Fraud Detection
Surface risk signals before they reach the credit analyst.
Most lending fraud is invisible until someone spends 30+ minutes on a deal. Kaaj surfaces tampering, mismatches, duplicate submissions, and suspicious patterns at intake, before anyone invests time in analysis.
Book a demoDocument tampering detection
Altered bank statements, modified PDFs, inconsistent metadata. Forensic checks at the file level.
Name & address mismatches
Business name on the application vs. SOS records vs. bank statements vs. driver's license. Cross-checked and flagged.
Duplicate submissions
Same applicant, slightly different entity name, submitted to multiple departments. Detected and consolidated.
Suspicious web presence
No website, 2-day-old domain, no reviews, fake-looking business. Web presence signals scored and surfaced.
Document inconsistency
Invoice doesn't match equipment title. Tax return shows different revenue than bank statements. Flagged.
Pattern detection
Same phone, address, or bank account appearing across multiple unconnected applications. Surfaced as risk signal.
Cross-document signal scanner
3 signals need reviewWhy fraud slips through
Fraud investigations often begin only after credit analysis has already consumed time. By then, the team has spent 30–60 minutes reviewing documents that should have been flagged at intake. Kaaj moves fraud detection to the front of the workflow, before anyone opens a bank statement.
0 minutes
Time spent on deals that should've been flagged. Fraud detection runs before any human touches a file.