One unified AI platform covering the full operational lifecycle — from engine fault detection to investor-grade performance reporting. Every module deploys independently or as a fully integrated suite.
Each module is independently deployable — built for fleets of 10 to 10,000 vehicles, in any sector.
Our ML models process OBD-II telemetry, vibration, and thermal data to detect fault signatures up to 14 days before failure with 98% accuracy.
Traffic, road conditions, weather, and load data feed our routing engine — continuously recalculating the optimal path for each active vehicle.
In-cabin computer vision and telematics score every driver across safety, efficiency, fatigue, and compliance in real time.
Real-time, single-pane-of-glass view of location, health, fuel, and driver score for every vehicle — live on web and mobile.
For electric fleets — charge scheduling that maximises battery longevity, prevents stranded vehicles, and minimises energy costs.
Plug-and-play OBD-II dongles and CAN bus adapters retrofit any vehicle into a fully connected data-streaming asset in under 30 minutes.
A continuous intelligence loop — data in, actionable decisions out, always running in the background.
OBD-II & CAN bus streams from every vehicle at 10Hz via 4G/LTE or LoRaWAN
On-device ML runs first-pass anomaly detection before data leaves the vehicle
Kafka streams feed ML models for fault prediction, routing, and driver scoring
Prioritised notifications pushed to managers, drivers, and maintenance teams
Every outcome feeds back into models — accuracy improves with every season
Book a 30-minute live demo on real vehicle data — no slides, no fluff.