Grow originations without growing your risk
KoraConnect turns an applicant’s bank activity into verified income, real obligations and a risk score in under a minute, so your bank approves more of the borrowers it already sees and documents every decision for the exam.
Approve on ability to repay, not just history
The applicant didn’t change. Your view of them did.
Spot the risk patterns a credit report never records
A credit score tells you how someone paid in the past. Overdrafts, advances against pay and a balance that keeps going negative are visible only in the account, and independent research finds cash-flow data predicts risk as well as traditional scores.
Verify recurring income, not stated income or raw inflow
Every deposit and debit sorted into income, housing, debt and fees, with transfers and one-off credits taken back out, so the affordability figure is what the applicant actually earns.
Predict delinquency with a score trained on real outcomes
KoraScore reads the behavior on the account and puts it in one 300 to 850 number your credit team can set a cutoff against, trained on two outcomes: the first missed payments and the charge-off behind them.
Drops into the stack you already run
Your core, your LOS, your workflow. Our data infrastructure.
Decisions land in the screen your lenders already work in
Direct integration with your LOS or core system: by API, as a PDF for the credit file, or in a dashboard for the review team.
Applicants finish while they are still on the page
They link a bank in one tap or upload statements inside your existing application flow, and verified results come back before they leave it.
Start with a second look, not a rebuild
Run it on the applications your policy declines or refers to manual review, so the applicants you already approve see no extra step. One product, one branch, one channel, widened on outcomes rather than promises.
Built to pass your compliance review
Underwriting your examiner can read.
Consumer-permissioned data, or an upload when it is not
The applicant grants permission on every single run, and a statement upload lands in the same pipeline when a connection is unavailable.
The exact condition behind every threshold that trips
Adverse action notices are supportable from day one, because the condition and the value that crossed it travel with the decision.
Identity, income and account ownership, verified
They strengthen the customer checks your BSA/AML program already runs, and doctored statements get caught before funding rather than after charge-off.
A vendor package your third-party risk team can close
One independent SOC 2 Type II audit, and alignment to the frameworks that cover information security, consumer privacy and financial services.
- SOC 2 Type II
- ISO/IEC 27001
- NIST CSF
- PCI DSS
- GDPR (EU & UK)
- CCPA / CPRA
- GLBA Safeguards
- FFIEC
See the lift on your own funded loans before you sign anything
Kora runs the analysis on loans you have already closed, at no cost and with nothing signed. It reports where approvals could have been stronger and losses predicted. Send your declines too, and it counts how many carried income the analysis can verify.
The file your model risk review asks for
Interagency model risk guidance governs anything that scores an applicant. This is what Kora hands your model risk and fair lending teams for the file.
Know how the model was built, and on what
The population it was fit on, the features it reads, the target it predicts and the window it was trained over, written down rather than described.
Rerun any file and get the same number
Scores are deterministic and versioned. The same file through the same model version returns the same number, so the rerun your second line requests months later matches the score the loan was decided on.
Put every variable in front of your fair lending team
The full feature list and what each one measures, handed over so your own analysis can look for correlation with a protected class. The testing is yours.
Watch it after it is live, not only at approval
Score distribution and feature drift reported on the book you are actually running, so the review has something to re-open at.
What a credit desk asks first
The six that come up before a pilot.
01What happens to an applicant with a thin file or no score at all?
We don’t need a repayment history at all. We’re reading the applicant’s own bank account, which deposits show up regularly and how steady they are, what’s going out every month, and what kind of obligation each payment actually is. Give us twelve months of banking with zero tradelines, and you’ll still get a full file.
02Who owns the applicant’s bank data, and can another lender see it?
The applicant grants access every single time, whether they’re connecting a bank or uploading statements. We don’t pull anything from data furnishers, and we run a fresh analysis for each request; no other lender ever gets access to the file your applicant shared with you.
03Does KoraConnect replace the credit score we already use?
No. We hand back verified income, the obligations behind it, whatever risk signals we found, and a KoraScore; your credit policy decides how much weight any of that actually carries. Most banks start by just running it alongside their existing decision on one product.
04Does this add a step for every applicant?
No, and you decide where it shows up. Most banks start it as a second look, just on the applications the scorecard declines or kicks to manual review, so anyone your policy already approves sees zero extra friction and your top-of-funnel conversion doesn’t move. Rolling it out to a whole product comes later, once you’ve seen how that group performs.
05What does the integration work actually look like?
The lightest version isn’t really an integration at all: your team just creates a link from the dashboard, and the result shows up there a few minutes later. From there, you can embed the connection right into your own application flow, or call the API from your origination system and pull the file back automatically.
06Can it run on transaction data we already hold?
Yes. Statements or transaction exports you’re already sitting on run through the exact same pipeline and proprietary models as a live connection, and come back as the exact same report. The applicant doesn’t have to do anything extra.
07Is a statement upload weaker than a bank connection?
No, it gets the same analysis. We extract the uploaded PDF, reconcile the arithmetic from the opening balance all the way to the closing balance, and categorize every line the same way we would for a live connection. A connection’s just faster and covers more history, which is why we offer it first and treat the upload as the fallback.
Run it against loans you have already funded
Send 200 or more funded applications with the transactions or statements you held at underwriting and the outcomes since. We return the model lift, what the analysis would have caught, and the thresholds behind it. Add the applications you declined, which need no outcomes, and we size your second look with them.