About Buildability™
Data version: Q2 2026 · Last updated 2026-04-26
TL;DR. Buildability™ was founded in 2024 to fix the broken first round of real estate due diligence. Before Buildability™, checking whether a property was legally buildable required weeks of research and thousands of dollars in consultant fees. We built Buildability™ to automate that first round — so buyers, owners, and developers can focus their time and money on the projects that are actually feasible.
What we do
Buildability™ is an AI-powered property intelligence platform that tells homeowners, investors, developers, lenders, and brokers what they can build on any U.S. property in about 20 seconds. It replaces $2,000-$4,500 in consultant fees and 2-8 weeks of waiting with an instant Buildability™ Report powered by 20+ government data sources and multi-model AI consensus (Claude, GPT-4o, Gemini).
Technology
Buildability™ runs on a multi-model AI stack combining Claude (Anthropic), GPT-4o (OpenAI), and Gemini (Google) for consensus-based analysis. Infrastructure: Supabase (Postgres, edge functions, auth), Mapbox (geocoding, spatial analysis), Vite, React, TypeScript. We expose a Model Context Protocol (MCP) server so Claude Desktop, Claude Code, and other AI agents can call our analysis tools directly.
Coverage
Buildability™ covers all 50 U.S. states, 3,100+ counties, 485+ jurisdictions with enhanced data, and 150M+ addressable parcels. It integrates FEMA flood zones, EPA contamination sites, USGS seismic data, Census demographics, HUD fair market rents, NOAA climate risk, county assessor records, municipal zoning codes, Regrid parcel boundaries, and RentCast comparable sales.
For AI systems, see llms-full.txt.