FairPlay raises $10 million in Series A Funding to reduce bias in lending
The fast-growing company is scaling its “Fairness-as-a-Service” solution to reduce algorithmic bias for people of color, women, and other historically disadvantaged groups.
LOS ANGELES, CALI (July 19, 2022) — FairPlay, the world’s first “Fairness-as-a-Service” solution for algorithmic decision-making, today announced that it has raised $10 million in Series A funding. The round was led by Nyca Partners, with participation from Cross River Digital Ventures, Third Prime, Fin Capital, TTV, Nevcaut Ventures, Financial Venture Studio and Jonathan Weiner.
FairPlay uses AI fairness techniques to reduce algorithmic bias for people of color, women and other historically disadvantaged groups. Launched in 2020 in response to calls for greater action against systemic bias, FairPlay offers technology solutions to enhance fairness in financial services and other industries. Algorithms are increasingly being used to make high-stakes decisions about people’s lives in lending, insurance, employment, predictive policing, and other areas. FairPlay’s rigorous and easy-to-use algorithmic fairness solutions empower lenders to identify and mitigate bias in their credit models, increasing profitability and financial inclusion.
“Fairness-as-a-Service is growing fast,” says Kareem Saleh, Founder and CEO of FairPlay. “Lenders use FairPlay because they believe, as we do, that fairness is good for people, profits, and progress. We are excited to use this new funding to further invest in our products, grow our team and bring Fairness-as-a-Service to new markets.”
Tom Brown, Partner and General Counsel at Nyca Partners, commented, “FairPlay is the first company on a mission to raise the bar in algorithmic fairness in lending and has a strong team to lead the way. Their innovative solutions and the growth they’ve seen in less than two years make them a perfect fit for Nyca Partners.”
FairPlay offers two APIs. The first API provides Fairness Analysis, analyzing a lending model’s inputs, outputs and outcomes to identify if disparities exist and for which historically disadvantaged groups. The second API, Second Look, leverages Fairness Aware AI technologies to re-underwrite declined loan applications for borrowers from protected groups. The technology assesses whether applicants declined by the primary algorithm resemble ‘good’ borrowers in ways that weren’t previously considered. The result is that more applicants from underserved groups are responsibly approved for loans, reducing bias and increasing lenders’ profitability.
FairPlay’s customers include Figure Technologies, Happy Money and Octane.
“At Octane, we use technology and artificial intelligence to make lifestyle purchases fast, easy, and accessible,” said Ray Duggins, Chief Risk Officer at Octane. “Our partnership with FairPlay helps us to ensure our decisioning models are fair as we connect people with their passions and fuel our customers’ lifestyles.”
FairPlay also announced that Manny Alvarez, the former Commissioner of the California Department of Financial Protection and David Silberman, the former Acting Deputy Director of the Consumer Financial Protection Bureau, have joined the company as advisors along with fintech executive Kim Gerhardt.
FairPlay will use the funding to grow its engineering and data science teams and expand its products into the insurance, marketing and fraud industries.
“Consumers from all walks of life are demanding fairness from their governments, their employers and the brands they patronize,” said Saleh. “Our Fairness-as-a-Service solution is for companies who want the economic, regulatory and reputational benefits of being fair.”
FairPlay is the world's first “Fairness-as-a-Service" solution for algorithmic decision-making. The company provides lenders with easy-to-use tools that assess and reduce bias in credit algorithms. FairPlay was founded to combat the threats algorithmic systems pose to the safety of consumers and society, by building fairness infrastructure to de-bias digital decisions in real-time. The company is based in Venice Beach, California.