AI Asset Management.
We train machine learning models on geo-referenced spatial data to automate asset detection, condition scoring, and predictive maintenance — delivering AI-powered infrastructure intelligence at the scale of cities and networks.
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
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