Geodat AI builds geospatial data platforms, spatial analytics systems, and cloud-native infrastructure for decision support, research, and policy analysis.
We develop scalable spatial data infrastructure, reproducible analytics workflows, and AI-enabled geospatial applications across sectors including the built and natural environment, public policy, business intelligence, health, and transport.
Our work focuses on:
- digital cartography
- geospatial analytics and modelling
- public transport accessibility and mobility analysis
- spatial data infrastructure
- AI-assisted geospatial data processing
- interactive web mapping and spatial applications
The Geodat AI platform is built around:
- containerised services
- cloud infrastructure on Microsoft Azure
- geospatial databases using PostgreSQL and PostGIS
- data science workflows in R and Python
- APIs and microservices written in Go and Python
- Go
- Python
- R
- PostgreSQL / PostGIS
- Docker containers
- Azure Container Apps
- Azure AI Services
The Geodat AI engineering platform is managed through this GitHub organisation.
Website: https://www.geodat.ai
