Land use regulations are fragmented, opaque, and siloed. Spatial organizes them into a connected layer, searchable with natural language.
Join waitlistType a site address or describe a project in your municipality. Spatial uses AI to search every policy relevant to your question. It returns what applies, flags where documents conflict, and links each statement to the exact source passage.
Spatial connects your enterprise data with the regulatory environment, so the full policy landscape is structured, searchable, and linked. When Spatial returns an answer, every document that bears on it has been considered.
Land use policy is infrastructure. As foundational as roads, utilities, and transit. But unlike the built environment it governs, policy has no shared platform. It lives across platforms, formats, and institutions, connected in principle, fragmented in practice.
Large language models have changed what's possible. For the first time, the volume and complexity of policy data can be met with directed, structured access, the ability to ask a specific question and trace the answer across every document that governs it.
We think every municipality should have a queryable platform for navigating the policy that governs its built environment. A language model system as interconnected as the places and people it serves.