AI Spatial Asset Management & Automated Inspection.
We train machine learning models on geo-referenced spatial data to automate asset detection with up to 95% accuracy, condition scoring, and predictive maintenance — delivering AI-powered infrastructure intelligence at scale while reducing inspection cycle times by 40%. Our road condition models are aligned with methodologies required by authorities like the National Highways Authority of India (NHAI).
"The shift from reactive to predictive maintenance using our AI models can save municipalities up to 30% in lifecycle asset costs while completely eliminating subjective manual grading errors."
— Lead Spatial Data Scientist, Gesix Solutions
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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