Deploy geospatial agents with Foursquare Spatial H3 Hub and Amazon SageMaker AI

Organizations have used geospatial machine learning (ML) for property risk assessment, disaster response, and infrastructure planning. These systems worked well but couldn’t scale beyond specialized use cases. Each question required multiple geospatial datasets, each with its own model and often its own workflow, limiting these capabilities to a handful of high-value use cases at the largest enterprises that could afford the investment. In this post, you’ll learn how to deploy geospatial AI agents that can answer complex spatial questions in minutes instead of months. By combining Foursquare Spatial H3 Hub’s analysis-ready geospatial data with reasoning models deployed on Amazon SageMaker AI, you can build agents that enable nontechnical domain experts to perform sophisticated spatial analysis through natural language queries—without requiring geographic information system (GIS) expertise or custom data engineering pipelines.

Geospatial intelligence adoption barriers

Two technical barriers have prevented these specialized geospatial systems from achieving broader ...