What is synthetic data?
It’s new data created from an original dataset using generative AI.
Keep the statistical properties and characteristics of your original dataset and ditch the privacy and governance risk.
There are 6 steps to great synthesized data
Unleash the insight locked away in your data while ensuring you adhere to current and future regulations
Build datasets that adhere to your country’s regulations and your company’s internal governance
Differential privacy mechanisms deliver your data safely without compromising its value
Use the Howso Validator to score your synthetic data’s privacy and accuracy in real time
Synthesizer is ideal for industries held to high regulatory standards of responsible data usage
A Fortune 500 bank leans on Synthesizer to export critical business data out of countries whose localization rules prohibit customer information from leaving the country.
This empowers them to move data across geographies, into the cloud, and adhere to privacy regulations and governance policies.
A major European health organization uses Synthesizer to generate compliant data from billions of private records before purging them. This allows them to retain critical data insight that would otherwise be lost due to GDPR deletion requirements.
They can preserve the value of historical data and comply with privacy regulations.
Use Synthesizer to clean and anonymize datasets to train machine learning models.
Synthetic data in a sandbox environment allows you to test quickly and expedite development.