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Replica Synthesis Software

Replica Synthesis software ingests real data and builds data synthesis models to generate high utility synthetic datasets.

Key features of Replica Synthesis include:


  • Synthetic Cohort Builder to query and integrate data from multiple data sources and generate synthetic variants of these cohorts.
     
  • Validation Server to re-run analytics code on the original data.
     
  • Produces a synthesis report which describes the data, methodology, the synthesis results, the utility results, and any limitations. The report template can be easily customized.
     
  • Customizable synthesis parameters.
     
  • Can be deployed on the cloud or on-premises. Clients do not have to share their data to synthesize it.
     
  • Comprehensive REST API for integration with multiple and varied front ends.
     
  • Generates detailed data utility results.
     
  • The software is built for small and large datasets.
  • SDKs supporting multiple data science and software engineering end-users.
     
  • Flexible synthesis plan specifications to handle complex datasets.

Data Synthesis

The basic functionality of Replica Synthesis allows the user to define a cohort from the source data and return a synthetic version of that cohort. A report summarizing the synthesis and the utility assessment is sent directly to the user.

Privacy Assurance

This workflow combines data synthesis and privacy assurance capabilities. The identity disclosure (privacy) risk is computed directly on the synthesized data when it is generated and the privacy assurance results are sent directly to the user.

Key Features of Privacy Assurance

Unique solution to evaluate the identity disclosure risk of synthetic data. If you are generating or using synthetic data, your legal team will want assurances that this synthetic data is not personal information. Replica Synthesis implements a complete assessment methodology for this type of risk specifically designed for synthetic data.

  • Empirically measures the likelihood that synthetic records can be matched to real individuals.
  • Produces a detailed report describing the risk assurance methodology as well as the results of the risk assessment.
  • Employs robust risk measurement models to evaluate the probability of matching synthetic records to real people under different types of attack.
  • The privacy assurance models also account for multiple types of privacy risks simultaneously.

Given the risks of not processing personal information properly under various legal regimes, privacy assurance gives you the compliance evidence needed.

Replica Synthesis Demos 

Get to know Replica Synthesis software through these demos based on real-world scenarios. 

Synthesizing a Dataset

Outlining a basic use case for a data analyst.

Synthetic Cohort Builder

Generating a synthetic dataset from a central repository.

Validation Server

Validating results of an analysis performed on real data.

For more information on Replica Synthesis software, please email info@replica-analytics.com