We use a mobile app to capture driving patterns and behavioral signals from fleet drivers, which are sent to our backend where machine learning models analyze the data to predict fatigue before it becomes dangerous. Instead of reacting to fatigue after it occurs, we generate real-time risk scores and early warnings that allow fleets to intervene proactively.
Fleet managers access our web portal to see alerts, driver risk insights, and performance analytics. The system helps them reduce fatigue-related incidents, improve driver performance, and lower costs related to accidents, insurance, and downtime