RVSN

RVSN announced it has joined NVIDIA Metropolis, a partner program, application framework, and set of developer tools focused on bringing to market a new generation of vision AI applications
RVSN Announced first-ever commercial installation of its AI-driven systems in a national railways line
The company achieved regulatory approval and certificate for railway operation in Europe
Check Out the Investor Presentation HERE
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Hello Everyone,
AI is increasingly being utilized in various aspects of train operations and management to enhance efficiency, safety, and passenger experience. There are several ways that AI is being applied in the train industry:
- Predictive Maintenance: AI algorithms analyze data from sensors installed on trains and railway infrastructure to predict when components are likely to fail. This proactive approach helps prevent unexpected breakdowns and reduces downtime, ultimately improving service reliability.
- Smart Infrastructure Management: AI can optimize traffic flow by analyzing data from various sources, such as train schedules, passenger demand, and real-time conditions. This enables better decision-making for scheduling trains, managing routes, and minimizing delays.
- Automated Train Operations: Autonomous or semi-autonomous trains leverage AI to control acceleration, braking, and speed, optimizing energy consumption and reducing human error. This technology holds promise for increasing capacity and improving safety.
- Enhanced Safety Systems: AI-powered systems can monitor tracks, crossings, and signals in real-time, detecting potential hazards like obstructions or unauthorized access. This improves overall safety for both passengers and railway workers.
- Customer Service and Experience: Chatbots and virtual assistants powered by AI can handle customer inquiries, provide real-time information about schedules and delays, and even assist with ticket booking. Natural language processing enables these systems to understand and respond to passenger queries effectively.
- Security and Surveillance: AI-enabled video analytics can enhance security by monitoring stations and trains for suspicious behavior or unauthorized access. These systems can also help identify lost items or locate missing persons.
- Optimized Energy Management: AI algorithms can analyze energy consumption patterns and adjust power usage in real-time to minimize costs and environmental impact. This includes optimizing HVAC systems in trains and stations and managing electricity usage in depots.
- Data Analytics and Decision Support: AI techniques such as machine learning enable operators to analyze large volumes of data to identify trends, patterns, and opportunities for improvement. This data-driven approach supports informed decision-making in areas like scheduling, maintenance, and infrastructure planning.
Overall, AI is revolutionizing the train industry by enabling smarter, more efficient, and safer operations while enhancing the passenger experience.
We have another company that we urgently want you to get on your radar and research it immediately that involved in this exact sector.
Pull up RVSN right away.
Rail Vision designs, develops, and manufactures pioneering systems to improve railway safety and maintenance through electro optic sensors, Artificial Intelligence and Deep Learning.
Founded in 2016 with more than 60 employees based in Raanana Israel dedicated to – paving the way to a safer and more efficient rail future. Using advanced obstacle detection & classification technology, Rail Vision detects objects on and along the tracks from a distance up to 2 kilometers – in real time, as well as under most weather and light conditions.
Rail Vision’s solutions address key issues within the industry such as the obstacles and accidents, high operational costs, lack of personnel, capacity and maintenance issues, intense traffic on the tracks, extensive driving distances, and weather and light conditions.
Rail Vision’s electro-optic sensors (including thermal and day camera), AI and Deep Learning solutions overcome limited vision, expanding the range of sight, decreasing downtime, while increasing punctuality, efficiency, and safety.
RECENT CATALYSTS
*One Of North America's Largest Freight Rail Companies Places A "Milestone" Order.
*Rail Vision's Usage Of NVIDIA's AI Tech Could Be A Game-Changer.
*Another Milestone To Note Immediately (Commercial Installation Of AI-driven Main Line Systems).
*A French Multinational Manufacturer Provides Approval For Key Installation.

The Problem - Railway accidents, loss of life, and financial losses for train companies.
- Obstacles and faulty railway infrastructure.
Huge infrastructure in.vest.ments - the total in.vest.ment in railway track infrastructure maintenance and renewal in Europe in 2016 was € 25Bn.
- Severe railway accidents - the braking distance is substantially longer than the driver’s visual capacity.
2019 - over 1,552 severe railway accidents in the European Union countries alone.
- Loss of life and substantial financial losses for the train companies.
Alternatives - Currently available in the railway market.
- Attempts to use technologies from the automotive world which are unsuitable for the railway world (speed and distance).
- Technologically inferior solutions - short ranges and inadequate resolution.
- Static cameras incapable of monitoring the railway infrastructure.
- Focus on level crossings, lacking a solution for the route.
The Solution - Technological progress for the railway world.
- Artificial intelligence (AI)-based systems.
- Able to detect objects over 1 mile away.
- Obstacle detection and identification on and near the track.
- Ability to function under severe weather and conditions of limited visibility.
- Big Data collection for preventive maintenance.
- Passive, autonomous, and long-range detection systems.

Main Line
Improving the safety of train operations while ensuring business continuity.
The Company's Main Line system provides an extended visual range of up to 2 km (1.2 mi), even in challenging weather and light conditions, improving the safety of train operations, preventing collisions, and reducing downtime. Designed to overcome the challenges of the modern train industry.
1. Wide Field of View Camera
Offering unparalleled wide coverage of the track ahead, their wide field of view camera ensures full visibility of any landscape at up to 2 km distance.
2. Narrow field of view camera
Complementing the other cameras in the array, their narrow field of view camera provides unparalleled vision to the driver. Delivering full visibility up to 2 kilometers ahead.
3. Thermal camera
The Company's advanced thermal camera seamlessly fuses to provide complete visibility over long distances, even in challenging environments and adverse conditions.
Shunting Yard
Reducing complexity through innovation and technology.
Combining advanced vision sensors with AI and deep learning, Rail Vision's cutting-edge ShuntingYard system automatically detects and classifies objects within a range of 200 m – in any weather or light conditions – and provides the perfect assistant for the coupling process.
1. Day View Camera
Offering unparalleled wide coverage of the track ahead, from side-to-side and front-to-back ensuring full visibility.
2. Thermal Camera
Our advanced thermal camera seamlessly fuses to provide enhanced visibility in challenging weather. Complementing the wide field of view camera in adverse light conditions.
3. Coupling Camera
Offering a distinct detailed view of the couplers, the camera covers all angles of the coupling process, revealing unseen and blocked angles such as the long nose of the locomotive. Ensuring a safe and reliable working environment for both drivers and shunting yard workers.

Rail Vision Received $1 Million Order out of a Contract Valued at Up to $5 Million with Leading US-Based Rail and Leasing Services Company
APR 11, 2024 7:17AM EDT
Ra’anana, Israel, April 11, 2024 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (the “Company”), a technology company at the forefront of revolutionizing railway safety and the data-related market, announced today that it has received an initial purchase order amounting to approximately $1 million as part of a contract valued at up to $5 million with a leading US-based rail and leasing services company that the Company announced on January 17, 2024. The order is for the purchase of Rail Vision’s AI-based ShuntingYard products, which are expected to be installed during the third quarter of this year.
“We're delighted with the successful execution of our contract with this esteemed customer, marking the receipt of our initial order from it. Since the start of 2024, we've been expanding our presence in the US, achieving significant milestones in collaboration with leading companies in the rail industry. We intend to persist in our marketing endeavors, recognizing the growing demand for our innovative AI-driven safety solutions,” said Rail Vision CEO, Shahar Hania.
The first phase of the contract is valued at $1,000,000. Follow-on orders for additional ShuntingYard products, valued at up to $4,000,000, are subject to customer approval. The contract also includes specific purchase quotas that, if met, provide the customer with exclusivity in the North American industrial railyards switching segment.
Rail Vision’s unique ShuntingYard product enables railway operators to streamline and enhance the safety of their industrial switching operations. Combining advanced vision sensors with artificial intelligence and deep learning technologies, the system automatically detects and classifies objects within a range of up to 200 meters in diverse weather and light conditions. With its one-of-a-kind Pathfinder technology, the ShuntingYard product detects switch states to support the execution of coupling from even from a remote position. In addition, it enables the monitoring of operational dead zones to facilitate secure wagon coupling and sends real-time visual and acoustic alerts to remote operators and drivers, ensuring a safe and secure environment.
Rail Vision Reflects on Positive Operational Highlights Since the Start of 2024: Scaling Up Commercialization
MAY 24, 2024 8:15AM EDT
- Announced first-ever commercial installation of its AI-driven systems in a national railways line
- Achieved regulatory approval and certificate for railway operation in Europe
- Joined NVIDIA metropolis to boost railway safety
- Received order from a Class 1 US railroad company for its AI-based safety products
- Expanded USA footprint with a national distributer engagement for Rail Vision AI- driven railway system US
- Received an order for its AI-driven ShuntingYard product from Loram, a leading US-based provider of railway track maintenance equipment and services
- Received notice of allowance for US patent on AI-powered railway obstacle detection system
Ra’anana, Israel, May 24, 2024 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (the “Company”), a technology company at the forefront of revolutionizing railway safety and the data-related SaaS market, today shared several commercial and technological accomplishments since the start of 2024, including valuable developments with tier one rail companies in the United States, the expansion of its distribution network and additional new partnerships and technological advancements. As Rail Vision progresses through 2024, the Company remains focused on scaling up to capitalize on opportunities with industry leaders, especially in United States.Additional Q1 2024 and recent key milestones and achievements:
- Revealed its next generation computing unit for its accident prevention AI-based ADAS products MainLine and ShuntingYard
- Received notice of allowance for US patent on AI-powered railway obstacle detection system
- Received patent approval from the Indian patent office
- Received $1 million order out of a contract valued at up to $5 million in potential follow-on orders with leading US-based rail and leasing services company
"Recent months were fruitful for the company. We significantly expanded our reach in the US, advanced our technology, and strengthened our IP protection," said Shahar Hania, CEO of Rail Vision. "We started 2024 by securing over $5 million to fuel our business through a pair of financing transactions . In the last five months, we achieved important milestones, including the first-ever commercial installation of our products, several engagements with US industry leaders, a significant regulatory certification in Europe, and multiple patent approvals. Looking ahead, we plan to bolster our global awareness as a provider of innovative and advanced railway safety."
Rail Vision Successfully Installs AI-Driven System for Class 1 USA Operator
Ra’anana, Israel, June 10, 2024 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (the “Company”), a technology company at the forefront of revolutionizing railway safety and the data-related market, today announced the successful installation of its AI-driven ShuntingYard product for a class 1 freight rail US-based company.
The North American Class 1 rail company will use the system on its locomotive for evaluation in different scenarios related to safety and efficiency.
This installation follows the purchase order, announced in March 2024, and is yet another step in the company’s goal of enhancing the safety and efficiency of the American railway industry. The installed system integrates state-of-the-art technologies designed to provide real-time monitoring and obstacle detection, ensuring the highest standards of safety for rail operations, and is build to meet rigorous railroad demands, offering unparalleled reliability and performance.
Shahar Hania, CEO of Rail Vision, said: "We are proud to have fulfilled this important order, delivering and installing our advanced safety system to one of North America’s Class 1 rail companies. This project proves the critical role that our technology aims to play in the market, where safety is paramount.”
Rail Vision Receives Purchase Order from Loram, a Top US-Based Railway Track Maintenance Supplier
PUBLISHED
APR 3, 2024 9:18AM EDT
Ra’anana, Israel, April 03, 2024 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (the “Company”), a technology company at the forefront of revolutionizing railway safety and the data-related market, today announced it has received an order for its AI-driven Switch Yard System from Loram, a leading US- based provider of railway track maintenance equipment and services.
The order from Loram serves as a pilot project aimed at leveraging Rail Vision’s advanced technology to enhance Loram's rail track maintenance operations. This collaboration emphasizes both companies' commitment to pioneering railway safety and operational efficiency. Should the pilot prove successful, the two companies will consider an expansion of this collaboration, further integrating Rail Vision's innovative solutions into Loram's service offerings across the United States.
Further cementing its presence in the U.S. market, Rail Vision's engagement with Loramexpands its growing footprint, building on recent milestones, which include a significant sale to a Class 1 US Railroad Company and securing an order from a leading US-based rail contractor valued at up to $5 million.
“We are excited to embark on this project with Loram, a company that shares our dedication to enhancing rail safety and efficiency through innovation and technology,” said Shahar Hania, Rail Vision's Chief Executive Officer. “We believe that this collaboration, alongside our recent successes in the US market, represents a step forward in our mission to redefine railway operations worldwide and establish our brand in the US.”
About Loram
Based in Hamel, Minnesota Loram has offices around the world and offers a range of services including rail grinding, ballast cleaning, friction management, material handling, track inspection technologies, and structural monitoring. For more information about Loram and its services, please visit www.Loram.com
Rail Vision score major US order advancing railway safety using its AI technology
Rail Vision CEO Shahar Hania joined Steve Darling from Proactive to share exciting news about the company securing an order for its innovative AI-powered Switch Yard System from a Class 1 freight rail company in North America. This order, previously announced, marks a significant milestone for Rail Vision as it expands into the North American market and sets a new standard for safety and efficiency in rail operations. The freight rail company, one of the largest in North America, will install and evaluate the system on its locomotive to test various safety scenarios.
Hania explained that Rail Vision's Switch Yard System utilizes electro-optic sensors combined with AI, machine learning, and Advanced Driver Assistance System solutions to address limited vision issues, extending the range of sight and reducing downtime. By enhancing punctuality, efficiency, and safety, the system aims to revolutionize rail operations.
This announcement comes shortly after Rail Vision received another order for its AI-driven Switch Yard System from Loram, a leading US-based provider of railway track maintenance equipment and services. The order from Loram serves as a pilot project to integrate Rail Vision's advanced technology into Loram's rail track maintenance operations. This collaboration underscores both companies' commitment to advancing railway safety and operational efficiency.
If the pilot project proves successful, Rail Vision and Loram will explore opportunities to expand their collaboration, potentially integrating Rail Vision's innovative solutions into Loram's service offerings across the United States. This strategic partnership highlights the potential for Rail Vision's technology to make a significant impact on the railway industry's safety and efficiency standards. Watch the full interview for more insights into Rail Vision's recent developments and its vision for the future of rail transportation.
NEWS
Mar 26, 2024
- Rail Vision Engages with US Distributer for its AI- Driven Railway system
- Mar 18, 2024
- Rail Vision Received Order from a Class 1 US Railroad Company for its AI-Based Safety System
- Mar 11, 2024
- Rail Vision Deploys its Groundbreaking AI Safety System in a National Railways Line
- Mar 6, 2024
- Rail Vision Joins NVIDIA Metropolis to Boost Railway Safety Systems
- Feb 29, 2024
- Rail Vision Sets New Safety Standards for Europe: Achieves Regulatory Approval and Certificate for Railway Operation in the EU
- Feb 26, 2024
- Rail Vision to Showcase its Safety AI-Driven Systems to US Railroad Leaders
- Feb 22, 2024
- Rail Vision Announces First-Ever Commercial Installation of its AI-Driven Systems in a National Railways Line
- Feb 20, 2024
- Rail Vision Increases Railway Safety with its Next Generation AI Computer
- Feb 12, 2024
- Rail Vision Receives Patent Approval from the Indian Patent Office
- Feb 5, 2024
- Foresight: Rail Vision Reveals its Next Generation AI Computer for Railway Safety and Accident Prevention
- Jan 31, 2024
MANAGEMENT TEAM
Shahar Hania
CEO & Co-Founder
Shahar is an electro-optics expert with vast experience in the fields of combined electro-optics systems, detection/IR systems and lasers. He led Rail Vision’s Research and Development department for 5 years, before being appointed its CEO. Previously, Shahar held the position as senior system engineering at Rayteq Photonic Solutions, Elop/Elbit and Bird Aerosystems. He has a B.Sc. in Physics and Electro-optics Engineering from JCT (Jerusalem College of Technology) and a M.Sc. in electro-optics engineering from Ben-Gurion University.
Ofer Naveh
CFO
Ofer brings more than 15 years of experience in accounting and financial management at KPMG’s audit practice and in numerous financial and accounting roles at public companies traded in Israel and the US. He holds a B.A. in Accounting and Business from The College of Management Academic Studies and a M.A. in Law from Bar-Ilan University.
Zachi Bar-Yehoshua
COO
Zachi brings managerial experience of more than 17 years in both the High-Tech sector and traditional industries in various service and operation roles. He holds a B.A. in Management and M.B.A in Business Administration from the Open University of Israel.
Amit Klir
VP R&D
Amit has extensive experience in managing multidisciplinary teams and has been product manager and leader of a variety of projects. He has set up and led the development of medical products, products combining video-processing, signals and advanced algorithms in a variety of leading hi-tech companies. Amit holds a B.Sc. in Electrical and Computer Engineering, specializing in DSP from the Ben-Gurion University in Beer Sheva.
Sincerely,

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