AI Raw Land Due Diligence
The Problem
“Slow, fragmented raw land due diligence delays deals”
Organizations face these key challenges:
1
Data fragmentation across counties and agencies forces manual collection, normalization, and repeated verification
2
High risk of missing critical constraints (easements, floodplain/wetlands, zoning overlays, access/utility limitations) until late in the process
3
Inconsistent diligence quality across analysts and markets leads to unreliable underwriting and unpredictable timelines
Impact When Solved
Standardized parcel risk scoring and feasibility summaries delivered in hours, not weeksEarlier disqualification of non-viable sites reduces wasted consultant fees and earnest money exposureMore accurate land underwriting improves pricing discipline and reduces post-close surprises and change orders