
AI employees for commercial real estate
Report from 17 days ago
Closera sells a SaaS platform that automates repetitive deal work for commercial real estate (CRE) brokerages. Today, it generates client deliverables like offering memorandums and brochures, produces broker opinions of value (BOVs) from an address plus a few inputs, and runs property surveys/qualification in parallel across many assets. The typical flow shown in their materials is: enter a property address and basic details, Closera pulls data, runs comps/assumptions, and outputs a BOV or polished deliverable in minutes site/platform. They position this as compressing tasks that can take weeks into minutes and emphasize time saved per broker site and YC listing.
Top-down context:
Real‑estate brokerage activity is large (U.S. industry revenue ≈ $241B) and the global real‑estate software market is already ≈ $10.3B (2023), indicating meaningful software spend in the category IBISWorld, Grand View Research.
Bottom-up calculation:
BLS counts ~111,300 U.S. real‑estate brokers. Using Closera’s claim that ~35 hours/week could be automated and BLS mean broker wage ($41.41/hr), reclaimed time is ≈ $75k per broker/year, or ≈ $8.4B theoretical if applied across all brokers YC, BLS.
Assumptions: