Case Study/Landable
Land Use, Automated
Land developers spend days completing RFIs manually—gathering data from government sources, juggling template formats, and coordinating feedback across teams.Land developers spend days completing RFIs manually—gathering data from government sources, juggling template formats, and coordinating feedback across teams.
Problem
Land developers spend days completing RFIs manually—gathering data from government sources, juggling template formats, and coordinating feedback across teams.Land developers spend days completing RFIs manually—gathering data from government sources, juggling template formats, and coordinating feedback across teams.
Projects stall for weeks. Data errors are costly. Smaller teams can't compete without dedicated research staff.
Projects stall for weeks. Data errors are costly. Smaller teams can't compete without dedicated research staff.
Solution
An AI-powered RFI platform that accepts any template format, auto-fills fields from 8+ authoritative data sources, and validates with integrated mapping.An AI-powered RFI platform that accepts any template format, auto-fills fields from 8+ authoritative data sources, and validates with integrated mapping.
Hours of manual research replaced by seconds of automated data collection. Visual overlays for zoning, floodplains, and parcel boundaries. Export-ready PDFs and CSVs for any agency.
Hours of manual research replaced by seconds of automated data collection. Visual overlays for zoning, floodplains, and parcel boundaries. Export-ready PDFs and CSVs for any agency.
428% time savings on RFI completion. Higher data accuracy through automated validation. Teams manage multiple projects without expanding headcount.428% time savings on RFI completion. Higher data accuracy through automated validation. Teams manage multiple projects without expanding headcount.
Smaller firms now compete with enterprise players using the same authoritative data sources.
Smaller firms now compete with enterprise players using the same authoritative data sources.
Result