AI and Analytics
Transight transforms over 1 billion data points daily into real-time, actionable intelligence. Supporting 20K+ connected vehicles and assets, the platform helps organizations optimize operations, enhance decision-making, and accelerate business growth through a unified, data-driven ecosystem.
Solutions
AI Solution
Employs advanced AI and machine learning to monitor driver behaviour, identify potential safety risks, and deliver real-time alerts and analytics for enhanced fleet safety and performance.
Analytics Solution
Transforms vehicle and operational data into actionable insights with real-time dashboards, performance reports, trend analysis, and predictive analytics for smarter decision-making.
Employs advanced AI and machine learning to monitor driver behaviour, identify potential safety risks, and deliver real-time alerts and analytics for enhanced fleet safety and performance.
Features
Predictive Maintenance
Predicts equipment failures and optimises spare parts using real-time health data.
Driver Behaviour Intelligence
Uses AI to monitor driving patterns and detect risky behaviour such as fatigue, distraction, or harsh driving, delivering real-time alerts to improve driver safety.
AI Video Analytics
Uses computer vision to detect safety events, distracted driving, and road hazards from live video feeds in real time.
Route Optimisation
Recommends the most efficient routes based on traffic, distance, and delivery priorities to cut travel time and fuel costs.
Fleet Health Intelligence
Continuously monitors vehicle and asset health indicators to flag potential issues before they escalate into breakdowns.
AI Alerts
Deliver instant, AI-driven notifications for critical events, enabling fleet managers and dealers to respond proactively.
Utilisation Analytics
Tracks vehicle and asset usage and idle time to maximise fleet utilisation and reduce costs.
Modern Solution
Generative AI
Generates natural-language summaries, driver coaching notes, and incident narratives automatically from fleet and trip data.
Agentic AI
Autonomously triggers workflows such as maintenance scheduling, dispatch re-routing, and driver alerts in response to live conditions, with minimal manual intervention.
Predictive AI
Forecasts equipment failures, safety risks, and demand patterns from historical and real-time telematics data, powering predictive maintenance and driver risk scoring.
Prescriptive AI
Recommends the next best action, such as optimal routes, service intervals, or coaching interventions, based on predicted outcomes.
Artificial Narrow Intelligence (ANI)
Purpose-built models for specific tasks, such as fatigue detection or harsh-driving classification, tuned for high accuracy on a single job.
Computer Vision
Reads live in-cabin and road-facing video through the DMS and ADAS cameras to detect distraction, drowsiness, and collision risks in real time.
Deep Learning
Neural network models trained on video telematics and DMS footage continuously improve detection accuracy for driver behaviour and road hazards.
