GLOBAL ENTERPRISES THAT TRUST SYNTHETIC DATA
A web-based interface to generate synthetic data without writing a single line of code.
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Synthetic data generation
Having trouble gaining access to sensitive enterprise data? Use Statice software to generate anonymized synthetic data and make it available within hours without affecting compliance.
Fully synthetic data
Create new, entirely artificial datasets using your original data.
Multiple table support
Synthesize relational datasets with multiple tables and time-series data types.
Unique deep learning approach
Benefit from state-of-the-art deep learning models that adapt to your data and use cases.
Data usability preservation
Do traditional protection methods strip your data of valuable information? Maintain statistical properties in your synthetic data and conduct analysis with the same quality results as you would with the original data.
High-order statistical properties reproduction
Keep all the statistical details of your original data, from marginal distributions to aggregate statistics.
Out-of-the-box utility evaluation
Compare original and synthetic data for differences in statistical relationships and properties.
Machine learning evaluations
Analyze how machine learning models perform on synthetic data vs. original data.
Privacy risks mitigation
Removing sensitive attributes doesn't prevent reidentification or security breaches.
Integrate stronger, GPDR-compliant protection measures and make your customer's privacy a top priority regardless of the data operations you conduct.
Differential Privacy
Train your synthetic data using the most advanced privacy protection mechanism, and reduce the risk of reidentification.
Automatic PII detection
The PII detection mechanisms identify and treat PII columns like names, email addresses, credit card numbers, and IBANs with maximum security.
Privacy evaluation
Utilize our out-of-the-box reidentification risk assessment tools to verify that your synthetic data is safe from known privacy threats.
Limit data disclosure by exposing anonymized synthetic assets to the appropriate stakeholders.
Easily generate and use synthetic data without undergoing clearance systematically.
Analyze and document the privacy risks and disclosure levels of synthetic datasets using the Risk Assessment materials.
“We have recognised the challenges companies face when dealing with their data and are constantly designing new strategies and tools for this purpose. Thanks to Statice’s technology and methodology for data anonymization, companies can mine their data treasures in a GDPR-compliant manner.”
