Carrington Labs Credit Risk Models & Cashflow Score

Carrington Labs is a credit risk and cash flow analytics business registered under Beforepay Group Limited (ASX: B4P) in Sydney, Australia. It helps banks, fintechs and other lenders score borrowers more accurately, especially applicants with limited bureau history, by learning from the lender's own data.

Lenders send application, bureau, bank transaction or portfolio data; the service classifies and normalises it, engineers features, then trains, validates and explains a lender-specific probability of default model with reason codes. Products include the Credit Risk Model, a Credit Offer Engine for limits and pricing, a 1-100 Cashflow Score built only from transaction data, a Financial Health Summary and Cashflow Servicing for post-origination monitoring. Outputs are delivered via API or batch and plug into decision engines such as Taktile, LoanPro and Oscilar.

• Credit Risk Model: Lender-specific probability of default with explainable reason codes.
• Credit Offer Engine: Recommends amount, term, rate and fee within policy limits.
• Cashflow Score: Standardised 1-100 score built only from bank transaction data.
• Financial Health Summary: Income, expense and stability metrics for in-house scorecards.
• Cashflow Servicing: Monitors the book after origination and flags repayment risk.
• Managed delivery: Proof of concept on de-identified data, validation and ongoing retraining.

A Vietnamese consumer finance company can pilot a cash flow score on a segment of salaried applicants with thin credit files. A digital bank can use the offer engine to set credit card limits and pricing. A lender serving household businesses can monitor repayment risk on its book after disbursement.

On sample anonymised data, Carrington Labs reports 30% more accurate scoring of high-risk customers, 2.5 times more accurate scoring of low-risk, high-value customers and 14% higher margins with integrated limit setting. Customer Kiva saw early arrears fall 58% year on year in Q2 2025. Models need no personal identifiers and return explainable reason codes for adverse action.

Open banking and consented transaction data are making cash flow underwriting a practical complement to bureau scores, especially for thin-file consumers and small businesses. As Southeast Asian markets build open API frameworks, lenders look for explainable models that can use transaction data while meeting model governance expectations.

A registered business of Beforepay Group Limited, listed on the ASX, with a registered address in Sydney. The Cashflow Score is available as a native app on the Snowflake Marketplace for Australian lenders. Technology partners shown include Taktile, Oscilar, LoanPro, LendAPI, GDSLink, Lendfoundry and DigiFi. Service is not offered in China, Russia or Taiwan.