Geospatial Training Data Annotated with the Geographic Precision Your Models Require.
Geospatial Training Data Annotated with the Geographic Precision Your Models Require.
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
Why Geospatial AI Sits At The Center of National Capability
Why Geospatial AI Sits At The Center of National Capability
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.
Coordinate systems and metadata that have to survive annotation
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.
Coordinate systems and metadata that have to survive annotation
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.
Geographic mismatch between training data and deployment terrain
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.
Sovereignty requirements international vendors cannot meet
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.
The Geospatial AI Operating Environment
The Geospatial AI Operating Environment
A few conditions that frame what geospatial AI teams, defense programs, and infrastructure authorities are working against in 2026.
CRS preserving by default
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.
CRS preserving by default
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.
Sovereign by design
Data residency configurable per jurisdiction, including in country processing for governments and security programs and on premises deployment for sensitive workloads.
Multimodal support
Coverage across optical satellite imagery, multispectral, drone and aerial photography, and LiDAR point clouds, with SAR and hyperspectral supported per project.
Africa as a structural advantage
Most geospatial training data reflects US, European, and East Asian geographies. We provide annotated imagery from African terrain, urban morphology, agricultural patterns, and infrastructure.
What We Deliver
What We Deliver
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.
Satellite and aerial imagery annotation
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.
Satellite and aerial imagery annotation
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.
LiDAR and 3D point cloud annotation
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.
GIS dataset preparation and ground truth development
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.
How We Deliver Geospatial Data at Production Grade
How We Deliver Geospatial Data at Production Grade
Every geospatial dataset moves through a six stage process designed to preserve geographic integrity end to end and meet production handoff standards.
Stage 1, scoping and geographic specification
Every project begins with a written specification covering target geography, resolution requirements, spectral bands, annotation taxonomy, IoU thresholds, deployment context, and export format.
Stage 1, scoping and geographic specification
Every project begins with a written specification covering target geography, resolution requirements, spectral bands, annotation taxonomy, IoU thresholds, deployment context, and export format.
Stage 2, sovereignty and residency design
For sensitive imagery, sovereign defense work, or critical infrastructure data, sovereignty design is finalized at scoping.
Stage 3, imagery ingestion and CRS validation
Source imagery is ingested with full CRS metadata preserved. CRS validation runs at ingestion and tile boundaries are managed to preserve georeferencing through export.
Stage 4, annotator calibration and multi reader work
Annotators run through calibration sets before live work begins. High stakes annotation runs through multi reader consensus with disagreements flagged for adjudication.
Stage 5, IoU reporting and geographic provenance
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.
Stage 6, production format export and delivery
Datasets are delivered in production geospatial formats including GeoJSON, GeoTIFF, Cloud Optimized GeoTIFF, STAC, and formats compatible with QGIS, ArcGIS, and Python geospatial libraries.
How We Deploy Geospatial AI
How We Deploy Geospatial AI
Sovereign defense and national security
AdwumaTech delivers annotated geospatial training data for sovereign defense, border and maritime monitoring, critical infrastructure surveillance, and force protection applications.
BEST FIT
Fit: national defense ministries, regional security programs, critical infrastructure authorities, border and maritime agencies.
Sovereign defense and national security
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.
Infrastructure monitoring and urban planning
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.
Precision agriculture and food systems intelligence
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.
Environmental monitoring and disaster response
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.
Logistics, mobility, and economic intelligence
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 contextWhat Makes AdwumaTech Different
What Makes AdwumaTech Different
Sovereignty as a baseline
Data residency and jurisdictional control are configured at scoping. Air gapped environments, in country processing, and on premises deployment are supported where required.
Sovereignty as a baseline
Data residency and jurisdictional control are configured at scoping. Air gapped environments, in country processing, and on premises deployment are supported where required.
CRS and metadata preserving workflows
Our workflows preserve Coordinate Reference System information end to end, with exports in production geospatial formats compatible with your existing pipeline.
Geographic depth in African terrain and settlement patterns
We provide annotated imagery from African terrain, agricultural systems, urban morphology, and infrastructure as a structural capability that closes deployment gaps.
Production grade quality control
IoU thresholds, IRR metrics, calibration sets, and multi reader consensus protocols are built into every engagement and reported per batch.
Security, Governance, and Compliance
Security, Governance, and Compliance
Information security
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.
Information security
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 sovereignty and residency
Data residency is configurable per jurisdiction, including in country residency, on premises deployment, air gapped environments, and hybrid models.
Regulatory and operational alignment
We support clients across GDPR, the Ghana Data Protection Act 2012, and relevant national data governance directives.
Who we work with
Sovereign defense and security authorities, geospatial AI vendors, infrastructure and urban planning teams, agricultural and environmental programs, humanitarian programs, enterprises, and research institutions.
Common Questions
Common Questions
See where the gap is in your geospatial training data
See where the gap is in your geospatial training data
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.