First of all, what happened in Spain is absolutely tragic. A lot of lives were lost, and this isn’t about exploiting an accident — it’s about asking whether incidents like this highlight a bigger structural issue in the rail industry.
After reading more about the accident, I couldn’t help but think about how much rail safety still depends on legacy systems, human reaction time, and outdated detection technology. Many networks are running on infrastructure that’s decades old, with limited real-time obstacle detection or AI-assisted prevention.
That’s where companies like RVSN (RailVision) come to mind. Their tech focuses on long-range visual detection using AI and thermal imaging to identify obstacles, people, or hazards far ahead of the train — in conditions where the human eye or traditional systems struggle.
I know the stock itself has been a roller coaster over the last \~13 months, and there are plenty of valid concerns around dilution, revenue timing, and execution. But purely from a **technology and use-case perspective**, this kind of system feels like something the industry will eventually *need*, not just want — especially as traffic density increases and safety standards tighten.
I’m curious what others think:
* Do accidents like this accelerate adoption of new rail safety tech, or does the industry move too slowly?
* Do you see AI-based detection systems becoming standard in the next decade?
* Is RVSN early… or just too early?
Genuinely interested in hearing different perspectives — bullish, bearish, or neutral.