ForeFix – Predictive Maintenance Engine

Transforms dense vehicle telemetry into actionable insights.

ForeFix processes 2–5 million messages per vehicle per day to detect anomalies, assess component health, and forecast potential failures.
 It reduces downtime, prevents breakdowns, and enables operations teams to make decisions based on clear, high-integrity data.

Core Capabilities

  • Real-time monitoring of engine, transmission, electrical systems, and safety components

  • Anomaly detection using ML-driven signal analysis

  • Failure forecasting days or weeks in advance

  • Repair recommendations based on signal deviations and pattern recognition

  • Fleet-wide insights for downtime reduction and operational planning

  • API/SDK integration into VMS/TMS platforms

Use Cases

  • Predicting battery or alternator failures

  • Identifying brake or transmission degradation

  • Detecting abnormal fuel or thermal patterns

  • Optimizing fleet maintenance cycles

  • Reducing unplanned downtime

  • Improving warranty and after-sales efficiency for OEMs

Why It Matters

ForeFix prevents costly failures and helps operations teams stay ahead of mechanical issues.
 It transforms telematics from raw data into foresight.