legacy workflows, and manual processes that were never designed to scale or withstand modern evidentiary demands.

We began this work with ClaimScore, developing a data science approach to fraud detection and eligibility validation. As we partnered with administrators and law firms on increasingly complex matters, a broader pattern emerged. Beyond fraud, cases were consistently shaped by unreliable notice data, fragmented identity records, and matching challenges that spanned the entire litigation lifecycle.

Over time, this work expanded into additional identity-focused solutions that use the same baseline technology while serving different needs across the case lifecycle. Our platform now includes ClaimScore, DeepValidation, and ClassResolution, each engineered to bring structure, accuracy, and consistency to complex datasets. Supported by a growing team of 15 data scientists and engineers, we are filling a critical gap that continues to widen as cases become more data-intensive.

Covalynt reflects the evolution of our company from a single anti-fraud product into a full-service data science platform purpose-built for Complex Litigation.