Covalynt provides data‑science‑driven identity solutions for class actions and mass torts, helping legal teams create accurate, defensible class definitions and maintain high‑quality claimant data. Its platform includes a de‑duplication engine, contact‑validation pipeline, and fraud‑detection models delivered via secure, low‑latency APIs that integrate with existing case‑management systems.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Class actions and mass tort litigations often suffer from fragmented defendant data, duplicate records, outdated contact information, and fraudulent claim submissions. These data quality issues lead to inaccurate class definitions, poor notice deliverability, and loss of settlement funds, undermining the fairness and efficiency of complex litigation.
Solution
Covalynt (formerly ClaimScore) provides a suite of data‑science‑driven identity solutions tailored to class actions and mass torts. Its ClassResolution product de‑duplicates and consolidates defendant data to create defensible class definitions. DeepValidation cleans and updates claimant contact information to ensure reliable notice delivery and compliance with due‑process obligations. ClaimScore applies machine‑learning models to detect fraudulent or ineligible claim submissions, protecting settlement funds and fee awards. All solutions are delivered via secure APIs that integrate with existing case‑management and intake systems, offering real‑time scoring or batch processing while maintaining SOC 2‑compliant security standards.
Target Audience
Primary customers are legal teams and law firms handling class actions and mass tort litigations, as well as corporate counsel and litigation support providers that manage large claimant databases.
Features
- ClassResolution engine that merges fragmented defendant records, removes duplicates, and generates validated class rosters
- DeepValidation pipeline that enriches and verifies claimant contact data using proprietary matching algorithms
- ClaimScore fraud detection model that scores submissions for eligibility and flags suspicious activity
- Secure, low‑latency API for real‑time or batch integration with claims and client management platforms
- SOC 2‑audited infrastructure with regular vulnerability assessments and penetration testing
- Customizable scoring thresholds and reporting dashboards for legal teams to monitor data quality and fraud risk