Industry: Geospatial

Labeled data for a machine-readable world.

Satellite, aerial and street-level annotation for mapping, monitoring and geospatial AI — from building footprints to land-use classification.

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How we help

Data for geospatial AI

Satellite to street level — labeled for mapping, monitoring and spatial models.

Object Extraction

Buildings & roads
Vehicles & vessels
Infrastructure
Point & polygon labels

Segmentation

Land-use & land-cover
Vegetation & water
Semantic masks
Change detection

3D & LiDAR

Aerial point clouds
Elevation & surfaces
3D reconstruction labels
Sensor fusion

See LiDAR

Imagery Annotation

Satellite & aerial
Street-level scenes
Multi-resolution
Temporal series

Collection

Ground-truth capture
Field data
Consent & access
Region diversity

See collection

Validation

Gold-set QA
Coverage checks
Geo-accuracy review
Audit reports

See validation

Why Graveiens

Why teams choose Graveiens

Compliance-first delivery and a pay-on-approval model that de-risks every engagement.

Global coverage

Contributors across regions and terrains.

Geo-accurate QA

Validation tuned for spatial data.

Full pipeline

Collection, annotation and validation together.

Pay on approval

Invoiced only for approved deliverables.

FAQ

Questions, answered

Which imagery do you annotate?

Satellite, aerial and street-level imagery at multiple resolutions, plus aerial LiDAR.

Do you support change detection?

Yes — temporal series labeling and change detection across time.

Can you provide ground truth?

Yes — field and ground-truth capture to validate remote-sensing models.

How do we start?

A small paid pilot on a representative area of interest.

Map your world with better data

Send us a sample task. You only pay for deliverables you approve.

Book a pilot