SquareGen
AI credit scoring for lenders — uses fewer data points than traditional models while improving approval rates and risk assessment.
| What is it | AI credit scoring for lenders — uses fewer data points than traditional models while improving approval rates and risk assessment. |
|---|---|
| Pricing | Paid |
| Platform | API |
| API | Yes |
| Best for | scoring small business loan applications, assessing risk for consumer lending |
| Domain registered | 2024 |
Data updated Aug. 1, 2026
What does SquareGen do?
SquareGen is a credit scoring tool built on fine-tuned large language models (LLMs). It is designed for banks and lenders who need to assess the risk of loan applicants. The core promise is straightforward: it can match or beat the performance of traditional models like XGBoost while requiring significantly less data from applicants. This means lenders can ask for fewer pieces of information, which can lead to more completed applications and lower data acquisition costs, all while maintaining a tight control on default rates.
How does it work? You provide SquareGen with your historical, labeled credit data. Their team trains a custom LLM on this dataset. Once deployed, you can send new applicant data to their cloud API or a self-hosted SDK to receive a credit score, a risk classification, and a detailed explanation. The explainability is a key differentiator; instead of just SHAP values, it uses the model's native attention layers to generate a semantic narrative about the risk factors. The system is built for security, offering SOC2 compliance, data sovereignty options, and deterministic outputs to ensure scores are reproducible and auditable.
This tool is for financial institutions looking to modernize their underwriting. Real-world results from clients show it can increase the number of approved users by 5% or more from the same pool of applicants, simply by identifying good risks that older models missed. It's particularly useful for teams that want to reduce application friction, cut scoring costs, or gain deeper insights into why an applicant was scored a certain way, all within a regulated financial framework.
Key features
What makes it stand outWho is SquareGen for?
Who benefits most from this toolTrust & presence
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