SynthStudio

Among Generative AI's most compelling applications is the generation of synthetic data, a process critical to overcoming the challenges of data privacy, scarcity, and imbalance. Central to this endeavor is SynthStudio, a sophisticated generative model designed to produce high-quality synthetic tabular data, reflecting the nuances of real-world datasets while ensuring privacy and enhancing data utility. Generating data instances that mimic the distribution of real datasets is achieved through advanced ML techniques, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. This solution generates synthetic tabular data, preserving privacy and matching original features while allowing unlimited rows. It enables analytics when data is scarce, using CS & KS tests for statistical validation and assessing privacy by comparing distances between synthetic and original data observations.