Create a General-Purpose Generative Model for
Apply the Synthesized SDK to automatically create a generative model for any datasets to bootstrap data where the density of data is low, automatically reshape data as you like, and even anonymise data for repurposing.
Automatic On-Demand Generative Models of Structured Data for Any Task
Automatic Data Upsampling and Bootstrapping for Backtesting, Cross-Validation and More with No Hassle
Data reshaping and manipulation
Multiple scenarios that allow for thorough model testing
Unlimited volumes of data on demand
Solving Data Imbalance with Generative Models
Comprehensive Data Science Tools to Enable Robust Data Imputation and Increase Model Performance
Can accurately represent your intended population, resulting in more accurate and robust models
Automatically generate accurate data points for datasets with missing values or outliers at scale
Imputation User Guide
Privacy and Anonymity
at the Core
Generate required volumes of anonymous data from generative models
Create models with in-built differential privacy
Robustness against complex attacks such as linkage attacks and attribute disclosure
Configure privacy parameters within the SDK to meet your organisation’s needs
Is Anonymization Really Private?
Integrates into Everything
Whether you are a data engineer, data scientist or machine learning researcher, the SDK can be easily integrated into your existing workflows for ETL, data preparation and model training. It’s all set and ready to use.
Develop with Synthesized
Synthesized Generative Models: 10X the performance, 0 risks