---
title: "NEO Finance | HES FinTech"
url: "https://hesfintech.com/clients/neo-finance/"
updated: 2026-09-09
---

GiniMachine & NEO Finance

# NEO Finance achieves 81% of repayment rate

NEO Finance Group is a Lithuania-based fintech platform group providing a range of financial services across the European Union, the European Free Trade Association, and the European Economic Area. Its offerings include peer-to-peer lending, investment solutions, payment initiation, account information services, and other digital payment products.

Founded in

2014

Markets

Lithuania

Team size

10-50

Type

P2P finance

Website

[neofinance.com](https://www.neofinance.com/)

**81%** percentage of debts repaid

**50%** portfolio growth

**20%** decrease in NPL rate

Challenge

## Turning high application volume into reliable lending decisions

NEO Finance faced declining performance of its existing scoring models, resulting in high non-performing loan (NPL) levels, low approval rates, and increasing default risk.

To address these challenges, the company needed a new dedicated solution that would ensure consistent credit risk assessment and reduce default rates. With a large volume of incoming applications, it became critical to leverage AI-driven software to extract maximum value from customer data and support sustainable portfolio growth.

At the same time, the solution had to meet strict regulatory requirements, including compliance with anti-bias policies and regulations for stock-listed companies. Additionally, robust data storage and transfer capabilities were required to automate the credit scoring process, ensure data security and personal data protection.

Here at NeoFinance, the flow of incoming requests is huge, so it's vital for our business to wisely assess individual default risks. GiniMachine maximizes the value of our data. And that's exactly what we need to grow our client portfolio.

Evaldas Remeikis

Chairman of the Board at NEO Finance

Approach

## AI-powered credit scoring

Using GiniMachine, the client was able to build, validate, and deploy custom credit scoring models. These models evaluate loan applications based on flexible, user-defined parameter sets, enabling more accurate assessment of customer behavior and risk. On-premise deployment ensures compliance with data security and personal data protection standards.

As a result, the team gained greater transparency into borrower profiles and improved risk management.

Result

## Increased performance with lower default rates

AI-powered GiniMachine helped NEO Finance increase the number of approved applications while decreasing non-performing loans. The client achieved the expected loan portfolio growth rate, with the number of issued credits increasing by 50%, the NPL rate decreasing by 20% and the repayment rate reaching 81.01%.

[Download PDF version](https://hesfintech.com/wp-content/themes/hesfintech_eng/docs/cases/neo_finance_success_story.pdf)

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