Rail Vision launches YardFlow AI railyard system
Rail Vision launches its YardFlow AI railyard perception solution, aiming to broaden industrial and freight yard applications and deepen collaboration with Railserve.
Rhea-AI Filing Summary
Rail Vision Ltd. (RVSN) reported the launch of YardFlow™, an AI perception solution for industrial and freight railyards that extends the company’s existing product line and is designed to address a broad range of yard operational requirements. The launch is intended to support Rail Vision’s commercial collaboration with Railserve, a Marmon Rail company, under an existing commercialization agreement and a non-binding memorandum of understanding signed in May 2026 to explore additional deployments and applications. YardFlow uses high-sensitivity electro‑optical sensors and proprietary deep‑learning algorithms to detect on‑track or near‑track hazards at distances of up to 200 meters (650 ft), providing real‑time alerts and built‑in video analytics for operational insights. Rail Vision also notes that it holds a 51% stake in Quantum Transportation, which has an exclusive sub‑license for rail technologies under a pending quantum error correction patent from Ramot at Tel Aviv University.
Positive
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Filing Explained
As a Form 6-K, this filing furnishes interim information from Rail Vision and incorporates specified paragraphs of the YardFlow press release into the company’s existing Form F-3 and Form S-8 registration statements. The stated change is to the content of those registration documents, not a reported issuance of shares.
Key Figures
Key Terms
AI-integrated sensing systems technical
electro-optical vision sensors technical
deep-learning algorithms technical
situational awareness technical
quantum error correction technical
FAQ
AI-generated questions and answers. How Rhea-AI works. Not financial advice.
What did Rail Vision Ltd. (RVSN) announce in the September 2026 Form 6-K?
How does YardFlow™ enhance railyard operations for RVSN customers?
What is the relationship between Rail Vision (RVSN) and Railserve?
Is the previous YardFlow Flex™ (formerly ShuntingYard) product still available from RVSN?
What quantum technology exposure does Rail Vision (RVSN) disclose?
On what date did Rail Vision (RVSN) announce the YardFlow™ launch?
AI-generated analysis. How Rhea-AI works. Not financial advice.
UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
Washington, D.C. 20549
Form 6-K
Report of Foreign Private Issuer
Pursuant to Rule 13a-16 or 15d-16
under the Securities Exchange Act of 1934
For the month of September 2026
Commission file number: 001-41334
RAIL VISION LTD.
(Translation of registrant’s name into English)
15 Ha’Tidhar St
Ra’anana, 4366517 Israel
(Address of principal executive offices)
Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F.
| Form 20-F ☒ | Form 40-F ☐ |
CONTENTS
Attached hereto and incorporated herein is the Registrant’s press release issued on September 17, 2026, titled “Rail Vision Launches YardFlow™, its Leading AI Perception Solution for Industrial and Freight Railyard Operations.”
The first, second, third and fifth paragraphs in the press release attached as Exhibit 99.1 are incorporated by reference into the Registrant’s Registration Statements on Form F-3 (File Nos. 333-271068, 333-272933, 333-277963 and 333-278645) and Form S-8 (File Nos. 333-265968, 333-281329 and 333-286652), filed with the Securities and Exchange Commission, to be a part thereof from the date on which this report is submitted, to the extent not superseded by documents or reports subsequently filed or furnished.
EXHIBIT INDEX
| Exhibit No. | ||
| 99.1 | Press release issued by Rail Vision Ltd. on September 17, 2026, titled “Rail Vision Launches YardFlow™, its Leading AI Perception Solution for Industrial and Freight Railyard Operations” |
SIGNATURES
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.
| Rail Vision Ltd. | ||
| Date: September 17, 2026 | By: | /s/ Ofer Naveh |
| Name: | Ofer Naveh | |
| Title: | Chief Financial Officer | |
Exhibit 99.1
Rail Vision Launches YardFlow™, its Leading AI Perception Solution for Industrial and Freight Railyard Operations
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, September 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