Bridges AI models with 24 years of Global Forest Watch data across 165+ countries, enabling natural language queries for deforestation and carbon emission insights.
Enables AI agents to query Earth observation data, satellite imagery, active fires, and weather via natural language, returning interactive maps and briefs.
Production-ready satellite imagery analysis server that enables natural language queries for Earth observation data, including land cover classification, vegetation monitoring, water detection, change detection, and automated environmental reporting.
Enables AI assistants to assess any parcel for micro-farm viability (climate, water, farmland context, access, flood risk) and dwelling feasibility, and to find real land for sale from free, keyless public data sources.
Provides sovereign geospatial awareness by wrapping open, non-US-dependent geospatial APIs for AI-agent situational awareness, environmental compliance, and disaster response.
Enables natural-language spatial analysis of transmission lines and wildlife/public access lands using Claude, MCP, and DuckDB. Users can ask questions about intersections, distances, buffers, and other GIS operations without writing SQL.