Moving beyond descriptive analytics. GeoSpatial AI combines Large Language Models (LLMs) with vector topology to reason, predict, and answer complex strategic questions for football development.
Spatial-RAG Architecture
Semantic & Topological Reasoning Layer
Traditional GIS tells you where things are. GeoSpatial AI tells you why they are there and what might happen next. By integrating Generative AI with spatial databases, we create a system that can understand natural language questions, perform complex geometric calculations, and infer relationships between disparate datasets—simulating the reasoning of an expert planner in seconds.
Four key pillars where AI will drive decision making.
Optimizing locations for Comets, SquadGirls, and JustPlay. The AI finds the "sweet spot" by intersecting target demographic clusters (e.g., girls aged 12-16) with pitch availability and checking for a lack of existing competition within a 15-minute drive time.
Identifying geographic clusters of high Expression of Interest (EoI). By visualizing latent demand, County FAs can launch targeted recruitment drives in these hot-spots, maximizing course attendance and long-term retention.
Generating robust support for planning applications. The system automatically collates multi-layer evidence—health deprivation, inactivity rates, and local demand—to prove the undeniable case for new facilities to funding bodies.
Uncovering "blind spots" in the network. Identifying areas with high youth density and demand but zero current provision—opportunities that manual analysis often overlooks due to administrative boundaries.
We are building a Spatial-RAG (Retrieval-Augmented Generation) pipeline. This allows the VisualEyes system to "read" its own map data.
Natural Language Input: User asks a complex question.
Semantic Translation: LLM translates text into SQL/PostGIS spatial queries.
Vector Retrieval: Database executes geometric calculations (buffers, intersections).
Reasoned Output: AI synthesizes the data into a strategic answer.
Using natural language to extract quality insights instantly.