We’ve evolved beyond fraud detection; offering a full-suite of data science driven products to aid in the modernization of Complex Litigation.
Bryan Heller is the Co-founder and COO of Covalynt and brings nearly 20 years of experience applying rigorous, high-stakes data analysis to complex, regulated problems. Based in New Jersey, Bryan began his career as an environmental consulting engineer in 2006, spending nearly two decades managing large-scale site remediation and landfill gas-to-energy projects—both of which demanded the processing and analysis of millions of data points under direct state and federal regulatory oversight.
In site remediation work, Bryan analyzed vast repositories of organic chemistry results to inform decisions with direct implications for human health and exposure to carcinogenic contaminants. In the energy space, he led the review of complex gas composition, flow, and emissions data to optimize onsite collection and production systems. In both disciplines, the analyses were formally regulated and subject to scrutiny by government agencies—requiring multiple lines of evidence to establish data quality and defensibility.
Outside of his engineering practice, Bryan pursued a parallel interest in human performance, coaching wrestling and earning a sports nutritionist certification. Applying the same data discipline he used in environmental work, he developed a fitness application for athletes that automated strength training and nutrition programming using AI-driven analytics—an early demonstration of his ability to translate complex data science into practical software solutions.
The convergence of these two threads—high-scrutiny regulated data analysis and applied software development—led Bryan to co-found ClaimScore in 2023 alongside Don Beshada. Recognizing that class action settlements faced many of the same core challenges as regulated environmental data—fragmented records, questionable data quality, and the need for defensible, reproducible methodology—Bryan helped architect the technical foundation for what has since grown into Covalynt's full litigation data science platform. As COO, he oversees product, engineering, marketing, customer success, and operations, and co-leads the company's sales efforts, ensuring that Covalynt's solutions are built, delivered, and positioned to meet the rigorous demands of modern 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
Covalynt began with a simple realization: complex litigation had become fundamentally data-driven, but the industry lacked the data-science rigor to keep pace. Attorneys were working with fragmented records, inconsistent class datasets, and legacy workflows that couldn’t scale to modern evidentiary demands.
Combining Don’s decades of experience in complex litigation with Bryan’s background in systems engineering, we set out to bring clarity and scientific structure to these challenges. ClaimScore became our proof of concept — an automated fraud-detection and eligibility-validation tool that revealed something bigger. Case after case surfaced the same systemic issues: unreliable notice data, messy class records, and identity-resolution problems too complex for traditional tools.
That insight expanded our mission. We built solutions like DeepValidation and ClassResolution, evolving from a single product into a comprehensive platform. Covalynt now reflects what we set out to create: the connection between legal expertise and engineered data science, delivering structure, clarity, and defensibility to every stage of complex litigation.
We combine legal expertise and scientific rigor to bring clarity, structure, and defensibility to every phase of complex litigation.
Founder | CEO
25+ years in complex litigation, navigating the realities of large-scale cases, high-stakes settlements, and the increasing complexity of class data.
Co-Founder | COO
Bryan’s foundation in systems engineering and applied data science, building solutions for large, fragmented datasets in other highly regulated environments.
