Catch the fraud
before the money moves.
Upload the trade documents behind a financing request. The DocAI engine reads every page, cross-checks the trade chain, hunts for tampering and duplicate financing, and returns a single Trade Authenticity Score with a clear disposition — in seconds, not days.
Ingest the presentation
These three documents were submitted in support of the financing request. Load them into the engine to begin analysis.
Reading every document
The engine classifies each document, then extracts structured fields with per-field confidence. No manual keying.
One trade, three stories
Every field is reconciled across the invoice, the carrier's bill of lading and the warehouse receipt. Agreement is expected — divergence is the signal.
Beyond the numbers
Mismatches can be honest errors. These three checks separate clerical noise from intent: tampering forensics, price anomaly, and duplicate-financing detection.
🔬 Document tampering — Warehouse Receipt High
Error-Level Analysis (ELA) and FFT residual scan localise where the document's compression fingerprint breaks. The Quantity Stored field was re-saved separately from the rest of the page.
📈 Price anomaly Medium
Invoiced unit price is screened against the 30-day market reference for HMS 1&2 (CFR SE Asia). A material premium with no contractual basis is a classic over-invoicing / TBML signal.
🔗 Duplicate financing Critical
The invoice is hashed (SHA-256) into a document fingerprint and checked against the shared financing registry — the same method used in industry de-duplication networks. No document content is exposed.
computing…
Trade Authenticity Score
Every signal is weighted into one defensible number, with the full reasoning attached for the audit trail.