Traditional flat-rate loan pricing fails to account for individual borrower risk, often resulting in suboptimal profitability and increased default rates. Glib.ai’s Risk-Based Loan Pricing solution uses AI and machine learning to dynamically assign interest rates based on real-time borrower risk assessment — enabling banks and NBFCs to maximize returns while ensuring regulatory fairness.

"GLIB.ai will help us assess merchant risk in a better and more efficient manner. With FinRay, we can quickly analyze key ratios from financial statements across multiple languages."

Francesco Garcia

Director - Merchant Credit Risk

Other Use Cases

Loan Origination Automation Borrower Profile Enrichment Risk Based Loan Pricing Loan Monitoring Loan Disbursement Automation Loan Servicing Automation

Trusted by leading businesses

Key Benefits

Personalized Loan Pricing at Scale: AI models evaluate each applicant’s financial health, credit history, income patterns, and repayment behavior to generate customized interest rates that reflect their true creditworthiness.
Optimized Risk-Reward Strategy: Lenders can price loans based on precise risk bands, improving portfolio health, profitability, and reducing non-performing assets (NPAs).
Real-Time Pricing Engine: Rates adjust dynamically as new data flows in — ideal for instant loan approval journeys or post-sanction repricing strategies.
Built-In Compliance Layer: Ensures pricing algorithms stay within regulatory boundaries (RBI Fair Practice Code, SEBI, and AML norms), protecting both lender and borrower interests.
Plug-and-Play Integration: Seamlessly connects to LOS, LMS, credit engines, and underwriting systems via secure APIs.