
Railway networks consist of tracks, bridges, culverts, slopes, drainage systems, permafrost zones, and other assets that face aging infrastructure, harsh weather, remote access challenges, and ongoing operational stress.
Apollo RIMF brings together inspection data, remote sensing, environmental inputs, and AI-assisted analytics into a single autonomous workflow from data capture to reporting. This enables faster inspections, improved safety, and more informed maintenance decisions.

Smarter Railway Infrastructure Inspection enables


through optimized inspection workflows

by transforming real-time field data into actionable insights


through integrated inspection data and infrastructure analytics

Heat stress, deformation, and buckling risk
Speed restrictions and service disruption
Flooding, washouts, and hidden degradation
Limited access and inspection backlog

Flood, heat, cold, and wind impacts
Corridor-wide effects across multiple assets