The proptech platform is pushing real estate technology beyond the listing.
Leevli, the U.S. property technology company now valued at approximately $55 million after an initial valuation of roughly $5 million, recently expanded its platform with Leevli Legal, an AI powered property intelligence layer designed to investigate what buyers are really purchasing and not simply what appears on a listing page.
But behind the technology is an idea that predates the internet: word of mouth. For generations, one of the most useful questions a buyer could ask was, “Do you know someone who lives there?”
If the answer was yes, that conversation was often worth more than hours of online research. It could reveal what photographs and price histories could not: whether a building is noisy on weekends, whether management actually responds, whether families stay for years or what residents wish they had known before moving in.
“Information can be searched. Experience is meant to be shared,” says founder Natalie Geller, a lawyer licensed in New York and Brazil with a background in real estate and cross-border due diligence.
Through Ask a Resident, users can connect with people who live in a building or neighborhood. The premise is to make those once-private conversations between neighbors more accessible.
The platform applies a similar philosophy to real estate professionals. Instead of presenting buyers with an endless directory of agents competing for attention, Leevli features a limited group of local brokers as Experts in each neighborhood. The idea is to make local knowledge easier to identify and the connection between buyer and professional more direct.
Leevli Legal adds another dimension to a platform that already combines more than 2 million property listings, local real estate experts and more than 58,000 resident reviews across 12 states, extending that philosophy from human experience into evidence. It examines property-specific information that may materially affect a purchase, including permits, violations, association documents, budgets, assessments, inspections and recorded instruments. Rather than functioning as a generic chatbot, it is designed to investigate a specific property and connect information scattered across documents, databases and jurisdictions.
Finding a property has become dramatically easier. Understanding it remains harder. For Geller, that distinction matters because the decision is bigger than a transaction. “People don’t just choose properties, they choose where they are going to build their lives. Technology cannot replace lived experience. No artificial intelligence knows a neighborhood better than someone who wakes up there every day and calls that place home.”
At Leevli, the evolution of real estate search is no longer simply about finding the right property. It is about understanding what surrounds it, what lies behind it and what living there may actually mean.
