Syntho

Syntho: The AI-Powered Synthetic Data Platform

What is Syntho?

Syntho is a self-service AI-generated synthetic data platform designed to accelerate data-driven technology solutions. It allows organizations to create high-quality, privacy-preserving synthetic data for a wide range of applications, including:

• Testing
• Analytics
• AI/ML modeling
• Test Data Management
• Data Masking

Syntho unifies every synthetic data approach into one powerful engine, enabling teams to deliver data safely, instantly, and at scale without juggling multiple tools.

How does Syntho work?

Syntho simplifies secure and compliant synthetic data generation through a streamlined process:

1. Deploy in your environment: Syntho typically deploys within the customer's secure environment, ensuring sensitive data never leaves the trusted perimeter.
2. Connect to your database: Connect to source data and the target environment using Syntho's out-of-the-box connectors. Syntho supports connections with various leading databases and file systems.
3. Generate your data: Define the type of synthetization required, realistically mask or synthesize new values, and automatically detect sensitive data types.
4. Share/Use the protected data: Utilize and securely share the protected data, ensuring compliance and privacy are maintained throughout its usage.

Syntho employs AI to mimic the statistical patterns of original data in the synthetic data it generates. This ensures the synthetic data is representative and usable for various purposes while maintaining data privacy.

Key Features and Benefits of Syntho

• Test Data Management: Create, maintain, and control representative test data for non-production environments.
• Data Masking: Protect sensitive information by removing or modifying personally identifiable information (PII).
• AI-Generated Synthetic Data: Mimic statistical patterns of original data with the power of artificial intelligence.
• One platform for every approach: Combine or switch between synthetic data generation methods to fit any use case, all within a single engine.
• Adapt to changing needs: Enable compliance and stay agile with evolving regulations, tests, and innovation cycles.
• Simplify & save: Reduce cost, complexity, and time by managing all synthetic data needs in one platform.

Why choose Syntho?

Syntho offers a comprehensive solution for organizations looking to leverage the power of synthetic data. Some of the key reasons to choose Syntho include:

• Faster data access for analytics: Empower analysts and AI teams to get fast access to representative, usable data.
• Train AI/ML models: Train AI/ML models based on the full high-quality synthetic dataset.
• Stay compliant with regulations: Minimize access to sensitive data and adhere to data privacy regulations.
• Production-like test data: Create realistic data for development and QA, leading to faster testing and development cycles.
• Simplify data sharing: Share data safely across teams or partners, streamlining collaboration and facilitating secure information exchange.
• Accelerate innovation: Empower teams to explore, test, and validate ideas with ease, fostering agile and risk-free innovation initiatives.

Who is Syntho for?

Syntho is ideal for organizations across various industries that need to:

• Protect sensitive data
• Accelerate data access
• Comply with data privacy regulations
• Improve data quality
• Drive innovation

Specific use cases include:

• Test Data Management: Creating realistic test data for software development and quality assurance.
• Data Masking: Anonymizing sensitive data for analytics and reporting.
• AI/ML Model Training: Training AI/ML models on synthetic data to protect privacy and improve model performance.
• System Migration Support: Moving or upgrading systems with fewer risks by using synthetic data for testing.

Syntho empowers organizations to unlock the full potential of their data while maintaining privacy and compliance. By providing a unified platform for all synthetic data needs, Syntho simplifies data access, accelerates innovation, and reduces the risks associated with sensitive data sharing.