Carrington Labs Brings Lending Solutions to U.S. Banking

By Roy Urrico

Sydney, Australia-based Carrington Labs wants to deliver its cash-flow underwriting and credit-risk-modelling solutions to the U.S. lending space, including credit unions, banks and fintechs. “Carrington Labs delivers a suite of credit risk solutions that span the entire loan lifecycle — from cash flow underwriting and product-specific credit risk models, through to limit and pricing optimization, to post-origination financial-health and early-warning monitoring,” Carrington Labs' Chief Commercial Officer Kasey Kaplan told Finopotamus.

Kasey Kaplan, Carrington Labs.

Commercially live since March 2024, Carrington Labs is accelerating the U.S. expansion of its artificial intelligence (AI)-powered software as a service (SaaS) platform. Their solutions provide insights (credit risk analytics and cash flow underwriting) to help lenders make more accurate lending decisions. It is compliant with U.S. regulations, offering a scalable solution for institutions seeking to upgrade their risk models without compromising transparency or trust.

“We work with a wide range of lenders, from financial institutions to fintechs,” said Kaplan. “While we haven’t publicly announced a credit-union yet, we recently confirmed an engagement with CCBank (Provo, UT; approximately $871 million assets),” said Kaplan. Carrington Labs also announced another U.S. customer, Doc2Doc Lending, and recent fintech partnerships with LendAPI, Taktile, and Oscilar.

Kaplan said Carrington Labs was also accepted into Mastercard’s Smart Path program, which helps future-proof corporate innovation strategies through connections within a global ecosystem; and has captured multiple awards including Best AI-Powered Credit Risk & Lending Solutions Provider 2025 (APAC Insider), Credit Risk Lending Solutions of the Year U.S. 2025 (World Business Outlook Awards) and Most Trusted Credit Risk Solution 2025 (Enterprise World).

AI-Powered Platform

Kaplan told Finopotamus the platform combines transaction, bureau and lender-specific data “to give every borrower a fair go while giving lenders confidence in portfolio performance. Our plug-and-play solutions integrate with existing platforms lenders use while lifting approval rates and widening margins."

Carrington Labs’ ready-to-use base models come pre-tuned for common products such as personal loans, according to Kaplan. “If a lender has historical data, we can ingest transaction records, bureau files, and other indicators to build product-specific models that match the institution’s risk appetite,” he said, adding that once a model is approved, a straightforward application programming interface (API) feeds the scores and recommended loan terms into the lender’s origination flow. “The result is faster, fairer, and more confident lending without heavy technical lift.”

Can Help Credit Unions

Kaplan explained, “Carrington Labs can help credit unions better understand a member’s financial health and creditworthiness. Our platform uses transaction data to identify income flows, regular bills, day-to-day spending—and blends it with any bureau or in-house information a credit union already holds.”

The Carrington Labs platform, he noted, helps lenders take a second look at borrowers typically facing a denial and can help support financial inclusion for segments such as recent immigrants, gig workers and other thin-file borrowers, while still driving profit and loss (P&L) performance. Thin-file borrowers have limited or minimal credit history, making it difficult for lenders to assess their creditworthiness.

“Based on anonymized data analysis, our platform demonstrates up to 250% greater accuracy than traditional credit scores in identifying low-risk borrowers with limited credit information,” said Kaplan. “This improvement allows lenders to safely broaden their lending criteria and approve more qualified applicants.”

Concluded Kaplan, “Our outputs are easy to integrate, which credit unions can leverage to modernize decisioning, deepen member relationships and advance their financial-inclusion mission, without a core-system overhaul,” said Kaplan.