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.
Rail Vision Ltd. (RVSN) reported that Chief Financial Officer Ofer Naveh sold 1,000 Ordinary Shares on September 10, 2026 at $4.00 per share in an open-market or private transaction. The sale was made under a Rule 10b5-1 trading plan adopted on June 11, 2026, and left him holding 31,795 Ordinary Shares directly. The filing also lists restricted share units that vest quarterly in five equal installments beginning September 30, 2026, included for informational purposes with no transaction effected for those awards.
Rail Vision Ltd. (RVSN) announced a rebranding of its two core railway perception products: the existing MainLine system will be marketed as TrackScout, and the ShuntingYard system will be marketed as YardFlow Flex, aligning the product names more closely with mainline and yard use cases.
TrackScout is described as a long-range AI perception system for freight and passenger mainline rail, using multi-spectral electro-optical sensors and deep learning to detect and classify hazards in real time at distances up to 2,000 meters, with features including anomaly and switch-state detection. YardFlow Flex targets freight and industrial yards, detecting on-track and near-track hazards up to 200 meters, including sideswipe detection past the foul line, and is designed for modular installation across diverse switching fleets.
Both systems are complemented by an operational intelligence platform that applies big data analytics, real-time tracking and continuous event recording to generate actionable safety and efficiency insights, and Rail Vision reiterates its positioning as an early commercialization stage AI-integrated sensing company, including holding a 51% stake in Quantum Transportation with rail-related quantum error correction technology rights.
Rail Vision Ltd. (RVSN) reports that it has been selected for MxV Rail’s locomotive sensor pre-integration testing program under the Association of American Railroads’ TCCO Technology Roadmap Program. This moves the company’s AI-powered perception technology from roadmap participation into real‑world evaluation by North American freight railroads.
The testing supports development of Restricted Speed Enforcement capabilities, a key element for increased rail automation, and is expected to expose Rail Vision’s systems to Class I railroads and evolving industry requirements. Rail Vision develops multi-spectral, AI-integrated sensing platforms and holds a 51% stake in Quantum Transportation, which has an exclusive sub-license for certain rail-related quantum error correction technologies.
Rail Vision Ltd. (RVSN) reported first-half 2026 results showing early commercial traction but ongoing losses. Revenue for the six months ended June 30, 2026 reached $1.02 million, up sharply from $237 thousand a year earlier, mainly from ShuntingYard system deliveries to Railserve and services to existing customers. Gross profit was $317 thousand, but higher research and development spending, including a $1.03 million write-off of acquired in‑process R&D from the 51% acquisition of Quantum Transportation, and increased general and administrative costs drove an operating loss of $8.03 million and a GAAP net loss of $7.31 million.
Non‑GAAP net loss was $6.75 million. Cash, cash equivalents and restricted cash totaled $15.6 million at June 30, 2026, after $6.21 million of operating cash outflow and $1.08 million raised via an at‑the‑market equity program. Management expects existing cash and projected sales to fund operations for more than 12 months but acknowledges the likelihood of additional capital raises and highlights regional security risks around Israel as an ongoing uncertainty.
Rail Vision Ltd. reports key operational milestones for its AI-based railway safety systems. The company successfully completed field testing of its ShuntingYard system with Israel Railways, where locomotive drivers and operations staff reported high satisfaction with improved situational awareness in active rail yards and challenging lighting conditions.
The tests showed the system can detect and classify potential obstacles in real time, supporting safer shunting operations. Following these results, Rail Vision and Israel Railways are discussing potential commercialization and deployment of ShuntingYard. Rail Vision also signed a non-binding memorandum of understanding with Railserve, a Marmon Rail Company, to integrate ShuntingYard into Railserve’s commercially launched YardGUARD and WatchGUARD industrial railyard safety solutions, positioning the technology within broader safety intelligence platforms.
Rail Vision Ltd. furnished a Form 6-K featuring a press release announcing that its AI-powered ShuntingYard perception system is now integrated into Railserve’s YardGUARD industrial railyard safety system for commercial deployment. The technology provides real-time situational awareness, obstacle detection, alerts and automatic braking support in railyard operations.
The integrated solution is being showcased at Railway Interchange 2026 in Omaha and at Marmon Rail’s booth as part of Railserve’s safety exhibit. Rail Vision views this deployment as an important step toward strengthening its presence in the North American railyard market and supporting safer, more efficient yard operations.
Rail Vision Ltd. director Revach Hila Kiron reported an open-market sale of 1,444 Ordinary Shares at $4.75 per share on June 1, 2026. After this sale, the director directly holds 2,056 Ordinary Shares.
The filing also notes 834 restricted share units vesting in six equal quarterly installments beginning on June 30, 2026, and 1,222 restricted share units vesting in eight equal quarterly installments beginning on the same date, each subject to continued service.
Rail Vision Ltd. signed a non-binding memorandum of understanding with Railserve Inc., a leading North American industrial railyard services company. The MOU expresses both parties’ interest in expanding their existing collaboration around Rail Vision’s AI-based ShuntingYard perception systems following successful evaluation and deployment.
The companies plan to discuss additional deployments, new use cases, rail car mover applications, and broader rail yard solutions, though any expansion remains subject to a future binding agreement. Rail Vision highlights that its technology has evolved from an advanced driver assistance system to an active platform supporting semi-autonomous operations, aimed at enhancing rail yard safety and operational continuity.
Rail Vision Ltd., an early commercialization stage railway safety technology company, reports that its majority-owned subsidiary Quantum Transportation has integrated a publicly accessible experimental surface-code dataset from Google Quantum AI into its Quantum Error Correction (QECC) transformer pipeline. The team built a standardized data adapter for dense binary syndrome measurements, added dynamic attention masking tailored to code distances and layouts, and created an end-to-end training loop that handles mixed batches of real experimental shots. This milestone is presented as reducing technical risk by moving beyond internal data formats and enabling scalable training and benchmarking on an external testbed. Rail Vision holds a 51% stake in Quantum Transportation, which is developing transformer-based neural decoder technology for advanced quantum error correction, including cloud deployments on AWS with potential applications in transportation and other industries.