Protect digital-firstinstitutions against onboardingfraud, synthetic IDs, andmulti-channel abuse.

Neobanks face rising losses from synthetic identities and promo abuse, costing millions in revenue leakage. RaptorX detects 70% more onboarding fraud and prevents $5M+ annually in fake account losses.

Key Challenges

Synthetic Identities

Fraudsters use fake personas created with real and fabricated data to onboard and transact — bypassing traditional KYC filters.

Onboarding Fraud

Bad actors create multiple accounts at scale using disposable devices, emails, and phone numbers — exploiting sign-up offers and product flows.

Multi-Channel Abuse

Fraud spreads across cards, wallets, P2P transfers, and APIs — coordinated across devices and identity layers, hard to detect in real time.

How RaptorX Solves It

Identity & Device Graphing

RaptorX links device fingerprints, IPs, SIMs, and behavior to detect synthetic identities and multi-account fraud with precision.

Real-Time Pattern Alerts

Flags onboarding and transactional abuse using unsupervised pattern recognition — even before account activity becomes risky.

Investor-Grade Explainability

Generates clear insights and visual context to support internal teams, regulators, and investor risk reviews.

Impact Metrics

Detects 70% more onboarding fraud →vs. traditional risk scoring

Saves $5M+ annually in synthetic ID →and promo abuse losses

Enables faster compliance with clear →explainable case intelligence