AI-Powered Automation for Railway Inspections
AI-Powered Automation for Railway Inspections
Bringing intelligence to the tracks by automating inspections, predicting failures, and ensuring smoother, safer operations across railway networks.
Bringing intelligence to the tracks by automating inspections, predicting failures, and ensuring smoother, safer operations across railway networks.



Challenges
Challenges
What makes Railway Infrastructure challenging?
Prohibitive Costs & Slow Manual Surveys
Traditional inspections of massive rail networks take weeks and cost millions, relying on slow, manual methods that fail to provide the real-time ballast and asset data needed for modern maintenance.
Prohibitive Costs & Slow Manual Surveys
Traditional inspections of massive rail networks take weeks and cost millions, relying on slow, manual methods that fail to provide the real-time ballast and asset data needed for modern maintenance.
Prohibitive Costs & Slow Manual Surveys
Traditional inspections of massive rail networks take weeks and cost millions, relying on slow, manual methods that fail to provide the real-time ballast and asset data needed for modern maintenance.
The "Blind Zone" & Environmental Risks
In conditions like deep fog, visibility drops below 15 meters, rendering human drivers and standard 2D cameras ineffective at detecting track intrusions or foreign objects in time to react.
The "Blind Zone" & Environmental Risks
In conditions like deep fog, visibility drops below 15 meters, rendering human drivers and standard 2D cameras ineffective at detecting track intrusions or foreign objects in time to react.
Manual Detection
In conditions like deep fog, visibility drops below 15 meters, rendering human drivers and standard 2D cameras ineffective at detecting track intrusions or foreign objects in time to react.
Reactive Maintenance Models
Without real-time spatial data, operators are stuck with rigid, calendar-based schedules; this leads to missing alot of critical failures and increases the risk of severe infrastructure damage.
Reactive Maintenance Models
Without real-time spatial data, operators are stuck with rigid, calendar-based schedules; this leads to missing alot of critical failures and increases the risk of severe infrastructure damage.
Fragmented Site Data
Site information is trapped in disconnected formats. Progress is hidden across scattered PDFs , site photos, CSVs,PCDs and various other files that don't talk to each other.
Pioneering the Digital Railway Era
Pioneering the Digital Railway Era
Get insights into what matters along every kilometer of track
Why Us
Why Us
Kodifly’s Railway infrastructure solution automates trackside risk detection and corridor monitoring using LiDAR, camera fusion, and AI analytics. From obstacle detection to vegetation intrusion, our platform offers continuous, high-precision insights so railway authorities can respond faster and operate more safely.
Accurate & Fast Inspection
Automated LiDAR and camera-based scanning.
Accurate & Fast Inspection
Automated LiDAR and camera-based scanning.
Predictive Maintenance
AI-driven analytics detect issues before failures occur.
Predictive Maintenance
AI-driven analytics detect issues before failures occur.
Digital Twin Creation
Complete 3D visualization of the railway environment.
Digital Twin Creation
Complete 3D visualization of the railway environment.
Enhanced Safety
Real-time detection of hazards, intrusions, and clearance issues.
Enhanced Safety
Real-time detection of hazards, intrusions, and clearance issues.
Cost & Time Efficiency
Reduce inspection time & maintenance costs dramatically
Cost & Time Efficiency
Reduce inspection time & maintenance costs dramatically
Performance You Can Measure
Traditional inspection of 100 km of track can take up to 82,000 hours annually. Kodifly’s AI and digital twin solutions reduce that by over 90%, improving operational efficiency, safety, and visibility.
%
Less Work
Operational Efficiency
%
Lower
Cost of Inspection
%
Lower
Risk of Accident
AI-driven Railway Solutions
Enabling data-driven decisions that improve reliability, safety, and long-term asset performance. By combining advanced sensing with AI-powered analytics, it helps operators anticipate issues early, optimize maintenance, and maximize network efficiency.
Enabling data-driven decisions that improve reliability, safety, and long-term asset performance. By combining advanced sensing with AI-powered analytics, it helps operators anticipate issues early, optimize maintenance, and maximize network efficiency.
Foreign Object Detection
Foreign Object Detection
Foreign Object Detection
Monitors the track ahead in real-time using computer vision and LiDAR, detecting foreign objects, obstacles, and other potential hazards. It assists operators with timely alerts, improving safety and preventing collisions.
Real-time obstacle detection
Track intrusion alerts
Driver visibility enhancement
Event recording and reporting






Vegetation Management
Vegetation Management
Automatically detects overgrown areas, trees, or shrubs encroaching the track helping operators prevent accidents, ensure line-of-sight, and comply with safety regulations.
Automated vegetation
Encroachment detection
Risk-level categorization
Digital twin visualization of affected areas
Predictive growth analytics and maintenance planning
Clearance Management
Clearance Management
Analyzes LiDAR and video data to detect encroachments, measure tunnel and bridge clearances, and verify safe passage for rolling stock. Ideal for electrified lines, bridges, tunnels, and stations.
3D clearance measurement
Asset encroachment detection
Clearance Compliance verification
Integration with digital twin model
3D clearance measurement
Asset encroachment detection
Clearance Compliance verification
Integration with digital twin model
3D clearance measurement
Asset encroachment detection
Clearance Compliance verification
Integration with digital twin model



Railway Infrastructure Management Platform
Railway Infrastructure Management Platform
SpatialSense Rail
Kodifly’s SpatialSense Platform integrates LiDAR, imaging, and geospatial data to create a living, interactive model of your entire railway infrastructure. Operators can visualize conditions, analyze historical data, and make data-driven decisions on maintenance, safety, and performance, all from a single interface.
Discover features designed to simplify workflows, boost productivity, and improve team collaboration seamlessly.
Kodifly’s SpatialSense Platform integrates LiDAR, imaging, and geospatial data to create a living, interactive model of your entire railway infrastructure. Operators can visualize conditions, analyze historical data, and make data-driven decisions on maintenance, safety, and performance, all from a single interface.









Transform Railway Safety& Operations
Redefine rail operations with automation, precision, and data-driven insights.
Transform Railway Safety& Operations
Redefine rail operations with automation, precision, and data-driven insights.