use cases

Underwrite thin-file and cash-flow-driven small businesses

Evaluate sustainable business cash flow where revenue is variable, financial history is limited, or business and personal activity are intertwined.

The problem

Small-business underwriting is difficult because many businesses do not fit a standardized financial profile. Microbusinesses, sole proprietors, freelancers, and newer firms may have limited formal business credit history, variable or seasonal revenue, incomplete financial statements, cash flow spread across multiple accounts, and personal and business activity in the same account, often for relatively small financing amounts that do not justify a lengthy manual review. The problem is not only that these businesses are thin-file; it is that traditional documentation and general-purpose scores may not give a current, structured view of how the business generates, retains, and uses cash.

How Carrington Labs can help

Identify business cash flow patterns
Assess recurring revenue, seasonality, concentration, volatility, expenses, obligations, and liquidity.
Turn activity into risk signals
Use transaction categorization and modeled features to summarize patterns relevant to repayment risk, combined with your application, bureau, and internal data.
Support consistent underwriting
Provide probability-of-default estimates, risk scores, segments, and explainable drivers instead of unstructured statement review.

How this fits in your workflow

Magnifying glass on an ID.
Application underwriting
Use modeled cash flow signals alongside application, bureau, and internal data.
A Computer.
Analyst review
Provide interpretable metrics and drivers instead of requiring analysts to read raw transaction feeds.
A Person giving a pitch infront of a graph.
Offer sizing and repeat lending
Assess whether the proposed amount and repayment structure fit observed cash flow, and use prior performance for returning customers.

Who is this for

Carrington Labs supports lenders aiming to responsibly expand access.
  • Digital lenders
  • Issuers
  • Fintechs
  • Financial Institutions

What Carrington Labs provides

Inputs it can use
Business transaction and account activity, application and bureau data, and internal performance data. Account coverage and data freshness are assessed as part of the work.
Outputs it returns
Probability-of-default estimates, risk scores or segments, revenue-stability and cash flow volatility indicators, liquidity and concentration measures, and borrower-level drivers.
A note on data coverage
One connected account may not represent the whole business. Model outputs and analyst workflows flag when the available data may give only a partial view.

FAQs

Why is small-business underwriting difficult?
Small businesses vary widely in operating model, revenue patterns, documentation, time in business, and account structure. Many also have limited formal credit history or intermixed personal and business finances.
Does Carrington Labs require formal financial statements?
Not necessarily. The available data may include application, bureau, internal portfolio, transaction, and financial information. Requirements depend on your use case and model design.
Can the model handle seasonal revenue?
Seasonality can be assessed where the available history is sufficiently long and representative. Short transaction windows may not capture a full seasonal cycle.
Can one bank account represent the entire business?
Not always. Account coverage is an important limitation. Model outputs and analyst workflows should identify when the available data may provide only a partial view.
Does Carrington Labs make the loan decision?
No. Carrington Labs provides risk analytics and model outputs. The lender controls policy and final decisions.

Related resources

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Explore solutions

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Summary