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WSECU Invests in AKUVO to Advance Innovation

  • Writer: Kelsie Papenhausen
    Kelsie Papenhausen
  • Apr 7
  • 2 min read

MALVERN, Pa. – AKUVO, a leading technology company specializing in collections and credit risk management, is excited to announce that WSECU, a $5.2 billion credit union based in Olympia, Washington, has invested in AKUVO through its holding company, One Washington Financial, and will join AKUVO's Advisory Board.

 

"Our partnership with AKUVO supports our mission to improve the financial wellbeing of our members and the communities we serve," said Paul Kirkbride, COO for WSECU.  "This investment reflects a commitment and confidence in AKUVO as a company and technology provider. We believe that AKUVO's platform will help us enhance collections strategies, improve efficiency, and deliver exceptional member experiences. We are excited to further contribute to the company's long-term vision through this investment."

 

"We are honored to welcome WSECU as they join six credit unions and CURQL as an investor in AKUVO," said Jay Mossman, Founder and CEO of AKUVO. "The commitment to innovation and member service aligns perfectly with our goals, and we look forward to a successful partnership that drives positive outcomes for both organizations."

 

About AKUVO

AKUVO is a leading provider of cloud-native collections software solutions that elevate how banks, credit unions, and fintechs collect and manage their portfolios via its products. Whether it is through their stand-alone virtual collector, or its next-generation collections platform, AKUVO provides the technology and data necessary to increase collections efficiency, provide a digital consumer experience, reduce staff costs, anticipate delinquencies, and provide insight into future credit decisions. AKUVO delivers a digital future for collections and account performance management with a visionary, behavior-based approach while taking full advantage of emerging technologies such as artificial intelligence, natural language processing, and machine learning. To learn more, visit www.akuvo.com.

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