Capabilities
The technical ground under the products
DANA works across imagery, geography, and machine learning. These are the areas we build in.
Geospatial AI
- GeoAI model development
- Spatial analysis and modelling
- GIS intelligence and automation
- Automated spatial decision support
- Site validation and site selection
Computer vision
- Object detection and classification
- Segmentation and feature extraction
- Street-level and panoramic imagery analysis
- Multi-temporal change detection
- Quality and confidence estimation
Remote sensing
- Satellite imagery analysis
- Aerial and drone imagery analysis
- Multi-temporal and multi-source fusion
- Land cover and land use analysis
- Environmental and vegetation monitoring
Spatial systems
- Digital twins
- Urban intelligence
- Infrastructure intelligence
- Asset inventory and monitoring
- Integration with existing GIS and WebGIS platforms
Output principles
What every result has to be
A prediction that cannot be located, checked, or exported is not useful. Every DANA output meets these conditions.
01
Spatially referenced
Every result has geometry and a coordinate system. It goes on a map without translation.
02
Explainable
Each result reports the factors, evidence, or imagery that produced it.
03
Inspectable
An analyst can open any single result and see the source data behind it.
04
Measurable
Areas, counts, distances, and confidence come as numbers, not impressions.
05
Exportable
Results leave in standard GIS formats and enter your existing workflow.
06
Traceable
Every output stays linked to the imagery, layers, and model version it came from.