Money mules hide in plain sight across cards, wallets, and payment apps. RaptorX detects hidden mule networks early, before they can cash out funds.
Money mules are the silent enablers of fraud — laundering illicit funds across salary accounts, UPI IDs, wallets, and bank transfers. Whether passive (unaware), collusive (recruited), or complicit (willing), they exploit system gaps and camouflage inside legitimate activity.
Legacy systems miss them because they appear “normal.”RaptorX surfaces what others overlook — before the damage spreads.
Dormant accounts suddenly becoming active
Use of alias names with reused devices, IPs, or beneficiaries
Small-value bursts that avoid traditional thresholds.
Cross-channel movement (UPI → IMPS → wallets)
Recruitment via social media, jobs, or P2P messaging
Geo-concentration near colleges, factories, or agent branches
Catches salary or UPI accounts reactivated in fraud rings
Detects alias accounts linked by shared devices, IPs, or beneficiaries — even across banks.
Identifies burst transfers, circular flows, and 3-hop routing — classic mule patterns flagged within minutes.
Detects geo-clustered mule hotspots near branches, agents, or P2P sign-up zones.
Mules often split across aliases — our entity resolution connects what static KYC misses.
Flag accounts that shift roles suddenly — e.g., salaried to transactional within 1 day.
Catch and contain before ring expansion begins.
Feed into your compliance, risk, or fraud case queues seamlessly.
No need for labeled mule data — works from unlabeled behavioral anomalies
Detects first-time fraud, even if accounts look “clean”
Cuts false positives by 40–50% through contextual linkage
Enterprise-ready with fast scoring & multi-channel support
See how RaptorX catches mule accounts within days — not months.