Banking & credit analytics · Zest AI, Inc.
Zest AI
Machine-learning credit underwriting platform that helps lenders build more predictive, explainable and fair-lending-compliant scoring models.
Zest AI automates the building of machine-learning credit-underwriting models and, distinctively, the explainability work regulators require around them: adverse-action reason codes, fair-lending and disparate-impact testing, and champion/challenger comparisons against a lender's existing scorecard. It targets banks and credit unions replacing hand-built logistic-regression scorecards with ML models without losing the auditability those older models had. The platform connects to a lender's loan origination system and existing bureau feeds (Experian, Equifax, TransUnion) rather than replacing them, and includes monitoring to catch model drift after deployment. It is narrower than FICO Platform or nCino: Zest AI focuses specifically on the underwriting model itself, not the surrounding workflow or origination process.
At a glance
| Vendor | Zest AI, Inc. |
|---|---|
| Pricing model | Quote only |
| Free tier | No |
| Deployment | Cloud |
| Open source | No |
| Best for | Banks and credit unions replacing traditional scorecards with explainable machine-learning underwriting models. |
Pricing
Enterprise licensing by lender size and model volume; not published.
Pricing has not been verified yet — see the vendor's site.
Features
- Automated ML model building for credit underwriting
- Adverse-action reason-code generation for regulatory compliance
- Fair-lending and disparate-impact testing
- Model validation and post-deployment drift monitoring
- Champion/challenger comparison against existing scorecards
- Integration with loan origination systems and bureau data
Integrations
Profile last reviewed September 21, 2026