
Where our capabilities transcend traditional geospatial services — harnessing AI, GeoAI and Digital Twin technologies to create living, intelligent models that predict what happens next.
7 specialized services delivered by a Saudi team with more than 25 years of combined technical expertise for government, semi-government and major national projects.
Dynamic, data-rich digital replicas of cities, infrastructure networks and assets — integrating survey data, LiDAR, BIM and real-time sensor feeds into one intelligent platform.
Digital Twin
AI-driven urban modeling and generative design evaluating multiple development scenarios — optimizing land use, mobility, density and public space toward Vision 2030 goals.
Generative Design
Spatial modeling and predictive analytics for climate risk, flood simulation, heat-island mapping and environmental change monitoring — enabling resilient infrastructure.
Climate · Flood Modeling
Machine and deep learning applied to geospatial data for automated feature extraction, change detection, anomaly identification and pattern recognition across imagery, LiDAR and GPR.
GeoAI · Deep Learning
AI-powered models for infrastructure condition monitoring, maintenance forecasting and risk early warning — reducing operational costs and preventing failures before they occur.
Predictive Analytics
Interactive, real-time geospatial dashboards and command-and-control platforms consolidating multi-source data into a single operational view for faster, evidence-based decisions.
Command & Control
Continuous AI-driven monitoring of roads, utilities and urban facilities — using drone data, satellite imagery and sensor integration to track condition, detect anomalies and trigger maintenance workflows automatically.
Smart Monitoring
Clips from projects delivered by the Precision Geomatics team across the Kingdom.
Talk to the Precision Geomatics team and we will recommend the most suitable methodology and technology for your project.

A Saudi expert house in surveying, geophysics, GIS and Digital Twin — turning spatial data into actionable decisions since 2017.