we built it because
we needed it first.
Verleon AI started as an internal tool inside our own real-estate fund — because spreadsheets, propstream, and the MLS don't agree on the same number twice. we built one source of truth for every listing, then opened it up.
real estate is the last industry
where data lies.
zillow rent estimates, propstream comps, broker pitch decks, the MLS "current rent" field — all wrong, often by 20–40%, and the discrepancies compound across every model. so we built our own ingestion, our own triangulation, our own scoring. then we made it the only thing you have to look at.
three principles.
load-bearing.
numbers over narrative.
cash flow and DSCR don't care about your thesis. we surface the math first; the story is for after the offer.
fewer screens.
most prop tech is dashboards looking for problems. we ship one thing — a deal in your inbox that already cleared your box.
own the inputs.
licensed feeds, county data, six-carrier insurance, four-source rent. we don't scrape. we don't guess. we don't resell propstream wrappers.
the short version.
internal tool.
built inside Verleon Investments to score 50–80 listings/wk against our own DSCR + Section 8 rules. spreadsheet replaced; thesis confirmed.
shared with peers.
three operator funds and seven solo investors got access. they kept asking for more markets. we kept hiring.
nationwide.
38 MLS feeds + auction + off-market + tax delinquent. 50K+ active listings re-underwritten weekly, growing as we onboard new metros.
now onboarding.
40-investor cohort with hands-on calibration, then we open the door wider.
built by operators.
for operators.
we still close deals every week using this exact platform. it's the same software you'll use.