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Quantexa

Decision intelligence platform using network graph analytics to detect insurance fraud, AML risks, and complex claims schemes.

Introduction

Quantexa provides a Decision Intelligence platform that uses entity resolution and network graph analytics to connect disparate data sources and surface hidden relationships indicative of fraud, financial crime, and risk. In insurance, carriers use Quantexa to identify organized fraud rings, claims manipulation, and underwriting anomalies that rule-based systems miss. Network analytics catches the organized rings that per-claim fraud detection misses — the connections give the scheme away, feeding far stronger SIU referrals.

Key features: Entity resolution linking customers, claimants, and third parties · Network graph analytics for fraud ring detection · Claims anomaly and collusion detection · AML and financial crime screening · Integration with existing carrier data lakes and systems

Pros: Network analytics reveals complex fraud patterns invisible to individual record analysis · Applicable across fraud, AML, underwriting, and customer analytics · Handles large, messy enterprise data with strong entity resolution · Proven at scale with major financial services and insurance clients

Cons: Enterprise product with significant implementation investment required · Overkill for smaller carriers with limited data volumes · Pricing not publicly listed

Pricing: Quote-based, not publicly listed.

Best for: mid-large carriers

Audience: carrier

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