
Vehicles and logistics
Live tracking, route optimization, predictive maintenance, and driver safety analytics — turning telematics into operational decisions.

overview
Route optimization accounts for traffic, time windows, vehicle load, and driver hours — recalculating dynamically as conditions change.
Predictive maintenance uses engine sensor trends and failure history to schedule service before breakdown. Both models are calibrated on your routes and fleet.
Routing and maintenance models calibrated on your route network and fleet. Savings validated against your historical data before deployment.
what we build
Live GPS, engine state, fuel level, and fault code telemetry across fleet
Dynamic route optimization respecting time windows, capacity, and driver hours
Predictive maintenance from sensor trends against vehicle-type failure models
Driver safety scoring: harsh braking, acceleration, speeding, cornering, idling
Compliance reporting for driver hours, inspections, fuel tax, and emissions
how it works
Vehicles stream location and telemetry; unified real-time fleet view.
Optimizer minimizes cost across traffic, windows, and capacity; recalculates live.
Sensor trends flagged against failure signatures with lead time to schedule.
Safety, fuel, utilization, compliance dashboards per driver, vehicle, and period.
use cases
Dynamic stop sequencing with live ETA updates and real-time recalculation.
Right engineer, vehicle, and load — proactive maintenance prevents job cancellations.
Location plus temperature and door-open events; alert before load is compromised.
Individual event history for coaching; fleet-level risk analytics over time.
Hours, idle time, and load factors reveal over-purchase and reallocation opportunities.