PropertyLens
Strengthening Property Decisions with Deeper Data

Listings and standard property records often leave home buyers and insurers with important questions unanswered. Details about roof condition, prior damaging events, repair exposure, permit history and environmental or peril risks can remain unclear. Buyers also depend on what sellers and agents disclose or what an inspection uncovers. The information may exist, but it is scattered across multiple sources, difficult to assemble and frequently absent from conventional reports.

PropertyLens turns fragmented property data into a clear, independent view of what a property truly costs. It helps homebuyers, insurers, realtors and inspection companies uncover hidden risks and make more informed decisions before they commit.

“Better decisions are based on better data, and better data is what PropertyLens is all about,” says Bob Frady, CEO and cofounder.

A Smarter Start to Property Due Diligence

PropertyLens draws from more than 90 sources to build a broad view of each property, accommodating the different ways buyers and industry professionals assess risk. Instead of spending hours or days piecing together records, users can begin their diligence with a ‘pre-game’ analysis that highlights what warrants attention and which questions to ask next.

The value of that view depends on the user. An investor may avoid properties with flood exposure, while another buyer may actively look for a home that needs repairs. Some focus on two-year expected repair costs and other near-term ownership expenses, while others prioritize exposure to natural or manmade perils.

PropertyLens supports these different priorities by providing the underlying data without imposing a single definition of risk. Its Home History Report organizes findings into an understandable format that points buyers toward propertyspecific questions, helping them enter inspections and negotiations with more context.

Information such as roof condition, previous permits, damaging events and proximity to flood exposure can reveal issues that were not previously disclosed and give buyers a clearer sense of the true cost of ownership.

A recent Tennessee purchase shows how that context can change the decision. PropertyLens data flagged possible soil runoff issues, elevated sinkhole risk and improvements with no associated permits. Although the real estate agent questioned some findings, the inspection uncovered a foundation problem requiring a $75,000 repair. The buyer negotiated that cost into the final purchase price, turning a potential financial liability into an informed decision.

From Property Detail to Underwriting Speed

Insurance carriers often rely heavily on information provided by the insured or their agent, which can introduce errors into underwriting. PropertyLens enables insurers to obtain more than 80 percent of the data they need with a single API call, helping to shorten turnaround times and reduce reliance on incomplete inputs.

Its independent assessment includes property components, roof condition, peril exposure, replacement cost and permits. That broader view supports more informed underwriting decisions and more accurately priced policies.

Users also benefit from flexible access through APIs, reports or both, allowing the same information to fit different workflows. For insurers, data that would otherwise require multiple sources can be consolidated into a single review for faster processing.

The company’s commercial model follows the same principle of flexibility. PropertyLens charges customers for what they use, rather than requiring long-term contracts or subscriptions, making its data accessible to organizations of all sizes and individual buyers. Insurers can also evaluate the data at no cost through the company’s website.

Across use cases, the common thread is reducing how much of a property decision is left to assumption. PropertyLens does not replace inspections, underwriting judgment or buyer priorities. By making hard-to-find information easier to assemble, interpret and act on, it gives users a stronger basis for assessing condition, risk and ownership cost, earning it recognition as the Top Property Risk Assessment and Due Diligence Data Platform in 2026.