We’ve evolved beyond fraud detection; offering a full-suite of data science driven products to aid in the modernization of Complex Litigation.
Data-driven, backend claim analysis, in real-time.
Bulk review claims using data-driven backend analysis via file transfer.
Aggregated results from a data-driven backend analysis to gain case insights
Aggregated results from a data-driven backend analysis to gain case insights
During claims processing, fraudulent and ineligible submissions dilute settlement funds and expose administrators to scrutiny. Our data intelligence platform evaluates every claim with multi-factor precision—so only legitimate class members get paid.
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High-volume claims environments invite fraud rings, synthetic identities, and coordinated submission abuse. Traditional blocking methods reject valid claimants while letting sophisticated fraud through—diluting settlement funds, reducing class member payouts, and creating defensibility risk for counsel and administrators alike.
Our data intelligence platform applies multi-factor scoring using proprietary data to separate legitimate class members from fraudulent submissions with scientific precision—producing consistent, evidence-based eligibility decisions that withstand scrutiny from courts, administrators, and opposing experts.
The Anti-Fraud Triangle blocks fraud at the form, payment, and analysis stages—before it reaches the fund.
Bulk review claims after the claims period. Securely send claim files to ClaimScore and ClaimScore securely returns result files.
ClaimScore connected directly to digital claim forms and results sent directly to claims or client management systems, in real time.
Evaluate every submission through layered evidence signals to determine eligibility and identify fraudulent activity.
Incorporate our proprietary data to strengthen validation, confirm details and surface discrepancies.
Verify claimant identity and contact information to confirm legitimacy and ensure accurate attribution.
Identifies multi-entry fraud patterns, name variations, and shared contact attributes designed to bypass traditional checks.
Detect automation, anomalies, and suspicious behaviors using temporal and structural based signals.
Provide clear, case-ready explanations that document every flag, scoring input, and eligibility decision.
Discover how ClaimScore can safeguard your funds with a practical example, ensuring the class receives their rightful share.
