Detect Duplicate & Fraud Data
Find duplicate records and suspicious data in your database before they create downstream problems.
Duplicate and fraudulent data causes problems that accumulate invisibly: the same customer appearing twice, a supplier entered under two slightly different names, a profile with copied photos and implausible details. Standard database deduplication catches exact matches; AI-based detection catches the near-matches that a rule set misses.
We connect deduplication and anomaly detection to your existing database — running as a batch process on your current records or as a real-time check on new entries. Flagged records are queued for human review, not deleted automatically — so your team makes the final call on ambiguous cases.
Detection we build
Near-Duplicate Detection
Same entity under slightly different names, addresses, or contact details — caught across your database.
Profile Anomaly Detection
Profiles with implausible details, copied photos, or inconsistent information flagged for review.
Transaction Fraud Signals
Transaction patterns that don't match your history surfaced before they become a problem.
Real-Time Entry Checking
New records checked against existing data at the point of entry — not in a monthly clean-up.