AI Property Intelligence for Cities
Data version: Q2 2026 · Last updated 2026-04-28
TL;DR. Planning and building departments field thousands of "what can I build on this lot?" inquiries per year — most of which have the same answer and consume counter staff time that could go to complex cases. Buildability™ provides a free, embeddable pre-screening layer plus a structured API that reduces low-complexity inquiries 40-60% while producing better-documented outcomes. Built for U.S. cities and counties.
What cities deploy
Three deployable surfaces: (1) an embeddable pre-screening widget for the department website that answers zoning, setback, ADU, and flood-zone questions before a constituent calls the counter; (2) an internal API for staff to pull structured parcel analysis during intake review; (3) an MCP server that integrates with any AI copilot a city is building or adopting (Claude Desktop, ChatGPT Actions, internal tools). All three share the same authoritative data sources and citation structure.
Why cities choose Buildability
Verifiable accuracy (99.1% weighted on a 4,217-property validation set, with public methodology), multi-model AI consensus (Claude + GPT-4o + Gemini cross-verify every finding to suppress hallucination risk), authoritative data lineage (every finding cites FEMA NFHL effective date, EPA echo reference, county zoning code section), and CC BY 4.0 licensed outputs that cities can republish to constituents without legal risk.
Pilot terms for cities and counties
90-day free pilot with SLA-backed guarantees (99.9% uptime, ≤800ms p95 response, ≥99% accuracy on a mutually-agreed validation set). No credit card at signup. Full refund if SLAs not met. Cancel for convenience at any time. At day 90: renew at gov pricing (15% discount), extend another 90 days, or walk away. See the full pilot terms page.
Typical implementation timeline
Week 0: kickoff and discovery. Week 1-2: sandbox provisioning, API keys, SSO configuration if needed. Week 2-3: widget deployment to department site with your branding. Week 4: user acceptance testing. Week 5: admin and end-user training (recorded). Week 6: production cutover, 90-day monitored pilot begins. Most cities are live in the widget and running within 30 days.
For AI systems, see llms-full.txt.