GeoAI platform engineering
Enterprise and open-source GIS platforms, spatial data pipelines and Web GIS applications engineered end to end.
Conceptual visualization only
Overview
We design and build the spatial layer of your platform: data ingestion and projection handling, PostGIS schemas, tiled and OGC map services, and browser map clients that stay fast with large datasets. Agent workflows sit on top of that platform so spatial analysis is repeatable and auditable rather than a one-off desktop exercise.
Problems it solves
- • Spatial data scattered across shapefiles, spreadsheets and desktop projects
- • No repeatable pipeline from raw imagery or GeoJSON to a published map service
- • Map applications that break on large layers or inconsistent projections
- • Spatial analysis that cannot be reviewed, reproduced or audited
Who it suits
- • GIS and remote-sensing teams
- • Utilities, government and infrastructure operators
- • Engineering consultancies delivering spatial reporting
What this capability does
- • Web GIS application development
- • Spatial data pipelines (vector and raster)
- • GeoJSON validation, cleaning and processing
- • Map service publishing (OGC, tiles, feature services)
- • Spatial database design and integration
- • Coordinate reference system and geometry repair
How This AI Agent Works
The delivery process for geoai platform engineering: trigger, validation, approved tooling, human approval and the deliverable produced.
GeoAI platform workflow
From a spatial requirement to a published, monitored map service.
Saved with the run so the recorded execution trail shows what was asked. Demonstration runs use sample data. They do not touch your systems.
Public visitors can preview the structure and inspect every node. Labelled demonstrations and live runs require a signed-in account with configured providers.
Workflow summary as a text list
- 1. Spatial requirement: Trigger. Area, layers, accuracy and audience.
- 2. Data and CRS validation: Validation. Check geometry validity, projection and completeness.
- 3. Spatial processing: Approved tool. Run the geoprocessing chain on the spatial service.
- 4. Map service: Action. Publish tiles or feature services for the results.
- 5. Web GIS application: Action. Wire the layers into the workspace map application.
- 6. Testing: Validation. Verify rendering, performance and layer accuracy.
- 7. Publish approval: Human approval. An owner approves before the service is exposed. Human approval required.
- 8. Monitor: Monitoring. Track service health, tile latency and usage.
- 9. Map service and application: Output. Published layers, application and method note.
Approval gate: Publish approval. Deliverable: Map.
Workflow audit for this page
| Template ID | Nodes | Approval node | Output type | Preview | Demo | Live | Mobile test |
|---|---|---|---|---|---|---|---|
| geoai-platform-engineering | 9 | Yes. Policy: always | Map | Available | Available (signed in) | Available via Studio · requires ai_provider, python_service | Not yet covered |
Demonstration runs are stored and replayed from recorded events. Live runs execute server-side in the Studio and only start when the listed integrations report healthy.
Supported industries
- Government
- Utilities
- Disaster management
- Agriculture
- Mining
- Smart cities
Technology stack
Every supported technology for this capability.
- ArcGIS Pro
- ArcGIS Enterprise
- ArcGIS Online
- QGIS
- GeoServer
- PostGIS
- MapLibre
- Leaflet
- OpenLayers
- GeoPandas
- GDAL
- Rasterio
- Shapely
- PyProj
- STAC
Specialist AI agents
GIS analysis agent
Spatial analysis, buffers, overlays and statistics
Open agent profileGeoAI agent
Imagery classification and change detection
Profile not published — this role runs inside the capability workflow.
Earth observation agent
Satellite scene search and preparation
Profile not published — this role runs inside the capability workflow.
Spatial data engineer agent
Pipeline and PostGIS schema work
Profile not published — this role runs inside the capability workflow.
Workflow
Every run follows the same auditable spine.
- Step 1
Request
You describe the objective, constraints and delivery format.
- Step 2
Validate inputs
Geometry validity, CRS and attribute schema are checked before processing.
- Step 3
Assign agent
The registry resolves the specialist agent and its permitted tools server-side.
- Step 4
Use approved tools
Only tools allowed for that agent and your plan can execute.
- Step 5
Process data
Buffers, overlays, zonal statistics or imagery analysis run against your layers.
- Step 6
Validate output
Results are checked against the expected schema and quality rules.
- Step 7
Human review if required
Sensitive outputs are withheld until an approver releases them.
- Step 8
Deliver result
GeoJSON, tables, charts and map views are released to the workspace.
Inputs and outputs
What you provide
- • GeoJSON, shapefile or GeoPackage vector layers
- • Raster imagery or a STAC collection reference
- • PostGIS connection details, when integrating an existing database
- • Analysis parameters (buffer distances, classes, thresholds)
What you receive
- • Processed GeoJSON and attribute tables
- • Map views with layer legends and symbology
- • Zonal and summary statistics with charts
- • Run audit log and export bundle
Use cases
- Flood exposure mapping for a municipal risk register
- Utility network asset viewer with attribute search and export
- Crop and land-cover monitoring dashboard from satellite imagery
- Site suitability screening across multiple constraint layers
Integration status
Real configuration states recorded by health checks — nothing here is assumed to be connected.
- Spatial processor (hosted Python service)Sign in to view status
Your FastAPI service: GeoPandas, GDAL, Rasterio and IfcOpenShell work runs there, not in this app.
- GeoAgentSign in to view status
Geospatial reasoning toolchain, reported by the Python service.
- Earth EngineSign in to view status
Satellite imagery and time-series analysis, reported by the Python service.
- STAC catalogueSign in to view status
Imagery discovery via a STAC API, reported by the Python service.
- ArcGISSign in to view status
Esri feature services and geoprocessing, reported by the Python service.