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Findigs Raises $32m Series C for AI Leasing Platform

By Milan Rojan

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  • America
  • Financial Services
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Findigs has raised $32 million in a Series C funding round as the AI-native leasing decisioning platform looks to expand its offerings for residential operators across the United States.

The funding round has brought the company’s total funding to $80 million. It has been led by RPM Ventures’ Marc Weiser, with participation from existing investors Nyca Partners, Frontier Venture Capital and Western Technology Investment.

According to the company, the new capital has been earmarked to enhance its leasing decisioning platform, expand affordable housing capabilities, including LIHTC and Section 8 support, and introduce Rent Guarantee products designed to protect operator revenue throughout the lease lifecycle.

Steve Carroll, co-founder and CEO of Findigs, said, “Operators don’t need higher occupancy. They need occupancy that pays. For too long, the industry has optimised for speed and volume, while leaving money on the table through avoidable delinquency, fraud, and bad debt. We’ve built a decisioning engine that learns from outcomes after move-in, helping operators make faster, more confident decisions grounded in what actually drives revenue quality.”

The company has stated that its platform helps residential operators improve revenue quality by balancing tenant acquisition, occupancy growth and risk management.

As part of the announcement, Findigs has also appointed Hugh R. Frater, founding partner and former Managing Director of BlackRock and former CEO of Fannie Mae, to its Board of Directors.

Frater Hugh R. Frater, founding partner at Garnet Partners and former CEO of Fannie Mae, said, “Findigs is tackling one of the most important and overlooked challenges in housing: making leasing decisions that are both fair and financially sound. Their approach brings much-needed intelligence and accountability to a process that has long relied on outdated heuristics.”

The company has positioned the funding as a step towards scaling its decisioning technology and expanding its presence across the residential housing sector.

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