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Mimic (sensitive) data with AI to generate synthetic data twins

Rule-Based Synthetic Data

Generate synthetic data to mimic real-world or targeted scenarios using predefined rules and constraints

  • Formula-Based Synthetic Data
  • Pattern-Based Synthetic Data
  • Subsetting
Data
Masking

Protect sensitive information by removing or modifying personally identifiable information (PII)

  • PII Scanner
  • Synthetic Mock Data
  • Consistent Mapping
AI-Generated Synthetic Data

Mimic statistical patterns of original data in synthetic data with the power of artificial intelligence

  • Quality Assurance Report
  • Time Series Synthetic Data
  • Upsampling

Seamless deployment in your environment

Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer. This allows you to synthesize at the source where the original data is stored so that data never leaves your safe environment and that Syntho never sees, receives or processes any data.
Accordingly, the Syntho Engine and can be easily deployed and plugged into your environment of choice.

Seamless deployment in your environment

How to connect to data?

How to connect to data?
01
Connect to source data

Syntho enables you to easily connect with the source data that is stored in your source environment. The source data is the data that you would like to synthesize and the Source Environment is the location where the source data is stored, which could be a database or filesystem.

02
Connect to the target environment

Syntho enables you to easily connect with the target environment. The target environment is the environment where you would like to write the generated synthetic data, which could be a database or filesystem.

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Optimize test data with synthetic data

Decrease bugs in production

Enrich test data with edge cases

Build better products & increase sales

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