التقنية·Technology

Built on precision.
Validated at scale.

Five specialized AI model families. Six satellite data sources. A processing pipeline that takes raw imagery from acquisition to actionable output in under 40 milliseconds.

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AI model library

Five model families, continuously fine-tuned on regional data.

Object Detection

94.2% accuracy
Input
Optical 0.3–2m
Output
GeoJSON polygons + confidence scores

Vehicles, structures, vessels, aircraft, and custom object classes.

Change Detection

97.1% accuracy
Input
Multi-temporal optical/SAR
Output
Change masks + delta classification

Urban expansion, deforestation, construction, flood extent, vegetation loss.

NDVI / Spectral Index

±3% accuracy
Input
Multispectral (4+ bands)
Output
Raster indices + field-level stats

NDVI, NDWI, NDBI, EVI, SAVI — computed at pixel level with temporal trending.

SAR Processing

91.8% accuracy
Input
Sentinel-1 / COSMO-SkyMed
Output
Coherence maps + subsidence rasters

All-weather, day/night. InSAR subsidence, flood mapping, soil moisture.

3D Reconstruction

±0.15m accuracy
Input
Stereo optical / LiDAR
Output
DSM, DTM, 3D point cloud

Building footprints, tree canopy height, terrain profiles, volumetric analysis.

Satellite data sources

Commercial and open-access constellations, all preprocessed and analysis-ready.

Sentinel-2

Open
Resolution10m
Revisit5 days
TypeOptical multispectral

WorldView-3/4

Resolution0.31m
RevisitOn-demand
TypeVery-high-res optical

PlanetScope

Resolution3m
RevisitDaily
TypeOptical RGB+NIR

Sentinel-1

Open
Resolution10m
Revisit12 days
TypeSAR C-band

COSMO-SkyMed

Resolution0.5m
RevisitOn-demand
TypeSAR X-band

Aerial / Drone

ResolutionCustom
RevisitOn-demand
TypeRGB / multispectral / LiDAR

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Our solution engineering team can walk through model accuracy benchmarks, API specifications, and architecture diagrams specific to your use case.

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