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AI-powered infrastructure asset management
Service

AI Spatial Asset Management & Automated Inspection.

We train machine learning models on geo-referenced spatial data to automate asset detection, condition scoring and predictive maintenance, with every model scored against manually inspected reference data and reviewed by an engineer before it becomes a deliverable. Our road condition models are aligned with methodologies required by authorities like the National Highways Authority of India (NHAI).

How we measure accuracy

Each model is scored against manually inspected reference data and, where we can, against LiDAR ground truth. Results are reported per defect class and per road condition, not as a single headline number, and every AI flag is confirmed by an engineer before it reaches a report or work order.

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.

01

Road Asset Inventory & Condition Scoring

Detection and segmentation models, combined with multimodal foundation models for roadside asset classification, work on geo-referenced road imagery and LiDAR data to find pavement defects, potholes, cracking, rutting, drainage failures. Output: a GIS-linked condition database with severity scoring for evidence-based maintenance budgeting. This capability is productised as GeoSurveyAI.

Pavement Condition IndexAuto-Detection MLGIS Asset RegistryMaintenance Prioritisation
02

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.

Pipeline DetectionManhole / Valve InventoryUAV + LiDAR InputPostGIS Output
03

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.

Time-Series ModellingDeterioration PredictionMaintenance SchedulingLifecycle Cost Reduction
04

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.

PostGIS DatabaseWeb GIS DashboardCustom ML TrainingDeployable Pipeline

Technical FAQ

Industrial Intelligence Standards.

Our ML models for infrastructure assessment align with national highway data standards and international spatial computing research.

Ready to make your infrastructure intelligent?

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