Diveplane is now Howso | Learn more about our new look
Diveplane is now Howso | Learn more about our new look
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
Only Synthesizer generates data using the Howso Engine, an alternative to black box AI built for human control and understanding.
With us, you can audit, edit, and verify your data.
(Nobody else can say that.)
Schedule a DemoThe Howso Synthesizer is the only truly explainable synthetic data platform, making datasets more insightful and AI/ML modeling faster
Our Synthesizer is powered by the Howso Engine, an alternative to black box AI
Explain exactly how your data is synthesized, fix errors or bias in the original data, and generate higher performing synthetic data
Howso’s auditability builds trust/buy-in from risk management and regulators, speeding up your model’s time to production
Fine-tune statistically accurate data that performs like your production data without the cost or headache
Adjust underrepresented or overrepresented variables within your data
Create any amount of data you need, even from sparse datasets
Synthesize from multiple, joined tables, time-series data, and forecasts
Condition and analyze data for hypothetical scenarios
Reproduce the same frequency of null values or replace null values with your own specifications
Customize generation of sensitive nominal data (e.g. names, addresses, telephone numbers)
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.
