The platform centers on EviAgent, a conversational tool that guides users through the complex lifecycle of data readiness. Rather than relying on manual intervention, the system assesses whether datasets meet privacy benchmarks and performs necessary de-identification or synthetic transformations within a single, unified workflow. This approach removes the typical bottlenecks associated with coordinating between data owners and privacy specialists.

Dr. Khaled El Emam, founder and CEO of Woodway Assurance, noted that the software addresses the tension between the urgent need for high-quality training data and the mandate to protect sensitive information. By embedding expert-level guidance directly into the interface, the platform allows teams to move from initial assessment to actionable, compliant data sets significantly faster. The release arrives as global regulators tighten requirements for documented evidence regarding how sensitive data is scrubbed before being deployed in AI models or shared across research initiatives.