AI cross-references listing claims against county records, permit history, and flood maps. If the numbers don't match, you'll know before you close.
From a scan of 4,400+ listings across Indianapolis and Kansas City.
Multiple independent public record databases, cross-referenced against the MLS listing. No human enters this data. Every check is automated.
MLS data is entered by the listing agent. Nobody checks it against county records before it goes live. That's how a 1,548 sqft house gets listed as 2,500.
Local investors drive by, talk to neighbors, walk into the assessor's office. This system runs the same public record checks remotely, so you don't have to fly in to find out the listing was wrong.
An unpermitted addition means the appraisal comes in low. A mismatched sqft means your per-foot price is off. These gaps change the math on your deal.
I built PropertyPrism after getting burned. As a software engineer investing out-of-state, I kept finding things that didn't add up: listing sqft that didn't match county records, additions with no permits on file, flood zones that nobody mentioned. So I built an AI pipeline that cross-checks every listing against public records automatically. If the data can catch what my agent and PM didn't disclose, every OOS investor should have access to that.
Send me a listing URL or property address. I'll take a look at the public records and get back to you within 24 hours.
Check your email within 24 hours. Looking forward to the conversation.
No spam. No auto-generated reports. Just a real conversation about your deal.