Solution

Syntheticus offers you the latest in privacy-enhancing technology

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Technology

Synthetic Data

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In essence

Synthetic data is artificially-generated, yet anonymized data that mimics the original data

statistical properties

Statistical Properties

Synthetic data mimics the original data by learning the correlations and thus keeping the same statistical distributions as the original data

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Data Augmentation

Synthetic data can be scaled to any size and it can be sampled from unlimited times, making it highly efficient

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No Re-identification

Synthetic data being fully anonymized cannot be reverse engineered, as is the case with pseudonymization

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Cost efficiency

Generating synthetic data is cost effective when compared to alternatives such as data curation or data masking.

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Exemption from fines

Being truly anonymous, synthetic data is compliant with existing regulations and exempt from potential fines and penalties

Product

How It Works? 4 Simple Steps

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Datasets

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    Tabular

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    Relational Databases

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    GeoSpatial

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Engine

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    Model training

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    Synthetic data generation

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Validation

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    Original Vs. Synthetic

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    Statistical tests

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    Machine Learning tests

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Reporting

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    Quality report

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    Full benchmarking

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Use Cases

Various Fields Of Applications

Internal sharing

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Cloud Migration

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Company-wide sharing

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Data Retention

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AI Training

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Analytics

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Product Development

External sharing

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Cross-company sharing

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Collaborative Research

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Open Data

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Data Sandbox

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Competitions/ Hackathons

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Data monetization

Outlook

Gartner predicts that...

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WE TAKE PRIVACY SERIOUS. WE DON’T ANALYZE SITE USAGE AND ONLY USE COOKIES THAT ARE ESSENTIAL FOR THE WEBSITE TO WORK!