MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202441101475 A) filed by Privasapien Technologies Private Limited on December 20, 2024, for A System And A Method For Privacy Preserved And Fair Synthetic Data With Proofs.
Inventors include Vaishnav; and Abilash Soundararajan.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: A system and a method for privacy preserved and fair synthetic data with proofs is disclosed. The system a processor, and memory with instructions to: receive seed data with differing schemas; combine samples into a schema-consistent dataset by reconciling names, types and missing semantics; encode columns by characteristics to optimize representation; predict training requirements (batch size, learning rate, convergence) to optimize training; convert encoded data to training format; train generative models to produce synthetic records preserving statistical relations; sample models to produce records that maintain mathematical consistency with key statistics; generate proofs validating fairness and accuracy between synthetic and real records; assess privacy and fairness risks via attribute sensitivity and representation ratios and use results to guide parameters and sampling; and present via a user interface about job statuses, fairness indices, privacy scores, utility metrics and volumes to a user for governance. FIG. 3
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