From LiDAR QA to conversational GIS: How GIS-Point builds AI-native tools on open spatial stacks

GIS-Point builds AI-native tools on open spatial stacks. This session presents two live product cases from our IT Unit.

First: allgis.io, our production SaaS platform originally built for lidar quality control at scale – turnaround from weeks to days, 500 kilometres of LiDAR processed in four days at 97.2% accuracy.

Second: a natural language AI agent that talks to a PostGIS database – plain English in, geometry on a map and generated SQL out, auditable and domain-aware. Both running on PostGIS, FastAPI, and GeoServer.

Aimed at heads of technology, GIS managers, and CTOs evaluating how AI fits into existing spatial infrastructure without replacing it.