Zest AI

Zest AI is a machine learning platform built specifically for credit underwriting, helping lenders make more accurate and equitable lending decisions by replacing traditional credit scoring models with AI that evaluates thousands of data signals rather than a handful of FICO score components.

The platform enables banks, credit unions, and fintech lenders to build, validate, and deploy ML-based credit models that approve more borrowers while maintaining or reducing default rates.

In published case studies, Zest AI clients have increased approval rates by 15-25% while simultaneously reducing losses, because the AI identifies creditworthy borrowers that traditional models reject due to thin credit files or non-traditional financial histories.

The platform's fairness testing capabilities are particularly notable: every model is stress-tested for disparate impact across protected classes including race, gender, and age, with automated debiasing techniques that improve fairness without sacrificing predictive accuracy.

Zest AI handles the full model lifecycle from development through regulatory compliance, producing the documentation and explainability reports that bank examiners and regulators require. The ZAML platform provides reason codes for every decision, ensuring compliance with adverse action notice requirements under the Equal Credit Opportunity Act.

Zest AI serves banks and credit unions ranging from community institutions to top-20 national lenders. The platform is priced as an enterprise SaaS license with fees typically tied to the volume of lending decisions processed, reflecting its position as critical infrastructure rather than a productivity tool.