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Meet Replica Synthesis
Our machine learning technology generates privacy-enhancing synthetic data that maintains the properties of real datasets. Replica Synthesis provides fast and effective access to high utility data while meeting regulatory obligations. Our methods include privacy assurance to ensure minimal privacy risks.
There is no one-to-one mapping between original and synthetic data, so data generated by Replica Synthesis is considered non-identifiable. Our solutions are scalable and will work with both large and small datasets.
Key Features of Replica Synthesis
We aim to make data synthesis and data sharing simple for end-users.
Synthetic Cohort Builder
Query and integrate data from multiple data sources and generate synthetic variants of the cohorts.
Scalable
The software is built for small and large structured data and can handle complex datasets.
Synthesis Report
Automate a synthesis report to describe data, methodology, synthesis and utility results, and any limitations.
Privacy Report
Automated privacy risk reports including the risk assessment methodology and results.
Software Development Kit
SDKs support multiple data science and software engineering end-users.
Integration Abilities
Comprehensive REST API for integration with multiple and varied front ends.
Data Synthesis & Privacy Assurance
Replica Synthesis is the future of data sharing and access. Our technology is innovative, trustworthy and privacy-enhancing.
Replica Synthesis Technology
Replica Synthesis is built to handle complex structured data to produce trustworthy, non-identifiable synthetic datasets.
Key Features of Replica Synthesis
- Machine learning tools and algorithms are employed to generate synthetic data from real datasets.
- The process is automated and generated quickly and at scale.
- Outputs include synthetic data and a report documenting utility characteristics.
- The utility assessment provides a comprehensive view of utility under realistic conditions and workloads.
Privacy Assurance
Privacy assurance technology provides the evidence needed to demonstrate compliance with various legal regimes.
Key Features of Privacy Assurance Technology
- Validated metrics are used to evaluate disclosures and privacy risks.
- Risk assurance methodology and assessment results are outlined in a detailed report.
- A state-of-the-art risk estimation model is deployed to evaluate data risk.
- Privacy assurance models cover multiple disclosure risks simultaneously.
Simulator Exchange
Through our Simulator Exchange, generative models created during the synthesis process can be saved as data simulators for data users to generate synthetic data on demand.
Key Features of Simulator Exchange
- Generate synthetic data without direct access to data.
- Share the “Model” instead of sharing data.
- Get the same results as if you had the original data.
- Privacy risks are minimized as only models are shared with data users.
Flexible Deployment
Replica Synthesis allows you to synthesize data anywhere with complete flexibility.
Cloud
Access our multi-tenant deployment of Replica Synthesis on the cloud.
On-Premises
No need to send data externally for synthesis.
Virtual Private Cloud
Deployed on your Virtual Private Cloud.
Explore the advantages of synthetic data in your organization. Find out more about Replica Synthesis today.
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