Catch the pattern, not the noise.
WIDTH watches every transaction, every customer, every counterparty — continuously. The AI surfaces genuine laundering typologies and pre-drafts the SAR. Your team reviews signal, not static.
WIDTH watches every transaction, every customer, every counterparty — continuously. The AI surfaces genuine laundering typologies and pre-drafts the SAR. Your team reviews signal, not static.
Fixed thresholds miss the novel and flag the familiar. AI-native monitoring reasons about behaviour in context.
Every detection model is versioned, documented, and reviewable by your risk committee.
Graph-based detection surfaces deposit structuring, funnel accounts, and layering across account networks — including mule rings that cross institutions.
Explore detection →
Every customer re-screened as lists change. Historic matches audit-logged.
See coverage →Invoice-value anomalies and phantom shipping flagged against live trade data.
See TBML →Chainalysis and Elliptic signals fused with your core ledger — one view.
Explore crypto →Every flagged case ships with a draft narrative, cited evidence, and policy references.
How cases work →We went from 40,000 alerts a month to 2,000 — and the 2,000 are the ones that actually matter. Our investigators stopped resigning.
30 minutes. We'll run the AI over a slice of your historic alerts and show you what real false positives look like.