AI property intelligence engine
MAUK in-house build · US residential & commercial property
Several US listing sources in one search, turned into investment-ready property profiles by AI.
A property research service that brings residential and commercial listings from multiple US sources into one search and looks properties up by pinned address. AI adds estimates such as environmental risk, market value, household income and replacement cost.
- What it is
- AI system
- Industry
- Real estate & property
- Status
- Working, not public
- Year
- 2026

The problem
What needed solving
Property investors research each candidate across several listing platforms and public datasets, then estimate risk, value and rental potential by hand. The data is fragmented, formatted differently in every source, and slow to compile.
The solution
What we built
A research service with a web interface: search a whole market or pin one address, and get back a single, consistent profile per property with AI estimates added.
Core functionality
- Combined residential search across single- and multi-family listings
- Commercial property search with extended sale details
- Filters for price, size, beds and baths, cap rate, year built and radius
- Pin-address lookup for instant underwriting
- AI estimates on every property: environmental risk, market value, household income, replacement cost
- Different depths of data for free users, paid users and admins
Screens
More screenshots
Captured from the live site, a demo workspace, or the product running on sample data. No customer records, passwords or private admin data are shown.
Business impact
What it achieved
One search across residential and commercial sources
VerifiedAI estimates on every property profile
Verified
What sets it apart
Why it works
- 01
One profile, every source
Listings from different providers arrive in one consistent format, so investors compare like with like.
- 02
Hours of research in one step
The estimates an investor would otherwise compile by hand are added to each property automatically.
- 03
Built to be sold
Free, paid and admin users see different depths of data, so the service is ready for a subscription model.
Services
Where this work fits
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