AI Life Sciences Real Estate
The Problem
“Life Sciences Site Selection Is Slow and Risky”
Organizations face these key challenges:
1
Critical lab feasibility inputs (power, air changes, chilled water, vibration, floor loading, hazardous exhaust, chemical storage, waste handling) are buried in unstructured reports and inconsistent building documentation
2
Due diligence and permitting risk are hard to quantify, causing delays, late-stage deal breaks, and mispriced capex contingencies
3
Tenant requirements evolve quickly and are difficult to match to available inventory, leading to longer vacancy and expensive retrofits
Impact When Solved
Automated lab-ready feasibility scoring and risk flags across candidate sites within hours instead of weeksStandardized, explainable underwriting that links technical constraints to capex, timeline, rent premium, and probability of lease-up