Findigs, an AI-native leasing decisioning platform for residential property operators, announced it has raised $32 million in Series C funding. The round was led by RPM Ventures Managing Director Marc Weiser, with participation from existing investors Nyca Partners, Frontier Venture Capital, and Western Technology Investment.
The new financing brings Findigs’ total funding to date to $80 million. The company plans to use the capital to further develop its leasing decisioning platform, expand its affordable housing capabilities, including support for LIHTC and Section 8 workflows, and launch Rent Guarantee products designed to protect operator revenue throughout the duration of a lease.
Founded in 2018, Findigs helps property owners and managers make automated leasing decisions based on applicant performance data. Rather than relying on traditional screening methods and manual reviews, the platform delivers automated approval or denial decisions within hours. The company says its technology is designed to help operators increase occupancy while improving revenue quality and reducing risk.
According to Findigs, more than 400,000 residential units currently use its platform. The company reports that customers have experienced up to 80% fewer evictions and 90% lower delinquency rates. Its customer base includes McKinley, Imagine Homes Management, Oakwood Management Company, Western Wealth Communities, and Sentral.
Findigs highlighted McKinley as a customer success story, noting that the operator achieved a 46% reduction in eviction rates across its portfolio in 2025, lowered acquisition costs by 33%, and increased occupancy to 98.6%.
The company believes its AI-powered approach modernizes a leasing process that has traditionally relied on manual reviews, inconsistent criteria, and lengthy turnaround times. By leveraging post-lease performance data across hundreds of thousands of units, Findigs aims to improve both risk assessment and the resident experience.
KEY QUOTES:
“Operators don’t need higher occupancy. They need occupancy that pays. We built Findigs to end the trade-off between filling units and protecting revenue. Every application gets an automated yes or no in a few hours, grounded in how applicants actually perform after they sign. That’s what gets operators better revenue quality, and that’s what grows NOI. This round lets us extend that same engine. For more operators, across more housing types, and across the full lease term.”
Steve Carroll, Co-Founder and CEO, Findigs
“Every rental application in the country runs through screening, underwriting and leasing decisions. Tens of millions a year. Almost all of them still go through tools built for a different decade, and rely on manual decisions by leasing teams. Findigs is the only product we’ve seen that rebuilt the decision itself, and they have the data to prove it works. Over 400,000 units, hundreds of operators, and the only contractual fraud guarantee in the industry. The market is enormous, and this is the team that wins it. That’s why we led the round.”
Marc Weiser, Managing Director, RPM Ventures
“The best way to manage a risk is usually by not taking it. It’s never been different for the leasing decision and for too long operators and prospective residents have lived with manual reviews, inconsistent criteria, and slow turnarounds because there was no alternative. Modern technology provides the alternative. Using AI, Findigs can combine a better risk decision with a better customer experience and that is why I’m involved.”
Hugh R. Frater, Board Member, Findigs; Founding Partner and Former Managing Director, BlackRock; Former CEO, Fannie Mae
“Most screening tools hand the operator a score and walk away. We hand them a decision. Behind every yes or no is a model trained on how applicants actually perform after they sign, across hundreds of thousands of units. That’s what makes the decisions hold up. 80% fewer evictions, and 2-3x better lease conversions.”
Chris Diamond, VP of Product, Findigs
