Rail Vision

Rail Vision

Rail Vision formed in 2016 in Ra'anana, Israel, with the narrow thesis that computer vision and deep learning could solve a stubborn industrial-safety problem: trains still hit things. The company's founding team brought dual-domain fluency in railway signaling and electro-optical sensor engineering. Shahar Hania, the CEO, steers the firm's commercial strategy, while the engineering bench integrates long-range thermal cameras with visible-light sensors and AI inference — a stack that analyzes track conditions, classifies obstacles, and alerts crews without requiring always-on cloud connectivity. Rail Vision sells two product lines built on the same sensor-fusion architecture. The MainLine system mounts on operational locomotives and detects objects, vegetation overgrowth, and signal states up to 2 kilometers ahead under all light conditions. The SwitchYard product targets low-speed yard and shunting operations, where crew visibility is often blocked by rolling stock and infrastructure. Revenue comes from hardware sales, recurring software licenses, and condition-based maintenance subscriptions. The firm's order book includes a pilot with Israel Railways and a commercial agreement with a subsidiary of Rio Tinto for autonomous ore-train operations in Western Australia. Rail Vision also holds European certification under the EU Agency for Railways' TSI framework, clearing a path for adoption in France, Germany, and Switzerland. Since listing on Nasdaq in March 2022 under the ticker RVSN via a merger with a special-purpose acquisition company, Rail Vision has operated with approximately 40-50 employees across its Ra'anana headquarters. It deploys a business-development model that pairs direct sales to Class I freight railroads and national passenger operators with distribution partnerships — notably a reseller agreement with a Latin American railway-services firm to target mining and freight lines in Brazil and Chile. March 2025: The company announced its MainLine system had received certification from an EU Notified Body for a European national railway operator, advancing a paid proof-of-concept toward a fleetwide deployment contract (per the firm, March 2025). Rail Vision approaches the railway automation market with a bolt-on product architecture that avoids deep integration with legacy signaling systems and does not require wayside infrastructure — a deployment model that lowers procurement friction versus competitors building comprehensive train-control suites. Its structural differentiator is a pure-play obstacle-detection mandate delivered through a sensor head that can be fitted in hours, which separates the purchasing decision from multi-year signaling modernization programs.