This talk introduces the use of Uber’s Hexagonal Hierarchical Spatial Index (H3) with Elasticsearch to aggregate and query millions of point-locations on-the-fly. In contrast to administrative boundaries, H3 offers a globally uniform polygon-set that works at multiple spatial scales. Using an example from the Insurance sector the talk will demonstrate how an H3 Index can be used with Elasticsearch to filter, aggregate, and map large numbers of points with speed and efficiency. Our application enables insurers to instantly see how many of their locations will be affected by floods, storms and wildfires around the world.