions between parties before a formal contract is drawn up. Think of it as a detailed handshake that signals commitment to work together; for investors it matters because an MOU can indicate a likely future deal, partnership or transaction that could affect a company’s strategy, revenues or risks, even though it often lacks full legal force.

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

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YardFlow brings Rail Vision’s perception technology to a broad range of rail operations and will support the Company’s expanding commercial collaboration with Railserve, a Marmon Rail company.

Ra’anana, Israel, Sept. 17, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN, FSE:C80) (“Rail Vision” or the “Company”), an early commercialization stage technology company transforming railway safety through advanced AI-integrated sensing systems, today announced the launch of YardFlow^™, its leading solution for industrial and freight railyards, designed to address a broad range of operational requirements across diverse yard environments.

The existing YardFlow Flex^™ (formerly ShuntingYard) remains available as a specialized multi-spectral option for special railyard applications and use cases in the industry, requiring enhanced performance in harsh weather and low-visibility conditions, providing customers with a choice tailored to their specific operational needs.

The Company believes that YardFlow will also support Rail Vision’s expanding commercial collaboration with Railserve, a Marmon Rail company. As previously announced, in 2024, Rail Vision and Railserve entered into a commercialization agreement for the deployment of the Company’s AI-based railyard systems and, in May 2026, signed a non-binding MOU to explore additional deployments, railcar mover applications, broader railyard solutions and other commercial opportunities. YardFlow is designed, among other applications, to address these types of applications as Rail Vision and Railserve continue to explore opportunities to expand their collaboration.

“YardFlow was developed based on years of extensive experience and valuable customer feedback, mainly based on our ongoing collaboration with Railserve. We believe that these insights are helping us to set a new standard for the market,” said David BenDavid, Chief Executive Officer of Rail Vision. “We have optimized our platform to provide a high-performance and cost-effective solution tailored to the evolving needs of dynamic yard environments, enabling us to bring our technology to a much broader customer base.”

Powered by high-sensitivity electro-optical vision sensors and proprietary deep-learning algorithms, YardFlow detects on-track or near-track hazards at distances of up to 200 meters (650 ft) and provides real-time alerts to help operators prevent incidents and maintain continuous switching operations. Its compact, modular structure enables simple installation across switching locomotives and railcar movers in freight and industrial rail operations, while built-in video recording and analytics provide actionable operational insights.

For more information about YardFlow, visit railvision.io/yardflow/

About Rail Vision Ltd.

Rail Vision (Nasdaq: RVSN, FSE: C80) is an early commercialization stage technology company transforming railway safety through advanced AI-integrated sensing systems. The Company develops and commercializes proprietary, electro-optic platforms that provide extended-range situational awareness and real-time hazard detection. Using machine learning algorithms to identify and classify obstacles, Rail Vision’s technology enhances safety, improves operational efficiency, and supports continuity across deployments.

The Company’s cloud-based platform complements its products by transforming railway operational data into actionable insights that help optimize performance, reduce downtime, and improve safety. As the Company expands its global footprint, it delivers AI-driven perception that supports safer operations, reduces operational risk, and enables the transition to fully autonomous operations.

Rail Vision holds a 51% stake in Quantum Transportation, which has an exclusive sub-license for rail technologies under an innovative pending patent in quantum error correction owned by Ramot, the technology transfer company of Tel Aviv University.

For more information, please visit https://www.railvision.io/

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act and other securities laws. Words such as “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates” and similar expressions or variations of such words are intended to identify forward-looking statements. For example, the Company is using forward-looking statements when it discusses the expected commercialization, deployment, capabilities, performance and benefits of YardFlow; the potential expansion of the Company’s collaboration with Railserve and related commercial opportunities; the ability of YardFlow to serve a broad range of railyard applications; and the Company’s future business plans, objectives and growth opportunities. Such expectations, beliefs and projections are expressed in good faith. However, there can be no assurance that 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 the Company, reference is made to the Company’s reports filed from time to time with the Securities and Exchange Commission (“SEC”), including, but not limited to, the risks detailed in the Company’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. The Company 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 the Company does update one or more forward-looking statements, no inference should be drawn that the Company 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 press release. Rail Vision is not responsible for the contents of third-party websites.

Investor Relations:
Michal Efraty
investors@railvision.io