The Tenant Screening System Is Broken — And Most People Just Accept It
If you have ever applied for an apartment, you already know the feeling. You hand over your Social Security number, your pay stubs, your bank statements, and sometimes letters from previous landlords, then you wait. A few days later, you get a yes or a no — with almost no explanation attached to either answer. The criteria are vague, the process feels arbitrary, and the outcomes can be life-changing. For millions of renters, this is simply the cost of finding a place to live.
For landlords, the problem runs in the other direction. Traditional tenant screening tools give them a credit score, a background check, and a prayer. They have no reliable way to verify whether the documents they are receiving are authentic, no clear framework for evaluating applicants consistently, and no safety net when a decision turns out to be wrong. The entire system, used by hundreds of thousands of rental properties across the United States, is built on decades-old criteria that nobody can trace back to actual data about rental outcomes.
That is the exact problem that Findigs was built to solve — and the company just raised $32 million to do it at scale.
What Findigs Actually Does Differently
Findigs is a proptech company that wants to replace the traditional tenant screening process with something it calls a decision. Not a score, not a report, not a stack of unverified documents — a single, explainable, data-backed recommendation that a landlord can act on with confidence.
The distinction sounds subtle, but it is meaningful. Most screening tools aggregate data and hand it back to the landlord to interpret. Findigs takes the extra step of making a call. Its platform analyzes applicant information using models that are tied to actual rental performance data, rather than borrowed assumptions from consumer lending or gut-instinct rules that have been passed down through property management tradition.
Critically, Findigs backs every decision it makes with a fraud guarantee. If the company approves an applicant and that applicant turns out to have submitted fraudulent documents, Findigs absorbs the financial consequences. That is not a feature that any legacy screening tool offers, and it fundamentally changes the risk calculus for property managers and landlords.
Why Fraud Is the Core Problem in Rental Applications Today
Rental application fraud has exploded in recent years, largely because document manipulation has become cheap and easy. Pay stubs can be edited in minutes. Bank statements can be fabricated with free online tools. Employment verification calls can be routed to accomplices. Landlords relying on manual review have almost no reliable defense against a determined bad actor.
The scale of this problem is larger than most people in the industry want to admit. Industry estimates suggest that a significant percentage of rental applications contain at least some misrepresented information, ranging from minor exaggerations to wholesale fabrication. The consequences fall on landlords, on other renters who compete honestly against fraudulent applications, and eventually on housing markets as a whole.
Findigs addresses this by using technology to verify documents at a level no human reviewer can match. Its system checks income verification against original data sources rather than accepting scanned copies at face value. It cross-references employment information, identifies inconsistencies that would be invisible to the naked eye, and flags applications that carry elevated fraud risk before a decision is made.
The Problem With Legacy Criteria Nobody Questions
Beyond fraud detection, Findigs is challenging something even more entrenched: the idea that the criteria currently used in tenant screening are actually predictive of anything useful.
The standard model relies heavily on credit scores, income-to-rent ratios, and background checks. Each of these has real problems. Credit scores were designed to predict loan repayment behavior, not tenancy outcomes. Income-to-rent ratios assume a stable income profile that does not reflect the gig economy, self-employment, or the financial realities of millions of renters. Background checks can surface information that is decades old and has no bearing on how someone will behave as a tenant today.
Nobody built these criteria by studying rental data. They were borrowed from adjacent industries, hardened into policy through repetition, and are now defended by inertia more than evidence. The result is a screening process that is both unreliable for landlords and often unfair to renters — particularly those from lower-income backgrounds, minority communities, and non-traditional employment situations.
Findigs is trying to replace this with models that are actually trained on rental outcome data — what happens after someone moves in, whether they pay consistently, whether they maintain the property, and how those outcomes correlate with the information available at application time.
What the $32 Million Means for the Industry
A $32 million raise at this stage signals serious institutional confidence in Findigs' approach. The capital will likely go toward expanding the platform's reach across more property management companies and independent landlords, deepening the data infrastructure that makes its models more accurate over time, and building out the insurance and guarantee products that sit underneath every decision it makes.
For the broader proptech and rental market, it is a signal that the tenant screening space — largely unchanged for decades — is finally being treated as a serious technology problem worth solving from scratch.
What This Means for Renters and Landlords Right Now
For renters, a more transparent and data-honest screening process has the potential to open doors that were previously closed by blunt, poorly calibrated tools. Applicants with thin credit histories but strong rental track records, or those with non-traditional income streams, stand to benefit most from a system that evaluates them on signals that actually matter.
For landlords, the fraud guarantee alone is a compelling reason to pay attention. The ability to make faster, better-supported decisions while shifting fraud risk to the platform changes the economics of tenant selection in a meaningful way.
Tenant screening has been a relic for long enough. Findigs is betting $32 million that the industry is finally ready for something better — and given how badly the current system serves everyone involved, that bet looks increasingly reasonable.