Credit Kudos

Company Summary
Credit Kudos was an Open Banking credit reference agency that helped lenders assess creditworthiness using real-time transaction data. Its platform offered a modern alternative to traditional credit scores by analyzing real spending and repayment behavior. This enabled more accurate, inclusive, and affordable lending decisions.
The Problem
Traditional credit scoring is opaque, outdated, and based on limited data. It often excludes creditworthy individuals and relies on assumptions that fail to reflect a person’s real financial health. Lenders are left with incomplete risk profiles, which can lead to defaults, missed opportunities, and unnecessary costs.
The Solution
Credit Kudos positioned itself as a “challenger credit bureau,” using Open Banking data to build detailed financial profiles. It analyzed live bank transaction data alongside behavioral indicators like repayment history. This gave lenders a fast, accurate, and low-cost way to assess creditworthiness and reach a broader customer base. The platform integrated seamlessly into existing lending workflows.
Funding & Acquisition
Credit Kudos raised £5M in a Series A led by AlbionVC in 2020. In March 2022, the company exited to Apple in a deal reportedly valued at $150M, marking a strategic move into Open Banking and privacy-forward financial infrastructure.
Founders
Freddy Kelly
CEO
Freddy’s background is in Software Engineering, having studied Computer Science and Artificial Intelligence prior to founding Credit Kudos. Freddy started his career in Silicon Valley, as the first engineer at Bitnami (YC W13) and later at a16z-backed TXN, developing their transaction analytics platform. With extensive experience in developing high security performant web applications for Google, Microsoft and Amazon, Freddy has an intimate understanding of what is required to develop software at scale.
Matt Schofield
Founding CTO
Matt holds a degree in Computer Science from the University of Manchester. Before founding Credit Kudos, Matt spent 4 years at Universal Music Group working on data science and analytics, bringing technology into the heart of the music business.