940K+
Parcels AI-Classified
95%+
Model Accuracy
10x
Speed vs Manual
6
AI Models Deployed
Overview
What We Deliver in GeoAI & Machine Learning
TANGIS's GeoAI practice develops and deploys machine learning models optimised for geospatial workloads. From convolutional neural networks for satellite image segmentation to spatial regression models for site suitability analysis, our AI engineers work at the intersection of spatial data science and modern deep learning. We have deployed GeoAI systems for national land administration, mining hazard prediction, and agricultural yield forecasting programs across East Africa.
Industries Served
Challenges We Solve
Manual Analysis at Scale
Traditional GIS analysis cannot process the volume of imagery and data needed for national-scale programs within acceptable timelines.
Inconsistent Classification
Human analysts introduce subjectivity into classification tasks — AI delivers consistent, auditable results at scale.
Predictive Capability Gap
Organisations have rich spatial datasets but lack the AI expertise to build predictive models that anticipate future land use, infrastructure failure, or environmental change.
Real-time Processing
Decision-makers need near real-time analytical results, but traditional GIS batch processes cannot deliver the required speed.
Our Approach
How We Deliver GeoAI
Problem Framing & Data Assessment
We work with your domain experts to translate business problems into ML tasks, audit available training data, and define accuracy requirements and evaluation metrics.
Training Data Preparation
We label, clean, and augment training datasets — often combining field-verified ground truth with historical imagery and expert annotation.
Model Development & Training
We select and fine-tune appropriate architectures — typically CNNs for image tasks, XGBoost or Random Forest for structured spatial data — then train on your specific domain.
Validation & Accuracy Assessment
All models are validated against held-out test sets with statistical confidence reporting. We target user-specified accuracy thresholds before deployment.
Deployment & Integration
We deploy models as containerised APIs or batch processing pipelines, integrated with your GIS platform or data infrastructure for seamless operational use.
What You Receive
Technologies & Platforms
FAQ
Common Questions About GeoAI
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