Overview

Theorem Marketplace Lending analyzes vast data with machine learning to identify high-quality loans from online platforms and then pools capital from institutions to invest in them. Its process combines statistical credit models with qualitative insights to price loans and select investments, with a focus on short-duration notes that have lower default risk. By relying on quantitative analytics and disciplined credit selection, it aims to reduce losses and generate steady yields across economic cycles, such as preferring wedding loans to business loans. Its goal is to provide institutional investors with predictable, risk-adjusted returns through data-driven credit analysis.