Overview
Intangles Fleet Intelligence In Action
An overview of how InRoute™ combines AI, physics-based modeling, and AWS integration to enable predictive maintenance, operational efficiency, and data-driven decision-making for fleets.
Intangles is a Predictive Fleet Intelligence platform that transforms real-time vehicle data into actionable insights to maximize uptime, fuel efficiency, and safety. Powered by AI-Driven, physics-based digital twin modeling and machine learning, InRoute™ platform helps fleet operators anticipate issues, reduce downtime, and optimize performance across every vehicle in operation.
InRoute™ delivers predictive vehicle health monitoring, detecting anomalies in critical systems such as engine, battery, and coolant health before they cause failures. Fleets using InRoute™ have achieved up to 75% fewer breakdown events and 10 to 30% higher asset availability.
The platform also enables precise fuel and DEF monitoring, driver behavior analytics, and emission compliance tracking, driving cost-effective and sustainable fleet operations.
Built for edge-to-cloud scalability, InRoute™ integrates seamlessly with existing systems. Its intuitive dashboards, real-time alerts, and historical insights empower fleet managers to take proactive, data-driven decisions.
Transform your fleet operations into an intelligent, predictive ecosystem. Contact Intangles to learn how you can prevent downtime before it happens. With Intangles there are No Vehicle Breakdowns.
Highlights
- Predictive Intelligence: Intangles leverages AI and Digital Twin technology on AWS to deliver real-time visibility into fleet performance, predicting component failures before they occur and maximizing uptime.
- Real-Time Fleet Insights: A single platform integrating vehicle health, fuel management, and driver analytics - transforming raw telematics data into actionable intelligence across your operations.
- Seamless Integration: Intangles integrates natively with AWS services, enabling flexible data pipelines, analytics, and secure API-based workflows for fleet-wide intelligence.