Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
FintechWerx Acquires Ruby Loans AI Lending Platform
July 8, 2026 | NCFA Market Activity | SME Finance And Business Banking, Artificial Intelligence And Data, Payments And Money Movement, Digital Identity And Trust, Risk Compliance And Regtech
Canadian Fintech Expands AI Native SME Loan Origination For Credit Unions
On July 7, 2026, Vancouver-based Canadian fintech company FintechWerx International Software Services Inc. announced that it entered an intellectual property and technology asset purchase agreement to acquire Ruby Loans, a small and medium sized Canadian business lending platform.
FintechWerx agrees to acquire the technology from 1431575 B.C. Ltd., an arm’s length vendor. Closing is still subject to the usual conditions, including corporate, regulatory and Canadian Securities Exchange approvals.
FintechWerx is paying up to $825,000. The package includes $100,000 in cash on closing, 728,862 common shares at a deemed price of $0.6174 per share, and up to $275,000 in milestone payments through additional shares.
Ruby Loans is positioned as an AI native loan origination infrastructure for credit unions and other financial institutions, helping prepare decision ready SME loan files before human underwriting review.
Ruby Loans Adds SME Origination To FintechWerx
While the purchase price is modest, the operating problem is not.
The OECD’s 2026 Canada SME financing profile says small business lending in Canada reached $160.1 billion in 2024, up from $134.8 billion in 2023. Small businesses represented 11.7% of total outstanding business loans.
Statistics Canada reported that 25.7% of Canadian SMEs requested debt financing in 2023. The most common products were business credit cards, lines of credit and term loans.
SME finance is often judged by capital availability, while the borrower experience depends on workflow. A lender can have capital and still lose time to incomplete files. A business can need liquidity and still get stuck in repeated document requests. Also worth noting that SME loan competition in Canada is currently under review.
That kind of friction is costly in the current climate. Tariffs, input costs and uncertain demand are putting pressure on many Canadian SMEs. CFIB reported in March 2026 that 68% of Canadian small business owners continued to say they were negatively affected by U.S. tariffs.
FintechWerx Adds AI Native Loan Origination
FintechWerx already provides merchant onboarding, payment processing, identity verification, fraud mitigation and data services. Ruby Loans adds AI native SME loan origination technology to that platform.
Ruby Loans automates borrower intake, document collection and policy based pre screening before a lending officer reviews an application. The platform includes a configurable policy rules engine, automated applicant interview and Accept, Review or Decline dashboard.
George Hofsink, CEO of FintechWerx, said about the acquisition:
"Represents a strategic expansion of our financial infrastructure capabilities" and "creates significant opportunities to enhance the Ruby Loans platform through our data, analytics and AI initiatives."
Ruby Loans Targets Canadian Credit Unions
Credit unions have local relationships and member trust. They also face capacity limits. Small business lending can take time because the files are messy, the borrower story is specific and the final human oversight credit judgment takes time.
Ruby Loans targets the file preparation burden at the credit union level. The borrower starts the inquiry. The platform collects information, applies the institution’s policy rules and prepares a more complete file before the lending officer reviews it.
NCFA recently covered a similar partnership with Conexus backing JUDI.AI for credit union SME lending. JUDI.AI is a separate company, but the signal is aligned. Canadian credit union channels are looking for SME lending tools that improve speed without weakening underwriting discipline.
Fred Zdan, founder of Ruby Loans, said he built the platform to simplify a lending process that has been complex and time consuming for borrowers and lenders. FintechWerx also plans discussions to appoint Zdan as executive chair and CEO of FinanceWerx Solutions Inc., a wholly owned subsidiary.
AI Lending Depends On Better Borrower Files
The agentic AI claim only is only as good as the data and evidence given to lenders. The opportunity is decision support, not autonomous credit approval (yet).
AI won't fix a poor intake workflow either. Missing documents, weak identity checks and scattered borrower data make analytics less reliable. Structured borrower files give lenders a better base to work from.
For regulated lenders, AI can help flag gaps, apply policy rules and route files. Human review still has to carry the credit judgment.
FintechWerx’s existing fraud and identity capabilities could become relevant here. Online SME lending needs speed, but it also needs trust. NCFA unveiled this in How Fraud Broke The Old Rules Of Trust And Verification, which looks at how digital fraud is forcing financial firms to strengthen identity checks, transaction monitoring and verification controls. SME lending faces the same challenge as more borrower activity shifts online.
Talking Point
Can Canadian credit unions use AI native loan origination to speed up SME credit while keeping human judgment at the centre of underwriting?
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