Syntho

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.

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.

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.

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.

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.

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.

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.

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.