Syntho is a game-changer AI-driven platform designed to generate synthetic data. Synthetic data is basically artificial data that mimics real-world data while protecting sensitive information. The platform offers a wide range of benefits for businesses across various industries.
The organization uses synthetic data to accelerate development, improve testing, and enhance data privacy. This tool allows users to create realistic datasets that are statistically similar to their original data without compromising sensitive information.
In addition, Syntho enables users to share data with third-party partners, train AI models, and conduct stress tests without exposing confidential details.
| Syntho Review Summary | |
| Performance Score | A |
| Interface | Intuitive |
| AI Technology |
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| Purpose of Tool | Provides AI-driven synthetic data solutions to enhance data privacy and streamline testing |
| Compatibility | Web-Based |
| Pricing | Paid |
What is Syntho?
Syntho is a game-changer AI-driven platform designed to generate synthetic data. Synthetic data is basically artificial data that mimics real-world data while protecting sensitive information. The platform offers a wide range of benefits for businesses across various industries.
The organization uses synthetic data to accelerate development, improve testing, and enhance data privacy. This tool allows users to create realistic datasets that are statistically similar to their original data without compromising sensitive information.
In addition, Syntho enables users to share data with third-party partners, train AI models, and conduct stress tests without exposing confidential details.
Syntho Key Features
| Test Data Management | AI-Generated Synthetic Data | PII Scanner |
| Quality Assurance Report | Time Series Synthetic Data | Data Masking |
| Subsetting | Consistent Mapping |
Is Syntho Free?
No, the platform allows users to get a demo and schedule a meeting to discuss further pricing and the work process. You can also contact them through the email mentioned below.
Syntho Pros and Cons
Pros
- The platform generates synthetic data that mimics real datasets.
- It is used to reduce the risk of data breaches and unauthorized access.
- Synthetic data allows for accelerated development cycles.
- Syntho offers out-of-the-box connectors for over 20 databases and 5+ filesystems.
Cons
- It is not ideal for organizations that do not have significant datasets.
- The initial setup of Syntho requires technical expertise and some experience.
FAQs
What is the difference between synthetic data and masked data?
Synthetic data is entirely generated and free of sensitive information, while masked data modifies or removes sensitive elements from the original dataset.
What is a quality assurance report in Syntho?
The quality assurance report provides insights into the accuracy and consistency of the generated synthetic data.
What are Syntho’s deployment options?
Syntho is deployed in customers’ secure environments, ensuring that sensitive data never leaves their trusted systems.
