RAIL VISION LTD Stock Price, News & Analysis

Rail Vision (Nasdaq: RVSN) announced that the European Patent Office granted a patent on December 15, 2025 for its AI-based railway collision avoidance method and system.

The patent covers a forward-looking single-spectrum or multispectral electro-optical imaging approach, a novel system architecture and deep learning-based scene analysis using a two-stage CNN process: one CNN to determine the railway path and a secondary CNN to detect obstacles in real time. The system issues alarms for switches, obstructions, end-of-rail conditions and other hazards, supporting manned operation decision-making and enabling automated decisions for driverless trains.

This European grant builds on prior patent approvals in the United States, Japan, and India, reinforcing the company’s global IP protection for its AI, sensor and data technologies.

Rail Vision (Nasdaq: RVSN) signed an agreement to acquire 51% of Quantum Transportation, a quantum computing and AI company, via issuance of shares and a convertible loan. The closing is expected late December 2025 to early January 2026, subject to customary conditions.

Rail Vision will issue ordinary shares equal to approximately 4.99% of its outstanding capital immediately prior to issuance to certain Quantum shareholders and provide a convertible loan of up to $700,000 at 8% annual interest, repayable in one payment within a 24-month term (convertible at Rail Vision’s discretion). Quantum holds an exclusive sublicense for a pending patent in quantum error correction intended for rail technologies.

Rail Vision (Nasdaq: RVSN) signed an agreement to acquire 51% of Quantum Transportation, a quantum computing and AI company holding an exclusive sub-license for a pending quantum error-correction patent from Tel Aviv University. The transaction is expected to close in late December 2025–early January 2026, subject to customary conditions.

Upon closing Rail Vision will issue shares equal to ~4.99% of current outstanding capital to exchanging shareholders and provide a convertible loan of up to $700,000 at 8% interest, repayable within 24 months. The combination targets quantum-AI synergies for railway safety, anomaly detection, and predictive maintenance.

Rail Vision (NASDAQ: RVSN) will present at the LD Micro Main Event XIX on Tuesday, October 21, 2025 at 11:00 AM PT at the Hotel del Coronado in San Diego.

David BenDavid, CEO, will deliver the company's presentation. The three-day conference runs October 19–21, 2025 and features roughly 120 companies presenting in half-hour slots plus one-on-one investor meetings and a closing reception. Registration is available to watch the virtual presentation.

Rail Vision (Nasdaq: RVSN) signed a non-binding term sheet to acquire a 51% stake in Quantum Transportation, a quantum computing and AI company focused on patented machine learning-based quantum error correction.

Under the term sheet, Rail Vision would issue ordinary shares equal to approximately 4.99% of its share capital to select Quantum shareholders and provide a convertible loan up to $700,000 at 8% annual interest, repayable in one payment within 24 months and convertible at Rail Vision's discretion. The deal aims to combine quantum-AI IP with Rail Vision’s safety technologies to enhance anomaly detection, predictive maintenance, and autonomous rail capabilities. Closing is conditional on definitive agreements, milestones and regulatory approvals and is expected within 60 days if conditions are met.

Rail Vision (NASDAQ:RVSN) has signed a non-binding term sheet to acquire a 51% stake in Quantum Transportation Ltd., a quantum computing and AI company specializing in error correction technologies. The transaction involves Rail Vision issuing ordinary shares representing 4.99% of its share capital and providing a $700,000 convertible loan at 8% annual interest.

The strategic acquisition aims to combine Quantum Transportation's patented quantum-AI technology with Rail Vision's vision and safety systems. Quantum Transportation's machine learning-based universal decoder technology addresses quantum computing challenges in error correction, offering code-agnostic, noise-aware, and scalable solutions for transportation applications.

Rail Vision (NASDAQ: RVSN) has received a 180-day extension from Nasdaq until March 2, 2026, to regain compliance with the minimum bid price requirement. The company must achieve a closing bid price of at least $1.00 per share for a minimum of 10 consecutive business days to maintain its listing.

This extension was granted after Rail Vision failed to meet the requirement during its first 180-day compliance period ending September 2, 2025. The company continues to trade on the Nasdaq Capital Market under "RVSN" while exploring options to resolve the non-compliance, including the possibility of a reverse share split.

Rail Vision (NASDAQ:RVSN) reported its first half 2025 financial results, showing a strengthened cash position of $22.4 million as of June 30, 2025, up from $17.2 million at the end of 2024. The company reported revenues of $237,000, a 69% decrease from the same period in 2024.

Key developments include expansion into Central America with a MainLine system purchase order, a $335,000 follow-on order from a Latin American mining company, and entry into the Indian market through a binding MOU with Sujan Ventures. The company posted a GAAP net loss of $5.679 million ($0.11 per share) and a non-GAAP net loss of $4.869 million ($0.10 per share) for H1 2025.

Rail Vision (Nasdaq: RVSN) has secured a European patent for its innovative locomotive imaging technology that enhances sampling rates for Selected Regions of Interest (SROI). The system combines an imaging device with a processing unit to capture and analyze visual data from train-mounted cameras.

The technology features a tracking module that detects rails, defines safety margins, calculates braking distances, and establishes safe zones. By focusing on specific regions of interest, the system achieves higher sampling rates in critical areas, enabling earlier hazard detection and faster response times for train operators.