RailVision
Automated early warning system (AEWS) improving safety, productivity, and reliability of railways.
| USD | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | - | (53 %) | (66 %) | 815 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | - | - | (1143 %) | (2514 %) | (7910 %) | 871 % |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | - | - | (1151 %) | (2488 %) | (7851 %) | (2362 %) |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| R&D % of revenue | - | - | 55 % | 1480 % | 5032 % | 30 % |
Source: Company filings or news article
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Rail Vision is a pioneering company in the railway industry, leveraging advanced electro-optic sensors, artificial intelligence (AI), and deep learning technologies to enhance railway safety and efficiency. The company serves a diverse range of clients including mainline rail operators, shunting yard managers, and urban light rail systems. Operating in the global railway market, Rail Vision's business model revolves around providing cutting-edge solutions that detect obstacles up to 2,000 meters away, streamline yard operations through visual data, and prevent collisions in urban environments. Revenue is generated through the sale and maintenance of these high-tech systems, as well as through big data services that analyze rail infrastructure and surroundings.
Keywords: electro-optic sensors, AI, deep learning, railway safety, obstacle detection, collision avoidance, mainline rail, shunting yard, urban light rail, big data services.