Underwriting a commercial property used to mean a few analysts, a rent roll, and a week of spreadsheet work. That timeline has compressed to hours at several of the larger institutional shops, and the shift is quieter than most proptech narratives because it's happening inside existing workflows rather than through a flashy new front-end.
The model, not the interface, is the product
The vendors winning this cycle aren't selling dashboards. They're selling underwriting models trained on portfolio-level performance data — comparable sales, tenant credit history, submarket absorption — that used to live in the heads of senior underwriters. The output looks like a normal memo. The difference is how fast it was produced and how many more deals a single team can screen.
Who benefits
Scale operators benefit first. Feeding a model with a decade of proprietary deal history is a moat that a two-person shop can't replicate, which means the technology is arguably widening the gap between institutional and independent sponsors rather than closing it — the opposite of the usual proptech pitch.
Worth watching: how much of this stays in-house versus gets productized and sold to the sponsors it's currently disadvantaging.