Comparison

Carrington Labs vs. Clarity Services

Clarity Services provides alternative credit bureau data, reports and scores. Carrington Labs can use Clarity data alongside cash flow, traditional bureau, application and internal performance data to build and retrain a lender-specific Credit Risk Model.

At a glance

Dimension
Carrington Labs
Clarity Services
Alternative credit bureau data
Can use as an input
Yes
Custom lender-specific model
Yes — built around the lender's own product and outcomes
No
Cash flow underwriting
Yes — a core specialization
No
Combines bureau, cash flow, application and internal data
Yes — tested and combined in one model
No
Advanced lender-specific feature engineering
Yes — engineered from the lender's own data and outcomes
No
Retraining included
Yes — included in the managed service
No custom lender model
Client-specific custom-model data boundaries
Yes — lender data never pooled into another lender's custom model
No custom lender model
Commercial objective alignment
Yes — aligned to approval, loss or margin objectives
No
Amount, term and price optimization
Yes — through the Credit Offer Engine
No
Works with existing decisioning systems
Yes — outputs fit existing decisioning workflows
Yes

Already using Clarity Services?

No conflict. A Carrington Labs model is built from whatever proves predictive for your portfolio — bureau, application, cash flow or internal performance data. Clarity attributes you already receive can simply be among the inputs tested, where your data rights allow.

The core difference

Clarity provides an additional data source. Carrington Labs turns that and other available data into a lender-specific risk model, then applies the resulting probability of default to approval and offer decisions.

Clarity Services supplies alternative credit data drawn from activity reported by participating alternative-finance providers. It provides information about borrowing activity reported by participating alternative-finance providers.

Carrington Labs can use Clarity data, traditional bureau data, cash flow data, application information and the lender's own repayment history within one custom model. The result is a lender-specific probability-of-default estimate built around the lender's product and observed outcomes, rather than another standalone report or generic score.

Why Carrington Labs is the more complete solution

Data becomes a model, not just another report

Additional bureau data creates more value when it is tested, engineered and combined with the lender's other predictive data. Carrington Labs engineers the relevant variables, tests their predictive contribution and combines them with other available data in one model.

Built for the lender's product

Carrington Labs calibrates the model to the lender's product mechanics, customer population, performance definition and risk strategy. A bureau score or report is standardized across users.

Cash flow underwriting adds current behavioral information

Carrington Labs can combine alternative bureau history with customer-permissioned transaction data to capture liquidity, stability, obligations, volatility and other cash flow behaviors that may not appear in a credit report.

Retraining is included

As more repayment outcomes become available, Carrington Labs can retrain the model and engineer additional features where the data supports them. Retraining is included rather than treated as a separate model-build engagement.

From risk to the right offer

Carrington Labs' Credit Offer Engine can use the model's probability of default together with expected loss, take rate, price elasticity, costs and lender constraints to recommend amount, term and price.

Why lenders choose Carrington Labs

Carrington Labs is built for non-prime and specialist lenders that want:

A lender-specific model
rather than another generic score.
The ability to use Clarity or other bureau data
without being limited to it.
Cash flow and traditional data
in the same model.
Advanced feature engineering
Retraining included
as the portfolio grows.
Client-specific custom-model data boundaries
A model aligned to approval, loss or margin objectives
Offer optimization
beyond a risk score.

Client-specific data boundaries

For custom model 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:
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.

More comparisons

Test what alternative data is really worth in your portfolio

Test Clarity and other available data within a model built around your own repayment outcomes and commercial objectives.

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.