Explore AI-generated synthetic data platform for data-driven solutions.
Syntho
What is Syntho
Syntho is a self-service platform specializing in the generation of synthetic data to accelerate data-driven solutions. Synthetic data mimics the statistical patterns of original data, substituting sensitive personally identifiable information (PII), making it invaluable for privacy-conscious segments like healthcare and finance. Syntho’s software offers several options for test data management, enabling users to generate synthetic data based on rules and constraints, de-identify and synthesize test data that reflects production data, and create representative subsets from a relational database. Beyond data generation, Syntho is also capable of smart de-identification, using an AI-powered PII scanner to automatically identify and modify sensitive data. Users can assess the quality of generated synthetic data in terms of accuracy and speed, with external validation available from SAS. The platform also offers time series synthetic data synthesis and synthetic mock data generation capabilities, preserving the integrity of relational data ecosystems despite alterations. The platforms ‘Syntho Engine’ supports a variety of data types and offers features such as deployment and integration assistance, and source data and target environment connectors. User documentation and support are provided to guide usage, while live demos are available for those seeking visual assistance with the tool.
Pros And Cons Of Syntho
Pros
Generates synthetic data
Self-service platform
Extended support features
Ensures accuracy and safety
Useful for product demos
PII scanner feature
Useful for data-driven solutions
Generates rule-based data
Ability to de-identify data
Supports various datasets
Offers time-series synthetic data
Designed for different sectors
Provides user documentation
Offers live demos
SAS validated the quality
Preserves data ecosystem integrity
Deployment and integration assistance provided
Fast and high-quality data generation
Aids in data de-identification
Enables privacy-preserving data sharing
Supports experimentation and prototyping
Facilitates system migration scenarios
Test data management options
Quality assurance report for assessment
Cons
No free trial
Pricing plans unclear
Limited data type support
Might oversimplify complex data
Reliability on external validation
No explicit data security measures
Limited on-premise deployment support
No specific market focus
Limited advanced feature set
Heavily reliant on user-set rules
Pricing Of Syntho
FQA From Syntho
What is the Syntho platform and what does it do?
Syntho is a self-service platform that generates high-quality synthetic data using artificial intelligence (AI) technology. Synthetic data, acting as an alternative to real-world data, allows for the construction of strong data foundations, the creation of enhanced product demos, and the acceleration of application testing-all without infringing on privacy or confidentiality. Syntho's platform supports various features, including the Syntho Engine responsible for data generation, a PII scanner for tackling sensitive information exposure, and offering several pricing plans to meet diverse user requirements.
How does Syntho generate synthetic data?
Syntho leverages AI to generate synthetic data that mirrors the statistical patterns found in original data. These artificial data sets are made devoid of sensitive personally identifiable information (PII), making them suitable for sectors requiring privacy, like healthcare and finance. Users have the option to produce synthetic data according to certain rules and constraints, creating test data reflecting production data, and forming smaller representative subsets from a larger relational database.
What is the Syntho Engine and what does it do?
The Syntho Engine is the core of Syntho's synthetic data generation. It creates synthetic data, compatible with diverse data types and complex structures like time series data. It also comes equipped with extended features such as deployment and integration assistance, and connectors for source data and target environment. Along with these, options for quality assurance, external validation by data experts from SAS, time series data synthesis, and synthetic mock data generation are also offered.
How does the Syntho AI ensure the accuracy and safety of the generated data?
Syntho employs AI technology to uphold the integrity, safety, and accuracy of the synthetic data it generates. Even as it mimics the statistical patterns of original data, sensitive personally identifiable information (PII) is carefully substituted to preserve privacy. It also offers an AI-powered PII scanner that automatically identifies and modifies sensitive data, adding an extra layer of security. An external validation by SAS is available, allowing users to assess the quality of the synthetic data in terms of accuracy, privacy, and speed.
In what use cases can Syntho's synthetic data be utilized?
Syntho’s synthetic data can be utilized in various business scenarios like faster software solutions delivery, building robust data foundations for analytics, resolving data sharing challenges, creating impressively tailored product demos, unlocking potential revenue by using synthetic data for privacy-compliant insights, and enabling rapid prototyping and hypothesis validation before real data request performance. It helps sectors such as healthcare, finance, and public organizations to benefit from higher quality, faster, and privacy-compliant data.
Can I trust the synthetic data generated by Syntho?
Yes, synthetic data generated by Syntho is trustable. The platform has mechanisms in place to ensure the accuracy, privacy, and speed of the data generated are of high quality. External validation is also available from SAS to further attest to its high accuracy. Furthermore, the AI-powered PII scanner substitutes sensitive data with synthetic data, ensuring privacy and confidentiality.
What sectors can benefit from Syntho's synthetic data?
Syntho's synthetic data can provide significant benefits across a range of sectors including healthcare, finance, and public organizations. It allows these sectors to expedite testing applications, build robust data foundations, and create impressive product demos without compromising privacy or revealing sensitive data. Moreover, through using synthetic data, these sectors can quickly validate assumptions and experiment with data-driven solutions.
What career opportunities does Syntho offer?
Syntho offers various career opportunities for aspirants interested in working in the sphere of synthetic data. The platform provides information about its team, company values, and the integral role each team member plays in delivering this innovative service.
What pricing plans does Syntho offer and how does a subscriber choose?
Syntho’s pricing plans are designed to cater to the varying needs of subscribers. It operates on a monthly license model based not on the volume of data produced, but the features that users require. The aim is to generate unlimited data at a fixed price, allowing organizations to choose the plan that best fits their needs.
What is the PII scanner that Syntho offers and how does it work?
The PII scanner offered by Syntho is an AI-powered tool designed to identify sensitive personal information within datasets or databases. This scanner works to prevent the exposure of sensitive personal information, automatically identifying and modifying such data, thus providing an additional layer of security to the synthetic data generation process.
How does Syntho's synthetic data speed up data-driven tech solutions?
Syntho's synthetic data can significantly speed up data-driven tech solutions by providing an instant, high-quality data source for testing applications, building strong data foundations, and creating next-level product demos, all without compromising privacy or confidentiality. Since the data generated by Syntho mimics the statistical patterns found in original data, teams can operate knowing that their decision-making or research is based on accurate, reliable data.
How does Syntho handle sensitive personally identifiable information (PII)?
Syntho treats sensitive personally identifiable information (PII) with utmost priority. It substitutes sensitive PII with synthetic data that mirrors the statistical patterns of the original data. Further, it offers a Smart De-Identification feature and an AI-powered PII scanner that automatically identifies and modifies sensitive data, ensuring no sensitive personal information is exposed.
What options for test data management does Syntho offer?
Syntho provides a range of options for test data management such as de-identification and synthetization, rule-based synthetic data generation, and subsetting (creating a smaller, representative subset from a large relational database). These options enable users to create, maintain, and control representative test data for non-production environments.
What is smart de-identification in Syntho?
Smart De-Identification in Syntho involves protecting sensitive information by removing or modifying personally identifiable information. It uses an AI-powered PII scanner to identify PII automatically, thus preventing the exposure of sensitive personal information through datasets or databases.
Can I assess the quality of generated synthetic data in terms of accuracy and speed with Syntho?
Yes, Syntho provides options to assess the quality of generated synthetic data in terms of accuracy and speed. It has an in-built quality assurance report, and for further validation, it offers an external evaluative check by the data experts of SAS.
What is time series synthetic data synthesis in Syntho?
Time series synthetic data synthesis in Syntho involves accurately synthesizing time-series data with Syntho. This feature allows it to handle complex data structures and ensure integrity across time-bound data series despite alterations.
What is synthetic mock data generation in Syntho?
Synthetic mock data generation in Syntho involves the substitution of sensitive personally identifiable information (PII), Protected Health Information (PHI), and other identifiers to generate mock data that accurately mirrors the statistical patterns of original data while maintaining privacy.
What types of data are supported by the Syntho Engine?
The Syntho Engine supports a variety of data types. It is optimized to handle the most complex structures, such as time series data, thus ensuring it can cater to diverse datasets depending on the specific user needs.
What kind of user documentation and support does Syntho provide?
Syntho provides adequate user documentation to guide usage of its platform. To ensure users have an optimal experience, it offers comprehensive guides, whitepapers, blogs, and case studies. Additionally, users can register for live webinars or explore archived sessions.
Can I schedule a live demo to understand the tool better at Syntho?
Yes, Syntho offers the ability to schedule a live demo with their experts. This feature allows users to understand the nuances of the tool better and witness its working in real-time, enhancing their understanding and enabling better usage of the platform.
