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Your credit will be evaluated accurately with TEM AI Credit.
TEM AI Credit provides a next-generation credit evaluation system that integrates both traditional and alternative credit scoring.
It is an automated decision-making system that combines application data, financial transactions, and alternative data.
Using TEM AI’s proprietary technology, algorithms, and risk-management framework, it significantly enhances scoring accuracy.

We generate over 300 variables from mobile and social data, capturing relational, psychological, and behavioral patterns to estimate a customer’s willingness to repay.

With user consent obtained through the app or web, we collect over 12,000 dimensions of unstructured data from mobile, email, SNS, and other sources.

Through iterative machine learning using Lasso Models and Greedy Forward Selection, we identify the most predictive set of variables.

Using nonlinear transformation, normalization, and decision-tree analysis, we detect outliers and variable interactions, creating refined and derived features.

To validate model stability, we randomly split the data into five groups for cross-validation and conduct additional out-of-sample testing.

Through extensive iterative experimentation, we determine the machine-learning algorithm that best fits the development dataset.