
AI Spatial Asset Management & Automated Inspection.
We train machine learning models on geo-referenced spatial data to automate asset detection with 85–95% accuracy on trained defect classes, condition scoring, and predictive maintenance — delivering validated infrastructure intelligence at scale. Our road condition models are aligned with methodologies required by authorities like the National Highways Authority of India (NHAI).
“In our 2024 validation on 120 km of NHAI-class roads, automated PCI scoring reduced manual grading variance by 82% and cut inspection cycle time by 38% across 1,200 surveyed images.”
Validated at 85–92% F1 on trained defect classes. Results vary with imagery quality and road type.
What We Do
From automated road condition scoring and utility asset inventories to predictive maintenance models and custom ML deployments — our AI capability turns spatial survey data into actionable infrastructure intelligence.
Road Asset Inventory & Condition Scoring
ML models trained on geo-referenced road imagery and LiDAR data automatically detect pavement defects — potholes, cracking, rutting, drainage failures. Output: a GIS-linked condition database with severity scoring for evidence-based maintenance budgeting.
Utility & Pipeline Asset Management
Detection and inventory of water mains, sewer networks, stormwater drains, and utility nodes from UAV imagery and LiDAR point clouds. Delivered as structured PostGIS databases with spatial coordinates, attribute data, and condition flags.
Predictive Maintenance Models
Time-series ML models built from historical condition data and spatial asset attributes that predict deterioration rates and generate forward-looking maintenance schedules — shifting owners from reactive to predictive maintenance.
Municipal Asset Registries & Custom ML
Structured GIS asset registries covering all municipal infrastructure classes, delivered as a live PostGIS database and web GIS dashboard. We also train client-specific detection models for encroachment, structural damage, or vegetation classification on power lines.
Technical FAQ
Industrial Intelligence Standards.
Our ML models for infrastructure assessment align with national highway data standards and international spatial computing research.
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