£1.5m · Other round · Fintech · Manchester, UK
Crediflow AI, a Manchester fintech automating commercial-loan analysis, has raised £1.5m in funding led by NPIF II – PXN Equity Finance, managed by PXN Ventures, with Haatch and angel investors participating. The lead investor says the capital will accelerate platform development, support engineering and product hires, and help the company serve more banks and specialist lenders.
Underwriting capacity is the customer problem
Commercial credit teams pull borrower accounts, bank transactions and supporting documents from PDFs, spreadsheets, email and legacy systems. Crediflow structures that information, analyses cash flow and produces the memo a credit committee uses to assess a loan. The platform is designed to fit each lender's policies and templates rather than replace the final decision.
The commercial mechanism is capacity. Manual preparation costs do not fall just because a business asks for a smaller loan, so lenders can find lower-ticket cases uneconomic to assess. PXN says Crediflow can reduce data aggregation from days to 10–30 minutes. That is a company-reported performance claim, but if it holds across varied borrower documents, credit teams can spend more time investigating risk and less time rebuilding inputs.
From a point tool to credit infrastructure
Crediflow says hundreds of credit professionals across the UK, Europe and the US already use the platform, with customers ranging from specialist lenders to captive-finance teams. The new product plan extends automation from origination and underwriting into ongoing monitoring, bringing more of the loan lifecycle into one workflow.
That expansion raises the execution bar. A memo generator can be reviewed deal by deal; infrastructure spanning origination and monitoring must preserve source traceability, policy controls and consistent outputs over time. Crediflow says every output links back to source data and leaves the human in control. The financing gives the company room to build those controls into more workflows, while the commercial proof will be whether lenders can increase volume without adding the same proportion of operational staff.
