Geo AI
Spatial intelligence platform for geoscience. Ask natural language questions about climate, geology, and Earth systems — with real-time data visualized on interactive maps.
Overview
QAI Geo AI combines large language models with real-time Earth observation data. It enables researchers, analysts, students, and AI agents to query geographic and environmental data using natural language.
Results are visualized as interactive map layers with customizable markers, and can be stacked to build comprehensive spatial analyses. The platform includes 9 built-in real-time monitoring layers, planetary trend charts from authoritative scientific sources, AI-generated reports, and collaboration tools.
How queries work
Every question creates a persistent chat session. The AI maintains context across messages, so you can refine your analysis with follow-up questions.
- Ask a question — type a natural language query about any location or Earth science topic.
- AI responds — the response streams in real time with source citations from authoritative data.
- Locations extracted — the AI automatically extracts locations, geocodes them, and places markers on the map.
- Data layer created — a toggleable data layer is saved to your chat so you can revisit or combine it with other layers.
Chat features
| Feature | Description |
|---|---|
| Multi-turn context | AI remembers previous messages within a session (up to 20 messages of context). |
| Regeneration | Regenerate any assistant message. Each version is saved with its own data layer. |
| Source citations | Responses include citations linked to authoritative sources like NASA, NOAA, and scientific institutions. |
| Chat history | All conversations are saved and searchable from the sidebar. |
| Suggested topics | New chats show rotating topic suggestions across categories like mining, energy, climate, and technology. |
Map views
Four map themes are available. Switch between them at any time from the settings panel.
| Theme | Best for |
|---|---|
| Standard | Urban analysis, infrastructure, general navigation. |
| Satellite | Land use, vegetation, terrain features, remote areas. |
| Terrain | Geological analysis, elevation contours, hillshading. |
| 3D Earth | Global-scale visualization, satellite tracking. WebGL rendering with rotation and orbit controls. |
Data layers
Every query result creates a data layer with location markers on the map. Layers can be toggled, stacked, renamed, restyled, or deleted.
Marker customization
- Colors — preset palette or custom color per layer.
- Shapes — circle, square, diamond, triangle, star, hexagon.
- Sizes — icon sizes 8–48px, shape sizes 20–80px.
System data layers
Nine built-in monitoring layers provide continuously updated geospatial data from authoritative sources. Each layer returns real-time marker locations with coordinates, data values, and descriptions.
| Layer | Description | Freshness |
|---|---|---|
| Alerts | Live forecasts, warnings, and extreme weather events | Live |
| Standard | Observation baseline with recent environmental conditions | Recent |
| Thermal | Global heat mapping and temperature anomalies | Live |
| Atmospheric | Air quality, gas dynamics, and pollution monitoring | Live |
| Hydrological | Oceanic flux, water events, and flood monitoring | Recent |
| Cryosphere | Glacial extent, ice sheet conditions, and polar data | Archive |
| Biosphere | Vegetation health, deforestation, and ecosystem tracking | Recent |
| Starlink | Real-time satellite constellation position tracking | Live |
| Orbit Debris | ESA-sourced space debris tracking and collision risk | Live |
Trend charts
Track historical trends for key Earth metrics with data spanning from 1980 to the present. All data is sourced from authoritative scientific institutions.
| Metric | Unit | Source |
|---|---|---|
| Surface Temperature | °C Anomaly | NASA GISTEMP |
| Atmospheric CO₂ | ppm | NOAA GML |
| Methane Levels | ppb | NOAA GML |
| Global Sea Level | mm Rise | NASA Sea Level |
| Ocean Heat Content | 10²² Joules | NOAA NCEI |
| Glacial Mass Balance | m w.e. | WGMS |
| Global Forest Cover | % Index | Global Forest Watch |
Reports
Generate comprehensive reports from your analysis sessions. Reports synthesize your queries, the AI responses, and the data layers into a structured document that can be exported as PDF.
Each report includes:
- Executive summary
- Key findings
- Detailed analysis
- Location analysis
- Methodology
- Recommendations
- Conclusion
- Map screenshot
Report types: business, research, environmental, infrastructure, resources, tourism, and general.
Sharing
Share your analyses, data layers, and reports with public links or within your organization. Set view or edit permissions and optional expiration dates.
- Public link — anyone with the link can view.
- Organization — shared with all members of your org.
- User — shared with a specific user.
FAQ
What kind of questions can I ask?
You can ask about locations and infrastructure, earth science topics like climate and geology, geographic analysis including demographics and urban planning, natural resources such as mining and energy, and anything that can be visualized on a map.
What data sources does Geo AI use?
Geo AI uses Google Search grounding for real-time information, combined with data from NASA GISTEMP, NOAA Global Monitoring Laboratory, ESA Space Debris Office, World Glacier Monitoring Service, and other authoritative scientific sources.
Can I export my analysis?
Yes. You can export location data as CSV files, generate AI-powered PDF reports, and share interactive analyses via public links or within your organization.
Is there an API?
Geo AI is built on a REST architecture with endpoints for AI queries, chat management, data layer operations, report generation, and sharing. Public API key access is on our roadmap.