Detect claim fraud,policy abuse, and mule-linkedinvestment accounts.

Insurers and wealth managers lose millions to inflated claims, collusion, and mule-linked accounts. RaptorX reduces false positives by 40–50% and delivers audit-ready cases twice as fast.

Key Challenges

Fraudulent Claims

False or inflated insurance claims slip through fragmented systems and overwhelm manual review teams.

Mule-Linked Accounts

Wealth management and insurance accounts are quietly used by mule networks to clean illicit funds.

Insider Collusion

Internal actors collude with policyholders or external rings — a pattern often missed by legacy detection tools.

How RaptorX Solves It

Multi-Entity Linkage

Connects policies, claims, accounts, and transactions into one graph — exposing shared risk patterns.

Laundering Detection Without Labels

Detects complex laundering behavior using behavioral and relational signals, even in the absence of labeled fraud examples.

Explainable Context

Delivers rich case narratives and visual context, reducing false positives by 40–50% and enabling confident action by risk teams.

Impact Metrics

40–50% fewer false positives →in claim and wealth fraud

Multi-hop laundering rings detected →across insurance and investment accounts

Audit-ready case outputs generated →2× faster