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Data Launcher

Detailed analytics allowed plend to lend to people who would normally have been excluded.

£640 average saving for customers.


According to research by PWC, 20 million UK adults are held back by inaccurate credit data, and so Plend were looking to go beyond traditional credit scoring by combining open banking data with credit bureau data for fairer loans with a lower default rate. They turned to 173tech to set up their infrastructure which could handle the big data sets involved.


Open banking data includes far more background information about an applicant, including their transaction history and spending. These large sets of data needed to be combined with more traditional credit bureau data and then quickly analysed for level of risk and potential loan value. We set up a data stack from scratch that could easily scale without heavy cost implications, and then modelled the two data sets, integrating them into Plend’s analytical infrastructure.


Our work helped to fund more than £8m in fairer loans in Plend’s first year of operations and paved the way for them to start hiring their own data team in-house. By adopting open banking data they significantly decreased their default rate and identify pre-arrear customers, helping to stop them from falling behind with their debt repayments. This project is a great example of where 173tech did the heavy lifting on implementation, allowing Plend to hire a smaller in-house resource.


“As a startup it was amazing to be able to tap into the talent at 173tech, and having them set up our infrastructure meant we could hire a Data Analyst instead of a full team.” James Pursaill, CTO and Co-Founder

Tech Stack

AWS, Snowflake, Fargate, Metabase, Custom Python Extractors

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