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Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Fuse announced a $25 million Series A on March 16, 2026, to expand its AI-native loan origination system for credit unions and other financial institutions. The round was led by Footwork, with Primary Venture Partners, NextView Ventures, and Commerce Ventures participating, according to TechCrunch. Fuse’s pitch is to combine loan processing and account opening while offering a route around legacy systems that lenders say can be costly and slow to integrate. The funding and product claims are not, by themselves, proof of better lending outcomes.
What is a loan origination system?
A loan origination system (LOS) is the operational software a lender uses to move a loan through stages such as application, underwriting, approval, and disbursement. It can connect borrower-facing applications to staff workflows, decision rules, lender records, and other systems. Credit unions rely on this infrastructure to process member loans; delays or manual work in the process can affect both staff workload and how quickly applicants receive decisions.
TechCrunch reported that integrations for traditional LOS products can take as long as a year and that contracts are often expensive and multiyear, attributing those observations to Fuse co-founder Andres Klaric. They are reported market pain points, not a survey measuring every lender’s experience.
What did Fuse announce?
TechCrunch reported on March 16, 2026, that Fuse raised a $25 million Series A led by Footwork. Primary Venture Partners, NextView Ventures, and Commerce Ventures also participated. Fuse’s broader investor materials list FJ Labs and Clocktower Ventures as well, but the available materials do not establish that they participated in this Series A.
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The March report said Fuse had more than 100 customers at that time. Fuse’s product page, accessed in 2026, separately states that the platform serves 100+ financial institutions and has raised $25M+ from fintech investors. Those are company-reported figures, not an independently audited customer count.
What does Fuse do for credit unions?
Fuse describes its product as an integrated platform for loan origination and deposit account opening. Its listed capabilities cover consumer and small-business lending, online-to-branch handoffs, pre-approvals, and cross-selling. The company also lists applicant and staff portals, configurable workflows and decisioning, core-system integrations, an integrations marketplace, reporting, and AI agents for tasks such as reading documents and verifying fraud indicators.
Fuse says its platform is SOC 2 compliant and uses single-tenant infrastructure. Those are vendor statements; a prospective institution should review current security documentation, scope, data handling, and controls rather than treating them as an independent assessment.
How to interpret the performance figures
Fuse’s product page, accessed in 2026, advertises 200+ integrations and 71% automation within one year. It also displays 2.4x loan conversion, a 68% reduction in variable operating cost, and a 3.1x increase in profitability margin. The reviewed materials do not provide methodology or independent validation for these outcome figures, so they should be treated as company marketing claims, not guaranteed results for a credit union.
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TechCrunch reported that Fuse allocated $5 million to a Rescue Fund offering free platform access to the first 50 qualifying credit unions until their legacy-vendor contracts expire. The complete eligibility rules are not stated in the announcement. The offer is therefore not enough to determine whether a particular institution qualifies or what costs might apply after the free-access period; credit unions would need to confirm terms directly with Fuse.
What later partnerships signal—and what they do not
FIS: indirect auto and equipment lending
On June 8, 2026, FIS announced a strategic alliance with Fuse for indirect auto and equipment lenders in the United States and Canada. The announcement says FIS Asset Finance and FIS AutoSuite are to integrate with Fuse to connect origination and servicing. FIS said the arrangement is intended to let lenders adjust policies and pricing without hard-coding or vendor intervention. These are announced plans and intended benefits, not demonstrated results.
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Navatros: credit unions in Ohio and nearby states
On August 27, 2026, Navatros, the business-solutions division of the Ohio Credit Union League, announced a partnership to introduce Fuse to credit unions in Ohio and neighboring states. The release describes lending and account opening, an AI-generated applicant point-of-sale, more than 200 prebuilt integrations, and hands-on support. It also says CommStar Credit Union had begun choosing Fuse. These details are claims in the partnership announcement.
The same Navatros-Fuse release says the share of the loan market held by credit unions could rise from 5% to nearly 40% in five years. It does not identify the underlying study or original data publisher, so the figure should not be treated as an established forecast.
How should a credit union evaluate an LOS?
Fuse is one option in a market that TechCrunch describes as including established providers such as nCino and MeridianLink, as well as AI-focused startups Casca and Glide. The report does not compare their products, so provider names alone do not establish which system is a better fit. A credit union assessing any LOS should compare the operational details that determine implementation risk and day-to-day performance:
- Coverage: Confirm the loan types, account-opening workflows, channels, and handoffs the system supports.
- Integration scope: Verify connections to the credit union’s core, third-party services, and any dealer or servicing systems it needs.
- Implementation and contract: Ask for a realistic implementation plan, total costs, contract duration, renewal terms, and exit provisions.
- Decisioning and automation: Understand which decisions are configurable, what AI agents can do, where staff review is required, and how exceptions are handled.
- Auditability and security: Review logs, data handling, access controls, security documentation, and the scope of any compliance claims.
- Service and proof of outcomes: Establish support commitments and request clearly defined, comparable evidence for claimed changes in conversion, cost, or automation.
The key question is not simply whether a system uses AI. It is whether the institution can verify that the platform fits its lending operations, integrates on acceptable terms, and produces measurable benefits without creating unacceptable implementation, compliance, or vendor-dependence risks.
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