• Purpose: Resolves identities and uncovers relationships across disparate data sources for fraud detection, compliance, and risk management.

  • Identity Matching: Unifies multiple records to a single entity, improving data accuracy and reducing duplicates.

  • Relationship Analysis: Builds graphs of people, organizations, and transactions to detect hidden links and suspicious networks.

  • Real-Time Monitoring: Analyzes events and transactions to trigger alerts for potential fraud or unusual activity.

  • Applications: Used in financial services, government, law enforcement, and any organization needing entity resolution and network intelligence.

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