The modular, self-hosted platform for geospatial data storage, management, processing, analysis & visualization — all supercharged with AI.
A complete, modular platform designed for organizations that need full control over their geospatial data pipeline.
Enterprise-grade spatial database optimized for vector, raster, point cloud, and temporal geospatial data at any scale.
Built-in ML pipelines for object detection, change analysis, land classification, and anomaly detection on satellite imagery.
Render millions of features in real-time with WebGL-powered maps, 3D terrain views, and customizable dashboards.
STAC-compliant catalog with versioning, metadata management, access controls, and automated data quality validation.
Automated workflows for ingestion, transformation, reprojection, tiling, and batch processing of geospatial datasets.
Deploy on your own infrastructure. Full data sovereignty with SSO integration, audit logs, and encryption at rest.
Every component is an independent, pluggable module. Deploy the full stack or just the pieces your organization requires.
EarthIQ Core
Spatial database engine
ETL pipeline engine
ML inference service
Map visualization
Analytics dashboard
Real-time data feeds
STAC metadata catalog
Auth & access control
Vector & raster tiles
REST & GraphQL gateway
Multi-node replication
BI reports & analytics
A layered, microservices architecture that scales from a single Docker Compose to a full Kubernetes cluster.
Automated pipelines for data ingestion, format conversion, reprojection, validation & indexing
Monitor urban sprawl, optimize transportation networks, and plan infrastructure with AI-powered spatial analysis.
Analyze crop health with NDVI, predict yields, detect irrigation issues, and optimize farming operations with satellite data.
Track deforestation, monitor water bodies, analyze air quality patterns, and model climate change impacts at scale.
Get your geospatial intelligence platform running with a single command. Docker Compose for development, Helm charts for production Kubernetes deployments.
Pull the latest release from GitHub
Select which modules to enable in the config file
One command to spin up the entire stack
version: '3.9' services: geostore: image: earthiq/geostore:latest ports: ["5432:5432"] volumes: - geo_data:/var/lib/postgresql geoflow: image: earthiq/geoflow:latest ports: ["8080:8080"] depends_on: [geostore] geoai: image: earthiq/geoai:latest ports: ["9090:9090"] deploy: resources: reservations: devices: - driver: nvidia geoview: image: earthiq/geoview:latest ports: ["3000:3000"]
EarthIQ is released under the MIT License. Deploy it on your infrastructure, modify it to your needs, and contribute back to the community. Your data stays yours.