Lend Faster. Stop Fraud Before You Disburse.

FinEye checks every bank statement, GST return and bureau report for tampering, hidden debt and inflated turnover, so your credit team approves genuine borrowers in minutes and stops risky ones before the money leaves your account.

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99%Data Extraction Accuracy

Where NBFC Losses Start

Most bad loans don't look bad on the application. The warning signs sit inside statements and returns that nobody has time to read line by line.

Edited Statements

Balances raised, salary credits added, bounces removed. A well-edited PDF looks genuine to the eye.

Inflated MSME turnover

Inflated Turnover

Money rotated between related accounts makes a small businesslook several times its real size.

Hidden loan repayments

Hidden Obligations

Informal loans and undeclared EMIs show up as bank debits long before they reach the bureau.

Delayed credit reviews

Slow Manual Checks

Reading every file by hand takes days, so good borrowers walk away while risky ones still getthrough.

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What FinEye Flags on Every Application

Each check runs automatically and shows up at the top of the report, with the transactions behind it.

Statement Tampering

Signs a PDF was edited after the bank issued it.

Missing Pages and Period Gaps

Statements cut to hide a bad month.

Bank statement with missing pages

Circular Transactions

Funds moving out and back in to inflate credits.

Related-party Transfers

Large flows to and from the promoter's own entities.

Transfers between related entities

Bounces and Returns

Cheque and ECS returns that point to stress.

Cheque and ECS payment returns

Undeclared EMIs

Loan repayments in the bank that don't match the bureau.

Turnover Mismatch

Declared GST turnover that the bank account can't support.

GST turnover differs from bank credits

Forged PDFs, Removed at Source

Fetch statements straight from the bank so there is no file to edit.

From Application to Decision, with Fraud Checks Built in

01
Bank statements, GST returns and bureau reports collected

Collect

Fetch statements by Account Aggregator consent, or upload PDFs, GST returns and bureau reports

02
Files checked for tampering and missing pages

Verify

PreAnalysis screens every file for tampering and missing pages before anyone spends time on it.

03
Banking, GST and bureau data cross-checked

Assess Risk

Banking, GST and bureau data are cross-checked against each other to surface what doesn't add up.

04
Risk flags and figures presented for decision-making

Decide

A report with risk flags on top lands in your LOS, every figure traceable to its source.

Six Layers line image of Protection on Every Loan File

Each product closes a different gap fraudsters use. Together they give your credit team one checked view of every borrower.

01PreAnalysis
The first line of defence. Every statement is screened the moment it arrives, so forged or incomplete files never reach underwriting.
✔️ Tampering signals
✔️ Missing pages and period gaps
✔️ Instant go / no-go
Explore PreAnalysis
02Data Parsing
Accurate data is what every fraud check depends on. Statements become clean, structured transactions with 99% accuracy
✔️ Transaction-level data
✔️ Consistent output across banks
✔️ Excel and API output
Explore Data Parsing
03Bank Statement Analysis
Finds what the borrower didn't tell you: rotated money, stressed accounts and repayments to other lenders.
✔️ Circular and related-party transactions
✔️ EMI, bounce and return detection
✔️ ABB, inflows and FOIR inputs
Explore Bank Statement Analysis
04GST Analysis
Stops turnover inflation. Declared sales are checked against GST returns and bank credits before you set a limit
✔️ GST vs bank turnover reconciliation
✔️ Filing gaps and irregular returns
✔️ Buyer and supplier concentration
Explore GST Analysis
05Credit Bureau Analysis
Exposes hidden debt by setting the bureau report beside real banking behaviour.
✔️ DPD history and enquiry spikes
✔️ Existing loans and obligations
✔️ Bureau EMIs matched to bank debits
Explore Credit Bureau Analysis
06Account Aggregator
Removes forged statements entirely. Data comes straight from the borrower's bank with their consent.
✔️ Bank-sourced, tamper-proof data
✔️ Fresh data at sanction and for monitoring
✔️ Flows straight into analysis
Explore Account Aggregator

Built for How
NBFCs Lend

From branch-led MSME lending to co-lending with banks, the samerisk checks run on every file.

MSME & Business Loans
Loan Against Property
Personal Loans
Working Capital

One Risk Standard Across Branches

Every branch runs the same checks, so a fraud that one office catches can't slip through another.

Credit-Memo-Ready Output

Risk flags and the evidence behind them sit at the top of the report your credit committee already reads.

Ready for Co-Lending

Share one verified report with your bank partner instead of underwriting the file twice.

Every Flag Comes With Evidenceline image

Your credit committee, auditors and regulator can trace each decision back to the transactions behind it.

Each risk flag links to the exact transactions that triggered it

Consent captured and logged for every Account Aggregator fetch

Data storage location and security certifications: confirm with compliance

Questions
NBFC Credit Teams Ask

logoHow does FinEye detect tampered or fake bank statements?
logoCan FinEye identify circular transactions and inflated turnover?
logoHow does FinEye identify undeclared loans and hidden obligations?
logoShould lenders use Account Aggregator data or PDF bank statements?
logoWhich banks and statement formats does FinEye support?
logoWhat does FinEye's 99% accuracy mean?
logoHow quickly can lenders receive a FinEye report?
logoCan FinEye integrate with our Loan Origination System (LOS)?
logoCan lenders use FinEye with their existing credit policies?
logoHow does FinEye handle borrower data and consent?
logoHow can lenders test FinEye before committing?

Further Reading on Lending
Fraud and Risk

Bank Statement Analysis for Lending: Metrics, Methods, and Red Flags for Indian Lenders

November 4, 2026 · 9 min read

Bank Statement Analysis for Lending: Metrics, Methods, and Red Flags for Indian Lenders

Shivam Jadon

Shivam Jadon

Digital Marketing Associate

Credit Underwriting for MSME Loans: Process, Models, and the Data Behind Each Decision

November 4, 2026 · 9 min read

Credit Underwriting for MSME Loans: Process, Models, and the Data Behind Each Decision

Shivam Jadon

Shivam Jadon

Digital Marketing Associate

What is an Account Aggregator for Lenders? Understanding Meaning, Features & Benefits

November 3, 2026 · 12 min read

What is an Account Aggregator for Lenders? Understanding Meaning, Features & Benefits

Shivam Jadon

Shivam Jadon

Digital Marketing Associate

See What FinEyeline image Would have Flagged

Send us a few past applications, including ones that turned bad. We'll run them through FinEye and show you the warning signs it catches.

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