Fraud Finder

Document fraud risk prevention, made simple.

Instantly identify fraud in any financial document whilst digitising transaction & account information into a standardised format.

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Trusted by

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10%

Up to 10% of financial applications contain fraud. 91% of the fraud we flag comes in the form of modifications to financial documents.

£700m

Losses due to UK financial fraud in the first half of 2022. This is only set to increase as more people turn to loans and credit to pay for basic bills.

100 minutes

In-house risk teams spend up to 100 minutes assessing one credit application and are prone to human mistakes.

Reduce fraud risk & operations costs with automation

Assess credit risk by authenticating financial documents instantly. Approve more great customers and businesses.

Identify fraud on any financial document from around the world

Bank statements, utility bills, payslips, business accounts, IDs, tax returns and more.

Verify documents
Validate the authenticity of any document
Machine learning algorithms

Train our algorithm on documents you typically see to further increase accuracy

Comprehensive & instant

The document's structure, properties, font, software and meta data are all scrutinised instantly

Versions history analysis

See every edit made in previous versions of each document side by side

Cost-effective

Charged per file, not per page & unlimited users allowed at no extra cost

Digitise PII and transaction data into standardised code

Convert bank statements into JSON or CSV format

Transaction analysis

Standardise data to feed your own affordability algorithms

Bank balance reconciliation

Automatically reconcile bank balances and transaction history to ensure everything add up

Account information analysis

Retrieve & compare account holder information from (Account number, address, sort code etc)

Verify income

Analyse frequency and accuracy of income sources

Approve applications with much greater speed and accuracy

Get in touch today to reduce fraud risk & operations costs

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