AI case study

NequiCredit scoring

Creditworthy but credit-invisible: millions of Colombians locked out. Graph ML mapped their behavior instead, making them legible to lending.

Published

Key results

Credit Management Cost Reduction
50%
FAQ Accuracy
90%
Digital Portfolio Management
80%

Result highlights

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The story

Context

A Colombian mobile-first digital bank serving more than 28 million customers with no physical branches, operating in a market where millions of creditworthy people lack the borrowing histories required by traditional financial models.

Challenge

Millions of creditworthy Colombians have no borrowing history that traditional credit scoring can assess, making them effectively invisible to...

Solution
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Quotes

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The company

Digital wallet and neobank platform for mobile financial services in Colombia.

IndustryFinancial Services
LocationMedellín, Antioquia, Colombia
Employees251-1K
Founded2016

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Nequi's Credit scoring is part of this use case:

Predictive Analytics
55 case studies(+50% YoY)
Proven impact?
LowModerateVery Strong
7.9Strong
3.6Moderatewithin Financial Services

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