Reference benchmarks for agentic AI models in geospatial data processing. Developed based on nearly 30 years of experience in spatial analysis – transparent, reproducible, and practical.
These benchmarks evaluate agentic capabilities of AI models in solving complex spatial problems. They run on the Enterprise edition of our Spatial Agents – the full MCP server stack with QGIS, GRASS GIS, OpenStreetMap, and Planetary Computer. This makes them a practical reference standard for agentic work with GIS tools and geodata. The portfolio is continuously expanded with new models and task scenarios.
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