LoanReady.ai scores are grounded in official federal lending standards and peer-reviewed financial research. Every dimension we evaluate mirrors what real SBA-approved lenders look at when reviewing a small business loan application.
Why Our Score Is Trustworthy
Three things separate LoanReady.ai from generic loan calculators
Built on Federal Guidelines
Our scoring criteria are derived directly from official SBA underwriting standards, FDIC lending surveys, and Federal Reserve small business credit research — the same sources real lenders use.
Same 5 Dimensions Real Lenders Use
We evaluate Credit Profile, Cash Flow Health, Business Stability, Debt Load, and Loan Purpose Fit — the exact categories SBA-approved lenders weigh when reviewing applications.
Independently Tested for Accuracy
Our scoring model is regularly tested against benchmark profiles with known outcomes to ensure consistency and accuracy. We maintain a passing accuracy rate across all test profiles.
The 5 Dimensions We Evaluate
Each dimension reflects a real category SBA lenders evaluate during underwriting
Your personal credit history signals to lenders how reliably you repay obligations. We evaluate credit score range and bankruptcy history — the two factors lenders check first.
Source: SBA SOP 50 10 8
Lenders want to see that your business generates enough income to cover loan payments. We assess monthly revenue, consistency, expense ratios, and whether you have formal financial statements ready.
Source: SBA DSCR Requirement
How long you have been operating, your legal structure, and basic business infrastructure all signal stability and reduce lender risk.
Source: SBA Eligibility Guidelines + FDIC Survey
Your existing debt obligations directly affect whether you can afford a new loan payment. High debt-to-income ratios and certain debt types are major lender concerns.
Source: SBA DTI Threshold + 2025 MCA Rule
What you are borrowing for — and whether the amount makes sense relative to your revenue — determines which loan products you qualify for and how lenders assess repayment risk.
Source: SBA Eligible Use of Funds
Official Data Sources
U.S. Small Business Administration
SBA Standard Operating Procedure (SOP 50 10 8) — June 2025
Primary source for SBA 7(a) loan eligibility criteria, credit requirements, and loan purpose guidelines
View source →Federal Reserve — Small Business Credit Survey
2025 Report on Employer Firms
Source for loan denial rates, approval statistics by lender type, and borrower financial profile data
View source →Federal Deposit Insurance Corporation
2024 Report on the Small Business Lending Survey
Source for industry-level lending standards, collateral requirements, and underwriting criteria
View source →FICO Small Business Scoring Service (SBSS)
Business Credit Underwriting Framework
Framework for understanding how personal credit, business credit, and financial data combine for SBA loans. Note: SBA removed the SBSS as a mandatory prescreening requirement for loans under $350K effective March 1, 2026 (SBA Procedural Notice 5000-876777). Many lenders continue to use it voluntarily.
View source →Validated Against Real Loan Data
357,866
loans analyzed
9.25%
median approved rate
92.1%
repayment rate
LoanReady.ai's scoring model is calibrated against 357,866 SBA 7(a) loans approved between fiscal year 2020 and December 2025, sourced from the U.S. Small Business Administration's public FOIA dataset (data.sba.gov, updated January 30, 2026). This dataset informs three core scoring thresholds: the time-in-business adjustment reflects a 33% median loan size differential between businesses under two years old ($100,000) and established businesses ($150,000); the 9–13% APR range displayed in loan eligibility is consistent with the 9.25% median approved rate across the full dataset; and the charge-off rate of 7.9% among loans reaching terminal status — against a 92.1% paid-in-full rate — establishes the real-world repayment baseline against which borrower preparation is measured. Absence of collateral is the strongest structural predictor of loan default in our analysis — uncollateralized SBA 7(a) loans default at 15.9% versus 5.8% for collateralized loans (OR=2.969, p<0.001, controlling for loan size, business age, industry, and entity type).
Source: SBA 7(a) FOIA dataset, U.S. Small Business Administration, data.sba.gov, updated January 30, 2026.
Data & Model Disclosures
Puerto Rico is excluded from the SBA 504 state and industry benchmark display. Puerto Rico's 504 charge-off rates — 42.3% for retail, 25.0% for manufacturing, 22.2% for hospitality — are structural outliers that are 1.4 to 3.3 times higher than the next-highest continental state in the same industries. Puerto Rico's SBA 7(a) charge-off rate (2.17%) is simultaneously one of the lowest in the dataset, indicating that the 504 program in Puerto Rico reflects a distinct lending market, borrower concentration, or lender network rather than the broader Puerto Rico small business environment. Displaying these figures as regional benchmarks would mislead rather than inform Puerto Rico borrowers. The underlying data is retained in the full dataset and available in our methodology documentation.
The logistic regression model for SBA 504 loan performance (McFadden R²=0.034, n=35,836 resolved loans) explains substantially less variance than the 7(a) model (McFadden R²=0.196). This reflects the structural design of the 504 program: mandatory collateral requirements — commercial real estate or major fixed equipment — pre-screen the majority of default risk at origination. Observable borrower characteristics (industry, business age, entity type) explain little of the remaining variance because post-origination factors — property value changes, long-term business conditions, local market shifts — drive most outcomes. LoanReady.ai's 504 coaching reflects this by focusing on preparation behaviors that address post-origination risk rather than application-time borrower attributes. The 504 eligibility signals displayed to users are directional coaching informed by historical program patterns, not predictive indicators of individual outcomes.
SBA Express processing carries a raw charge-off rate of 10.1% in the FOIA dataset, compared to 5.7% for Standard Guaranty processing. This raw differential is explained by borrower profile differences — Express borrowers tend to be smaller, newer, and in higher-risk industries. Controlling for loan size, business age, industry, and collateral in logistic regression, Express borrowers default at substantially lower rates than Standard Guaranty borrowers (OR=0.365, p=8.51e-33). LoanReady.ai's coaching reflects the regression-adjusted finding rather than the raw rate, and does not characterize Express as a higher-risk processing path for borrowers of equivalent profile.
Federal Reserve SBCS data (2024 survey, employer firms) shows Healthcare and Education businesses have the lowest full approval rate (39%) of any industry tracked, despite healthcare businesses having the lowest SBA charge-off rate (4.9%) in the FOIA dataset. This reflects standard bank underwriting's treatment of reimbursement-cycle cash flow as volatility rather than predictable revenue — a pattern that resolves when borrowers apply to lenders with healthcare-specific experience. LoanReady.ai's +4 point Healthcare industry bonus reflects FOIA repayment outcomes, not bank approval rates. Users are coached to seek healthcare-experienced lenders accordingly.
Important Disclaimer
LoanReady.ai is an educational platform. Scores reflect analysis of self-reported data against published SBA guidelines and Federal Reserve lending benchmarks — they are readiness assessments, not approval determinations. Individual lenders apply their own underwriting criteria, which may differ from the thresholds modeled here. LoanReady.ai is not a licensed financial advisor, broker, or lender, and nothing on this platform constitutes financial advice. Consult an SBA-approved lender or licensed financial professional before submitting any loan application.