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Home›Tech News›Fuse Raises $25M to Transform Credit Union Loan Origination with AI

Fuse Raises $25M to Transform Credit Union Loan Origination with AI

By Matthew Lynch
March 17, 2026
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In a significant move set to reshape the landscape of loan origination within the credit union sector, Fuse has successfully raised $25 million in its latest funding round. This funding, led by notable investors, aims to develop an AI-native loan origination system (LOS) that addresses the pressing challenges faced by over 4,000 U.S. credit unions currently reliant on outdated legacy software solutions such as nCino and MeridianLink.

The Founders’ Vision

Founded by Andres Klaric and Marc Escapa, Fuse initially began as a company focused on automotive lending. However, recognizing the broader challenges within the credit union system, the founders pivoted their focus to create a more efficient and modern solution for loan origination.

The decision to shift gears was driven by the founders’ understanding of the technological limitations that many credit unions face today. According to Klaric, many of these institutions are hampered by aging software that is inefficient and costly to maintain. By leveraging advanced technologies like large language models (LLMs), Fuse aims to facilitate rapid adoption and significant cost reductions for these middle-class serving institutions.

Addressing Legacy Systems

Credit unions have long relied on legacy loan origination systems that often lack the agility required in today’s fast-paced financial landscape. As Nikhil Basu Trivedi from Footwork notes, there is a critical need for an AI-driven overhaul in the credit union sector. Current systems not only limit the potential for innovation but also impede the ability of these institutions to compete effectively against larger banks and fintech companies.

  • nCino – a cloud banking platform that has dominated the market but may not cater to the unique needs of credit unions.
  • MeridianLink – another legacy system that has been criticized for its complexity and high costs.

Fuse’s entry into this space comes at a time when credit unions are increasingly looking for ways to modernize their operations, reduce costs, and enhance member services. The new AI-native platform promises to streamline the loan application process, reduce processing times, and improve overall member experience.

Competitive Landscape

By focusing on AI-driven solutions, Fuse positions itself against other emerging players in the market, including Casca and Glide. These companies also seek to disrupt traditional loan origination systems, but Fuse distinguishes itself by its tailored approach to credit unions.

In an industry where the average age of technology is stagnating, Fuse’s innovative platform could provide a much-needed refresh. The company’s use of AI not only aims to enhance efficiency but also to provide actionable insights and analytics that are crucial for decision-making in lending.

The Role of AI in Loan Origination

Artificial intelligence is becoming increasingly pivotal in financial services, particularly in the realm of loan origination. Fuse intends to harness the power of AI to automate repetitive tasks, assess creditworthiness more accurately, and provide personalized lending options for credit union members.

This approach not only promises to reduce operational costs but also aims to enhance the speed and quality of loan approvals. By implementing machine learning algorithms, Fuse plans to allow credit unions to make data-driven decisions that can significantly improve their service offerings.

Future Prospects

With the $25 million funding round, Fuse is now in a strong position to accelerate its development efforts and bring its AI-native LOS to market. The company plans to invest heavily in refining its technology and expanding its team to ensure that it meets the unique needs of its credit union partners.

The impact of this innovation could be profound, not just for credit unions but also for the members they serve. As these institutions begin to adopt more modern technologies, members can expect faster loan approvals, more competitive rates, and a better overall experience.

Conclusion

As the financial services industry continues to evolve, the need for modernization within credit unions has never been more critical. Fuse’s commitment to developing an AI-native loan origination system represents a promising step forward for the sector. By addressing the challenges posed by legacy software and providing a modern solution, Fuse is poised to reshape the way credit unions operate and serve their communities.

In a time when technology is at the forefront of every industry, Fuse’s innovative approach could very well set a new standard for loan origination in the credit union space.

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