Syntho Engine - All synthetic data generation approaches in one platform

Syntho Engine All synthetic data generation approaches in one platform

What is Syntho Engine?

Syntho Engine is a comprehensive test data management platform that leverages the power of AI to generate high-quality synthetic data. It offers a range of features, from data masking and PII scanning to AI-generated synthetic data and upsampling. The platform supports various data types and connectors and provides options for deployment, making it a versatile choice for organizations across industries.

The platform is designed to mimic statistical patterns of original data. The Syntho Engine prioritizes compliance and privacy in all operations and can be deployed in the safe environment of customers so that (sensitive) data never leaves the safe and trusted environment of the customer. The final synthetic data is approved by the data experts of SAS.

Features

AI-Generated Synthetic Data: Mimic statistical patterns of original data in synthetic data with the power of artificial intelligence.
Data Masking: Protect sensitive information by removing or modifying personally identifiable information (PII).
PII Scanner: Automatically detect sensitive data types.
Time-Series Synthetic Data: Generate realistic time-series data.
Upsampling: Enhance data quality by upsampling.
Synthetic Mock Data: Complement real data with fake data using 150 mockers.
Consistent Mapping: Ensure consistent data representation.
Quality Assurance Report: Automated reporting on the quality of the synthetic data.
Rule-Based Synthetic Data: Generating synthetic data by a rule-based approach.

Use Cases

Test data generation
Data analytics
Product demos
Data sharing
Data monetization
AI modeling
System migration support

FAQs

What is the pricing model for Syntho platform?

Syntho’s pricing depends on a features and has a license model. Usually we start with 1 year license agreement and include some timeline for platform evaluation.
What kind of support are you providing during customer onboarding?

Syntho’s pre-sales and support teams are dedicated to ensuring a seamless onboarding experience for customers during the initial phase. We offer hands-on guidance to help users to learn the platform, understand its functionalities, and tailor the synthesis approach based on specific use cases.
What types of connectors are provided by Syntho?

PostgreSQL, SQL server, Oracle, My SQL, Databricks, IBM DB2, Hive, MariaDB, Sybase, Azure Data Lake, Amazon S3.
What data types does Syntho support?

The Syntho Engine works best on structured, tabular data (anything that contains rows and columns). Within these structures, we support the following data types: Structures data formatted in tables (categorical, numerical, etc.), Direct identifiers and PII, Large datasets and databases, Geographic location data (like GPS), Time series data, Multi-table databases (with referential integrity), Open text data, Complex data support. Next to all regular types of tabular data, the Syntho Engine supports complex data types and complex data structures such as Time series, Multi-table databases and Open text
Are any specific skills necessary to use the Syntho Engine?

Not at all. Although it may take some effort to fully understand the advantages, workings and use cases of synthetic data, the process of synthesizing is very simple and anyone with basic computer knowledge can do it.