
Deep learning applied to spatial data — for smarter roads, data-driven maintenance, and AI-powered municipal asset intelligence across Indian urban networks.
India's municipal authorities manage road networks that span hundreds of kilometers but rely on manual inspection methods that are slow, subjective, and expensive. GESIX's AI Asset Management platform changes this — using mobile LiDAR, high-resolution imagery, and deep learning to generate objective, geo-referenced condition assessments at network scale.
Our models are trained on Indian road conditions — distinguishing alligator cracking from water damage, classifying pothole severity, and detecting retroreflective failures in night-time road signs. Every output is audit-ready and GIS-mapped for seamless integration with your municipal systems.
>90%
Detection Accuracy
GIS
Native Output
AI
Indian Road Training
Automated PCI scoring and defect mapping across thousands of kilometers of road network using deep learning on mobile scan data.
AI-based detection, classification, and condition assessment of road signage for municipal compliance and replacement planning.
Geo-referenced inventory of streetlights, manholes, and surface-mounted utilities along road corridors.
Camera + AI pipeline for drain inlet classification and blockage risk scoring across urban drainage networks.
ML-based road deterioration models that forecast pavement life and optimize allocation of maintenance budgets.
Live-updating municipal asset dashboard with spatial query, report generation, and work order integration.
Tell us about your road network scope and we'll design a program.