Real-time fuel prediction without additional hardware
Our AI-powered virtual sensor predicts fuel consumption with 97% accuracy using your existing fleet data — no extra hardware, no complex installations.
Machine learning meets fleet telemetry
The Virtual Sensor integrates with your existing Fleet Management System (Modular, Jigsaw, Wenco) and truck sensors, combining vehicle telemetry with external data to deliver continuous, real-time fuel consumption predictions.
Data Integration
Connects to your existing FMS and onboard sensors — engine RPM, speed, load, GPS position — without any additional hardware.
AI Prediction Engine
Machine learning models process telemetry alongside external factors like road grade, temperature, and spatial segmentation to predict fuel consumption in real time.
Intelligent Refueling
Optimizes refueling strategies by maintaining ideal remaining fuel levels (20-30%), reducing station time and maximizing truck uptime.
Maximize fleet uptime, minimize waste
Greater Availability
Trucks spend less time at fueling stations, increasing effective operational hours per truck per month.
Reduced Congestion
Intelligent refueling scheduling prevents bottlenecks at fueling stations, smoothing fleet operations.
Greater Predictability
Accurate fuel level predictions enable better planning and reduce unexpected operational stops.
OEM Agnostic
Works across all major truck brands and models — Caterpillar, Komatsu, Liebherr, and more.
Real results from real operations
Measured results from mining operations using the Virtual Sensor in production environments.
97%
Prediction accuracy
+11.5%
Increase in effective operational time
+15.6h
Additional effective hours per truck per month
30%
Less time at fueling stations
$535K
Annual savings per operation
552
Additional transport cycles per year
Let's have a talk
Whether you're curious about features, a live demo or looking for a specific solution - we're ready to answer any and all questions.
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