////// 05 — AI & GEOSPATIAL ANALYTICS

AI and geospatial analytics

Instead of reviewing thousands of images by hand, we use AI models to count and classify objects and detect change automatically. The principle is simple: AI turns data into insight.

What’s included

  • AI-assisted image analysis
  • Object detection
  • Building detection
  • Road extraction
  • Vehicle detection
  • Tree detection
  • Land cover classification
  • Building segmentation
  • Change analysis
  • Automated damage detection
  • Point cloud AI
  • Image classification
  • Agricultural AI
  • Solar panel analysis
  • Thermal anomaly detection
  • Automated reporting
  • Predictive spatial analytics

Data → AI → insight

Orthomosaics, point clouds and thermal imagery run through AI models to produce georeferenced feature layers, counts and classification maps you can query directly in GIS.

Validation

Automated results are manually checked in sample areas and an accuracy rate is reported. For critical decisions, AI output speeds up expert review — it doesn’t replace it.

Repeatable analysis

The same model runs with the same criteria every period, so differences between surveys reflect real change on the ground, not a change in method.

Deliverables from this service

Industries we serve with it

FAQs

What can the AI detect?

Features that stand out in the imagery — buildings, roads, vehicles, trees, solar panels, stockpiles. For project-specific objects, the model is trained on sample data.

How reliable are the results?

Accuracy depends on image resolution, object type and training data. Every delivery states the accuracy rate measured in control areas.

How is it used for damage assessment?

Pre- and post-event imagery is compared and damaged buildings are flagged automatically, then confirmed by expert review.

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