Rail Vision Ltd.
NASDAQ Capital MarketCapital Structure
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in mil. unless spec.Quarterly Earnings Per Share
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in mil. unless spec.Company Description
- CEO
- David BenDavid
- Full Time Employees
- 53
- Sector
- Industrials
- Industry
- Railroads
- Address
- 15 Ha'Tidhar Street Ra'anana HM Israel 4366517
- IPO Date
- Mar 31, 2022
- CIK
- 0001743905
- Website
- railvision.io
- Similar Companies
- Business
- Rail Vision Ltd. (RVSN) designs, develops, assembles and sells advanced AI-based railway detection systems leveraging cognitive vision sensor technology, electro-optic sensors, big data and deep learning algorithms to enhance operational safety, efficiency, predictive maintenance and collision prevention on railways. The company's core products and services include main line systems for passenger and freight locomotives featuring optics, visible light spectrum (video) and thermal cameras integrated with ruggedized on-board computers for real-time obstacle detection up to 2 kilometers in all weather and lighting conditions; shunting yard systems for yard operations; light rail vehicle solutions; rail vision data services; maintenance and predictive maintenance systems; geographic information systems for track mapping and updates; supervision, guidance and training services; and DASH, a cloud-based SaaS platform for fleet and infrastructure analysis, reporting and alerts. Rail Vision operates in Israel, Latin America, the United States, Central America and targets expansion into India through a 2025 memorandum of understanding with Sujan Ventures for Indian Railways; the company, founded in 2016 and headquartered in Ra'anana, Israel, recently signed a binding agreement on December 1, 2025, to acquire a 51% stake in Quantum Transportation Ltd., a quantum computing and AI firm for transportation, following a non-binding term sheet in September 2025, and reported strengthened cash reserves of $22.4 million as of June 30, 2025, alongside initial commercial orders including a MainLine system purchase from a Central American freight operator and a $335,000 follow-up order from a Latin American mining firm.
Company News
Rail Vision Introduces TrackScout and YardFlow Flex as New Brand Names for its Mainline and Switchyard Solutions
Rail Vision (RVSN) Expected to Release Quarterly Earnings on Wednesday
Rail Vision Selected for U.S. Rail Industry Testing Program, Advancing AI-Powered Technology from Roadmap to Real-World Evaluation
Rail Vision Delivers Strong Commercial Momentum in First Half of 2026 with Revenue Exceeding $1 Million
Rail Vision Announces Recent Major Achievements with Industry Leaders in the US and Local Markets
Rail Vision Technology Integrated into Railserve's Commercially Launched Industrial Railyard Safety System
Rail Vision Technology Integrated into Railserve’s Commercially Launched Industrial Railyard Safety System
Rail Vision and Railserve, a Marmon Rail Company, Sign MOU to Expand Collaboration
Rail Vision and Railserve, a Marmon Rail Company, Sign MOU to Expand Collaboration
Rail Vision: Quantum Transportation Successfully Integrates Google's Public Surface-Code Dataset into its Quantum Error Correction Transformer
Rail Vision Announces Second Half and Full Year 2025 Financial Results
Rail Vision (RVSN) Expected to Announce Earnings on Monday
Rail Vision's Ordinary Shares Commenced Trading on the Frankfurt Stock Exchange
Rail Vision's MainLine System Delivers Strong Performance in India, Supporting Potential Deployment Opportunities
Rail Vision: Quantum Transportation Advancing Toward Quantum Hardware Integration
Moonage Media Review: Viewbix (VBIX) Targets Israel's Multi-Disciplinary Quantum Hub in Strategic Acquisition Move Toward the Quantum Future
Rail Vision Regains Compliance with Nasdaq Minimum Bid Price Requirement
Rail Vision CEO: Concluding 2025 with a Strong Cash Position, Zero Debt, Commercialization Gains, Global Expansion and Powerful Partnerships. Quantum Rail Innovation Ahead
Rail Vision Advances Strategic Collaboration with Israel Railways Cargo Division
Rail Vision: Quantum Transportation Unveils Transformer Neural Decoder That Outperforms Classical QEC Algorithms in Simulations