Comparison

Carrington Labs vs. Zest AI

Carrington Labs and Zest AI both provide custom credit models. Carrington Labs goes further by combining cash flow and traditional credit data, engineering features for the lender's own portfolio, including retraining as new outcomes become available, and connecting risk to amount, term and price through the Credit Offer Engine.

At a glance

Dimension
Carrington Labs
Zest AI
Custom models
Yes — built around the lender's own product and outcomes
Yes
Standardized cash flow score
Yes — Cashflow Score, a standardized transaction-based risk score
No standardized cash flow score listed
Cash flow specialization
Core capability
Not a core cash flow product
Model data
Application, bureau, product, internal performance and transaction data
Lender data and approved data sources
Decisioning focus
Model outputs fit existing systems
Underwriting automation and deployment
Offer optimization
Dedicated Credit Offer Engine
No dedicated offer engine listed
Explainability
Yes, borrower-level drivers and governed outputs
Yes
Model retraining included
Yes, model updates and retraining are included
Unknown

Evaluating Zest AI?

Run the comparison that matters. A challenger benchmark on your own historical outcomes shows how each approach separates risk on your portfolio — before you commit to either.

Why Carrington Labs is the stronger fit

A broader credit analytics capability

Carrington Labs offers:

The Credit Risk Model remains the core enterprise product. The other products extend the same risk analytics capability into faster cash flow scoring, explainable borrower metrics, offer optimization and post-origination decision support.

Advanced feature engineering and included retraining

Carrington Labs' core technical strength is feature engineering: converting raw cash flow, bureau, application, product and repayment data into lender-specific predictive signals. When a model is retrained, Carrington Labs can incorporate new performance history, revisit the target and build additional features where the expanded data supports them. Retraining is included in the managed service rather than treated as a separate model-build project.

Offer optimization is explicit

The Credit Offer Engine goes beyond approval risk ranking. It combines probability of default, expected loss, revenue, funding and direct costs, expected take rate, price elasticity and lender constraints to recommend amount, term and price.

Built for more lending environments

Carrington Labs supports banks, credit unions, fintech lenders, non-bank lenders, embedded-finance programs and specialist lenders across consumer and small-business credit. It offers a standardized Cashflow Score, custom Credit Risk Models, Financial Health Summary metrics, Credit Offer Engine and post-origination Cashflow Servicing.

Why lenders choose Carrington Labs

Carrington Labs is built for lenders that want:

Advanced feature engineering
across cash flow, bureau, application and internal performance data.
A lender-specific model
calibrated to the product and portfolio.
Included retraining
and the ability to engineer additional features as the portfolio develops.
A dedicated Credit Offer Engine
for amount, term and price.
Model development and strategy
aligned to approval, delinquency, loss or margin objectives.

Your portfolio data stays client-specific

Carrington Labs applies client-specific data boundaries to custom engagements. Proprietary lender data remains within that lender's model-development and validation process and is not pooled into another lender's custom model, subject to the governing agreement.

The commitment is straightforward:
For custom model engagements, proprietary lender portfolio data remains within the lender-specific model-development and validation process and is not pooled into another lender's custom model, subject to the governing agreement.

More comparisons

Benchmark a custom model on your portfolio

Use anonymized historical outcomes to compare risk separation, calibration and the expected commercial impact of a Carrington Labs challenger model.

Comparison based on publicly available product information as of July 2026. Third-party names and trademarks belong to their respective owners. Carrington Labs is not affiliated with or endorsed by the companies referenced unless expressly stated.