We’ve all experienced it: an engine warning light pops up on your dashboard, but you keep driving because you don’t actually know the story behind the alert.
The same thing happens across the rail industry every day. Trackside sensors generate millions of alerts, but because engineers can't easily verify if they are real, serious, or what caused them, critical decisions get delayed. This "measurement gap" between detection and action is buried deep in your balance sheet as unplanned downtime, over-maintenance, and premature asset wear.
Argos and Monitor360 by HBK bridge this gap. By combining highly accurate optical fiber sensing with physics-informed machine learning, we turn raw trackside data into trusted, actionable maintenance windows.
The result? A 50% increase in wheel service life (from 1M to 1.5M km), a 13% reduction in maintenance costs, and up to a 50% drop in unplanned downtime.