Core Insights - Covalynt has evolved from a single anti-fraud product into a comprehensive data science platform tailored for complex litigation, reflecting its rebranding from ClaimScore [1][3] - The company now offers an integrated suite of products designed to address complex data challenges throughout the litigation lifecycle, including ClassResolution, DeepValidation, ClaimScore by Covalynt, and Bespoke Data Solutions [2][4] Product Offerings - **ClassResolution**: Aids in discovery by creating a unified, audit-ready class dataset, ensuring class membership can withstand judicial scrutiny [7] - **DeepValidation**: Enhances and validates class contact data, improving deliverability and notice strategies while maintaining a transparent process [7] - **ClaimScore**: Retains its original fraud detection capabilities, utilizing AI-driven scoring to identify fraudulent claims while preserving legitimate ones [7] - **Bespoke Data Solutions**: Provides custom workflows and data science solutions for unique case challenges, addressing complex data issues [7] Industry Context - The legal industry is increasingly data-driven, yet it has not fully adapted to the rigorous data science requirements of modern litigation [3] - Covalynt's tools have been utilized in high-profile cases involving major technology and consumer brands, showcasing its relevance and effectiveness in the field [5][8] - The company's methodology has expanded beyond fraud detection to include class data engineering, notice optimization, and ongoing analytics, enhancing the efficiency and fairness of litigation processes [6]