Satellite, aerial, and drone imagery annotation for geospatial AI. Credentialed annotation, coordinate system preservation, and structural access to African geographies underrepresented in global training data. Built for sovereign defense and security programs, infrastructure monitoring, precision agriculture, environmental monitoring, and enterprises building geospatial models for diverse terrain.
ISO 27001 Certified · GDPR Aligned · Ghana Data Protection Act 2012 · CRS Preserving Workflows
Geospatial AI anchors decisions across defense and security, critical infrastructure, agricultural intelligence, environmental monitoring, and economic strategy. Satellite, aerial, and drone imagery flow into national programs and enterprise systems at a volume that no human team can interpret unaided.
CRS metadata has to survive end to end. Spectral bands beyond visible spectrum have to be interpreted by people who understand them. Annotation has to preserve geographic integrity so model output projects back to real coordinates.
Models trained on imagery from one region perform worse when deployed to another. African terrain, settlement patterns, agricultural systems, and infrastructure are systematically underrepresented in public geospatial training datasets.
Sensitive geospatial work for sovereign defense, critical infrastructure, or border and maritime monitoring requires data residency and jurisdictional control that international vendors often cannot offer.
A few conditions that frame what geospatial AI teams, defense programs, and infrastructure authorities are working against in 2026.
Annotation workflows preserve Coordinate Reference System metadata end to end, with exports in GeoJSON, GeoTIFF, and Cloud Optimized GeoTIFF formats compatible with QGIS, ArcGIS, and standard tooling.
Data residency configurable per jurisdiction, including in country processing for governments and security programs and on premises deployment for sensitive workloads.
Coverage across optical satellite imagery, multispectral, drone and aerial photography, and LiDAR point clouds, with SAR and hyperspectral supported per project.
Most geospatial training data reflects US, European, and East Asian geographies. We provide annotated imagery from African terrain, urban morphology, agricultural patterns, and infrastructure.
Three service layers for geospatial AI training data, supported by credentialed annotation, CRS preserving workflows, and documentation built for production handoff to your existing geospatial pipeline.
Annotated training datasets across optical satellite imagery, multispectral imagery, aerial photography, and drone imagery. Coverage spans land cover segmentation, oriented bounding boxes, building footprints, road and parcel boundary tracing, and change detection.
Exports include GeoJSON, GeoTIFF, Cloud Optimized GeoTIFF, and STAC. Quality protocols include calibration sets, multi reader consensus, IoU reporting per class, and inter rater reliability thresholds.
Point cloud classification, 3D bounding box annotation, and segmentation for LiDAR data captured from aerial platforms, terrestrial sensors, and mobile mapping systems.
Use cases span topographic mapping, urban infrastructure modeling, vegetation analysis, flood and erosion monitoring, and 3D reconstruction.
Custom geospatial dataset development with the geographic, temporal, and spectral structure your model requires. Prospective imagery acquisition, ground truth validation from field data, and dataset preparation aligned to deployment.
Operations rooted in West Africa give us a structural pathway to African geographies underrepresented in global datasets.
Every geospatial dataset moves through a six stage process designed to preserve geographic integrity end to end and meet production handoff standards.
Every project begins with a written specification covering target geography, resolution requirements, spectral bands, annotation taxonomy, IoU thresholds, deployment context, and export format.
For sensitive imagery, sovereign defense work, or critical infrastructure data, sovereignty design is finalized at scoping.
Source imagery is ingested with full CRS metadata preserved. CRS validation runs at ingestion and tile boundaries are managed to preserve georeferencing through export.
Annotators run through calibration sets before live work begins. High stakes annotation runs through multi reader consensus with disagreements flagged for adjudication.
Every batch ships with IoU metrics per class, IRR scores, confusion matrices where applicable, and full geographic provenance including source imagery, capture date, sensor type, resolution, and CRS.
Datasets are delivered in production geospatial formats including GeoJSON, GeoTIFF, Cloud Optimized GeoTIFF, STAC, and formats compatible with QGIS, ArcGIS, and Python geospatial libraries.
AdwumaTech delivers annotated geospatial training data for sovereign defense, border and maritime monitoring, critical infrastructure surveillance, and force protection applications.
Fit: national defense ministries, regional security programs, critical infrastructure authorities, border and maritime agencies.
We deliver annotated satellite, aerial, and drone imagery across urban and infrastructure geographies, with ground truth validation where required.
Fit: urban planning platforms, infrastructure monitoring vendors, telecom and energy programs, smart city initiatives.
AdwumaTech delivers annotated imagery across agricultural geographies, including smallholder field patterns, intercropping, and seasonal cycles common across African and tropical systems.
Fit: precision agriculture platforms, agricultural insurance, food security programs, agritech vendors.
We deliver annotated imagery for environmental change detection, flood zone mapping, vegetation health analysis, and post disaster damage assessment.
Fit: environmental monitoring platforms, climate adaptation programs, humanitarian response organizations.
AdwumaTech delivers ground truth annotation for road network completion, address resolution support, infrastructure mapping, and commercial activity detection in geographies where map data is thin or stale.
Fit: logistics platforms, mobility vendors, e-commerce last mile operations, fleet management systems.
Explore regional data contextData residency and jurisdictional control are configured at scoping. Air gapped environments, in country processing, and on premises deployment are supported where required.
Our workflows preserve Coordinate Reference System information end to end, with exports in production geospatial formats compatible with your existing pipeline.
We provide annotated imagery from African terrain, agricultural systems, urban morphology, and infrastructure as a structural capability that closes deployment gaps.
IoU thresholds, IRR metrics, calibration sets, and multi reader consensus protocols are built into every engagement and reported per batch.
Encryption at rest and in transit using AES 256 and TLS 1.3. Role based access control. Comprehensive audit logging. ISO 27001 certified information security management system.
Data residency is configurable per jurisdiction, including in country residency, on premises deployment, air gapped environments, and hybrid models.
We support clients across GDPR, the Ghana Data Protection Act 2012, and relevant national data governance directives.
Sovereign defense and security authorities, geospatial AI vendors, infrastructure and urban planning teams, agricultural and environmental programs, humanitarian programs, enterprises, and research institutions.
We deliver CRS preserving workflows, production grade quality control with IoU and inter rater reliability built in, sovereignty options configured at scoping for sensitive engagements, and structural geographic coverage across African terrain. We work with clients globally.
Yes, for engagements operating under African or allied sovereignty. Sovereignty design is finalized at scoping, with in country processing, air gapped environments, and on premises deployment available where the engagement requires it.
Native support for optical satellite imagery, multispectral imagery, aerial photography, drone imagery, and LiDAR point clouds. SAR and hyperspectral are supported on a per project basis. Outputs include GeoJSON, GeoTIFF, Cloud Optimized GeoTIFF, STAC, and standard formats compatible with QGIS, ArcGIS, and Python geospatial libraries.
CRS information is preserved at ingestion, maintained through annotation, and exported with full georeferencing intact. Tile boundary handling preserves spatial relationships, and exports are validated for CRS integrity before delivery.
IoU thresholds are set per project against production deployment requirements. Standard reporting includes IoU per class, Cohen's kappa for classification labels, Dice or Jaccard scores for segmentation, per class confusion matrices, and per reader performance.
AdwumaTech holds ISO 27001 certification covering our information security management system. We align with GDPR for European data flows and the Ghana Data Protection Act 2012 for in country data. Handling protocols and operational security posture are confirmed during scoping.
We deliver geospatial annotation for clients globally, with structural strength in African coverage underrepresented in global datasets. Standard pilot structure runs 4 to 8 weeks against a defined sample, with measured IoU and inter rater reliability benchmarks reported at completion.
Book a call. We walk through where your current training data, annotation pipeline, or model evaluation may be underperforming on the geographies, modalities, or sovereignty requirements your AI needs to handle. If the fit is there, we run a live demo on the same call against sample geospatial data from your target region.
