A living graph of how cities are zoned — and how they're changing.

Every parcel. Every relationship. Connected.

Traditional zoning databases store facts. ZoningGraph stores relationships. When a rezoning petition is filed, 47 connected data points update instantly: parcel nodes, overlay edges, permitted use lists, variance histories, neighboring parcel implications.

The graph understands context. A flat table never can.

The intelligence layer on top of the graph.

Raw zoning data becomes intelligence when relationships are understood at scale. ZoningGraph's AI layer scores development potential, models upzone probability, flags regulatory risk, and predicts land use trajectory — turning a graph of facts into a system of insight.

• Upzone probability scoring (0.0–1.0) for any parcel
• Development feasibility modeling: what can be built, estimated cost, projected yield
• Regulatory risk flagging: parcels in contested overlay zones or pending litigation
• Land use trajectory prediction: where is this neighborhood heading in 5 years?