A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Satellite to street level — labeled for mapping, monitoring and spatial models.
Geospatial models turn pixels and point clouds into decisions about land, infrastructure and change over time. Graveiens AI annotates satellite, aerial and drone imagery, LiDAR and map data so your detection, segmentation and change-analysis models train on accurate, consistent labels.
From building footprints and road networks to crop boundaries and disaster damage, we adapt tooling to your classes and resolution, and review every deliverable through our four-stage quality workflow.
Talk to our geospatial data teamImagery, LiDAR and map annotation for earth-observation AI.
Bounding boxes, polygons and semantic segmentation on satellite, aerial and drone imagery.
Point-cloud labelling for elevation, structures and terrain models.
Multi-temporal labelling to train models on construction, deforestation and disaster impact.
Road, building and land-use vectorisation for mapping and planning models.
Representative programmes our geospatial data services support.
Footprint, road and asset extraction for planning and monitoring.
Field, crop and canopy labelling for yield and land-cover models.
Damage and flood mapping to accelerate response models.
Earth-observation projects mean millions of tiles and strict class consistency. We maintain detailed guidelines, gold-standard checks and expert review so labels stay consistent across large datasets and multiple annotators. You approve deliverables before invoicing, keeping a first geospatial pilot low-risk.
Start a geospatial pilotHow our geospatial and satellite imagery annotation compares with other providers on coverage, sensors and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Geospatial annotation — satellite, aerial and street-level imagery | Satellite, aerial, street-level, 3D | Four-stage QA vs a gold standard, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | Satellite and aerial imagery annotation | Satellite, aerial, image | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | Geospatial mapping and imagery data | Satellite, aerial, image | Human-in-the-loop QA | Managed teams |
| Shaip | Imagery and mapping data | Satellite, image | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Remote-sensing data operations | Satellite, aerial, 3D | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Geospatial imagery annotation | Satellite, aerial, image | SamaAssure QA | Managed workforce |
| Surge AI | Multimodal data for LLMs | Text, image, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
Contributors across regions and terrains.
Validation tuned for spatial data.
Collection, annotation and validation together.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot