Syntho
4.64
0
Syntho generates high-quality synthetic data, preserving privacy and accuracy, with extensive support for various sectors.
What is Syntho?
Syntho is a self-service platform that uses artificial intelligence technology to generate high-quality synthetic data. This synthetic data is created to mimic the statistical patterns of original data while excluding sensitive personally identifiable information (PII). The platform offers features like the Syntho Engine for data generation, a PII scanner for privacy protection, and various pricing plans to suit different user needs.
In addition to data generation, Syntho provides extensive support to its customers through documentation, a ticket system for issue reporting, and a dedicated communication channel for personalized inquiries. The platform is designed to cater to various sectors such as healthcare, finance, and public organizations, facilitating faster software solutions delivery, robust data foundations, and product demos without compromising privacy and security.
Syntho ensures the accuracy and safety of the generated synthetic data through AI technology, which automatically substitutes sensitive PII to protect privacy. Users can also assess the quality of the data through an in-built quality assurance report and external validation by data experts from SAS. The platform offers smart de-identification features, supports time-series data synthesis, provides synthetic mock data generation, and caters to various data types through the Syntho Engine.
Who created Syntho?
Syntho was created by an individual or team associated with the company in 2024. The founder of Syntho, along with detailed company information, is not explicitly mentioned in the provided documents. Syntho is a synthetic data platform launched on June 17, 2024, providing services such as synthetic data generation, support features, and assistance in data de-identification and sharing. The platform caters to various sectors, offers quality assessment reports, supports time-series synthetic data, and prioritizes data security and privacy. For those interested, live demos can be scheduled to better understand the platform's capabilities.
Who is Syntho for?
- Healthcare professionals
- Finance professionals
- Public sector professionals
How to use Syntho?
To use Syntho effectively, follow these steps:
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Access Support Options:
- Utilize the documentation provided including user guides, manuals, FAQs, and tutorials.
- Use the ticketing system to report issues, ask questions, or request assistance.
- Opt for personalized support via a dedicated communication channel for direct assistance.
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Generate Synthetic Data:
- Leverage the Syntho platform to produce high-quality synthetic data reflecting original data patterns.
- Utilize the Syntho Engine for data generation, PII scanning, deployment, and integration assistance.
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Ensure Data Accuracy and Safety:
- Rely on Syntho's AI technology to maintain data integrity, ensuring privacy and safety.
- Use the PII scanner to automatically identify and modify sensitive information, bolstering security.
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Validate Data Quality:
- Assess the accuracy and speed of the generated synthetic data via the in-built quality assurance report.
- Opt for external validation by data experts from SAS for additional assurance.
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Utilize Synthetic Data:
- Apply synthetic data for software testing, data foundation building, and product demos across various sectors.
- Expedite decision-making, protect privacy, and validate data-driven solutions effectively.
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Explore Additional Features:
- Make use of time series data synthesis, smart de-identification, and rule-based data generation offered by Syntho.
- Schedule live demos to enhance understanding and usage of the platform.
By following these steps, users can effectively utilize Syntho's capabilities to generate high-quality synthetic data while ensuring data accuracy, privacy, and security. The platform's diverse features and support options cater to various user requirements in different sectors.
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
Cons
- No free trial
- Pricing plans unclear
- Limited data type support
- Might oversimplify complex data
- Reliability on external validation
- No explicit data security measures
Syntho FAQs
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Syntho reviews
Yuki Tanaka
March 4, 2025
What do you like most about using Syntho?
I appreciate the high quality of synthetic data it generates. The accuracy and the way it mimics original datasets without exposing any sensitive information is impressive.
What do you dislike most about using Syntho?
The user interface could be more intuitive; sometimes, it takes a while to find specific features.
What problems does Syntho help you solve, and how does this benefit you?
Syntho allows us to develop and test our applications without worrying about data privacy issues. This significantly speeds up our development process.
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Carlos Mendez
February 11, 2025
What do you like most about using Syntho?
The PII scanner is fantastic. It gives me peace of mind knowing that the generated data is safe and compliant with privacy regulations.
What do you dislike most about using Syntho?
Some advanced features require a steep learning curve for new users.
What problems does Syntho help you solve, and how does this benefit you?
It enables us to conduct thorough testing and analysis without compromising client data, which is crucial in the finance sector.
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Sofia Ivanova
February 8, 2025
What do you like most about using Syntho?
The ability to generate time-series data is a game-changer for our analytics projects. It allows for more accurate modeling.
What do you dislike most about using Syntho?
Occasionally, the quality assurance reports can be a bit overwhelming with too much information.
What problems does Syntho help you solve, and how does this benefit you?
It helps in generating realistic datasets for healthcare research while ensuring patient data confidentiality, which is paramount.
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