Findigs, the AI-native leasing decisioning platform that helps residential operators across the US improve revenue and grow their bottom line, announced that it closed a $32m Series C funding round.
The funding round was led by Marc Weiser of RPM Ventures, with participation from existing investors Nyca Partners, Frontier Venture Capital and Western Technology Investment.
The round brings Findigs’ total funding to date to $80m. The company plans to use the new funds to advance its leasing decisioning platform, expand affordable-housing capabilities (including LIHTC and Section 8 workflow support), and launch Rent Guarantee products that protect operator revenue across the full lease term.
“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
With vacancies up and operating costs climbing, property managers and landlords are looking to grow occupancy without shouldering more risk.
“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
Findigs’ platform helps operators grow occupancy rates, increase revenue, and reduce risk by generating an automated yes/no decision for each application, rather than leaving the decision-making up to a human reviewer. Those decisions also come within a few hours, as opposed to the industry average of a few days.
“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, Findigs Board Member, Founding Partner and Former Managing Director, BlackRock, and Former CEO, Fannie Mae
To date, over 400,000 units are on Findigs’ platform, including hundreds of different operators and clients, and since inception, its customers have seen up to 80% fewer evictions and 90% lower delinquency rates.
“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
Findigs customers include McKinley, Imagine Homes Management, Oakwood Management Company, Western Wealth Communities, and Sentral.
McKinley saw a 46% decline in eviction rates across its portfolio in 2025, reduced acquisition costs by 33%, and increased occupancy to 98.6%.
