AI Infrastructure Platform · Indian Railways
We build AI and IoT sensor systems deployed on the live railway network — detecting anomalies, predicting faults, and sending instant alerts before failures happen. This is not prototype work. This is AI on critical infrastructure that protects millions of passengers.
Purpose-built AI sensing platforms deployed trackside and on overhead infrastructure — each tackling a top cause of disruption and derailment on Indian Railways.
Overhead Equipment & Traction Power
An AI-powered sensor system for real-time monitoring of overhead equipment (OHE) and traction power lines — detecting voltage anomalies, sag, and wire faults before failures occur.
View LLMG HABDTrackside Thermal & Vibration Sensing
A trackside AI thermal and vibration system that detects overheating axle boxes on passing trains — one of the top causes of derailment — with train, coach, and axle-level precision.
View HABDThe Live Line Monitoring Gauge (LLMG) is an AI-powered sensor system deployed on Indian Railways infrastructure to provide real-time monitoring of overhead equipment (OHE) and traction power lines. It detects anomalies, predicts faults, and sends instant alerts — before failures happen.
Raw sensor signals are processed through ML models to remove noise, correct drift, and improve measurement precision beyond hardware limits.
Trained models identify abnormal patterns — voltage spikes, current drops, sag irregularities — that rule-based systems miss.
AI continuously monitors sensor health and autonomously flags degradation, calibration issues, or hardware faults.
The Pune Division faced recurring unplanned OHE failures on the Mumbai–Pune stretch — one of the country's highest-traffic corridors. Failures were caught only after a train stopped or a section tripped, cascading delays across 50+ trains daily. Manual inspection every 30 days was far too infrequent to catch early degradation.
The Hot Axle Box Detection (HABD) system is a trackside AI-powered thermal and vibration sensing solution that detects overheating axle boxes on passing trains — one of the top causes of derailments in Indian Railways. It provides real-time alerts with train ID, coach number, and severity before the train reaches the next station.
AI compensates for environmental interference — ambient temperature, weather, train speed — to deliver precise axle readings regardless of conditions.
Models trained on thousands of axle signatures distinguish genuine bearing faults from false positives — reducing unnecessary train halts.
The system self-checks sensor calibration, optical alignment, and communication health, auto-flagging any degradation for maintenance.
Hot axle box failures were the leading cause of unscheduled halts and derailment risk on this section. Trackside staff visually inspecting passing trains missed early-stage bearing failures — impossible at night or high speeds. One undetected failure had previously caused a goods train derailment and a 6-hour line block.
We are a product engineering company building AI and IoT systems that run on India's railway network — one of the largest and most complex in the world. Every line of code, every model we train, every sensor we deploy directly impacts the safety of millions of passengers.
This is not prototype work. This is production-grade AI on critical infrastructure.
Train and optimize models for anomaly detection, sensor signal processing, and predictive maintenance on real railway data.
Design and program edge devices that run in harsh outdoor environments — temperature extremes, vibration, connectivity constraints.
Build and validate sensor hardware for thermal imaging, vibration measurement, and power line monitoring.
Develop the cloud backend, web portal, and mobile app that operations teams rely on 24×7.
Send us your résumé and tell us what you'd love to work on.
Apply — mayurintron@gmail.comFor product inquiries, demos, or partnership discussions — reach out and our team will get back to you.
We're transforming railway infrastructure monitoring across India. Get in touch to learn how our AI sensor platform can reduce downtime, prevent derailments, and lower maintenance costs.
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