Synthetic Data for Data Marketplace

Unlocking data potential with a synthetic data marketplace

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Core Value Proposition

Deliver software solutions easier, faster, and with higher quality with representative
synthetic test data

Enhanced data marketplace infrastructure
Enhanced data marketplace infrastructure

Strengthen your data marketplace with advanced infrastructure powered by synthetic data.

Embracing the newest technology
Embracing the newest technology

Leverage cutting-edge synthetic data technology to stay ahead in the evolving data landscape.

Data catalog with sample data for internal and external use
Data catalog with sample data for internal and external use

Build a robust data catalog with privacy-safe sample data for seamless sharing across teams and partners.

Unlock new data streams
Unlock new data streams

Expand your data offerings by unlocking previously inaccessible or restricted data streams.

Accelerate internal processes related to data distribution
Accelerate internal processes related to data distribution

Streamline data distribution workflows with scalable and efficient synthetic data solutions.

Controlled and secure access to sample data
Controlled and secure access to sample data

Ensure secure, compliant, and controlled access to synthetic sample data for a trusted marketplace experience.

Data Marketplace challenges

Creating a scalable, secure data marketplace is hindered by privacy concerns and data distribution complexities.

Data privacy and compliance
  • Assure data correspondence with GDPR, CCPA, and HIPAA regulations
  • Implement a robust data marketplace solution with high-security standards
Data quality and integrity
  • Data anonymization does not always lead to anonymized data and decreases data quality
  • Ensuring data accuracy and reliability
Data governance
  • It is complex to manage data availability, integrity, and usability
  • Lack of data ownership due to complex enterprise architecture

Our solution: AI-Generated Synthetic Data

Quality assurance<br>report
Quality assurance
report

Assess generated synthetic data on accuracy, privacy, and speed

Syntho’s quality assurance report assesses generated synthetic data and demonstrates the accuracy, privacy, and speed of the synthetic data compared to the original data.

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External evaluation<br>by SAS
External evaluation
by SAS

Our synthetic data is assessed and approved by the data experts of SAS

Synthetic data generated by Syntho is assessed, validated and approved from an external and objective point of view by the data experts of SAS.

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Time Series Data
Time Series Data

Synthesize time-series data accurately with Syntho

Time series data is a datatype characterized by a sequence of events, observations and/or measurements collected and ordered with date-time intervals, typically representing changes in a variable over time, and is supported by Syntho.

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What is synthetic data?

How does it work?

Why do organizations use it?

How to start?

Privacy Policy

What makes Syntho’s approach unique?

Secure synthetic data marketplace
  • Build a synthetic data marketplace that corresponds to high data protection standards
  • As AI-generated data is fully artificial, it enhances data privacy
Data catalog with synthetic sample data
  • Provide stakeholders the opportunity to discover data before making a data access request
  • Comprehensive search and fast access to relevant data
Unlock new revenue streams
  • Generate additional data streams and gain a competitive edge
  • Discover new data insight with fast and easy data-sharing
  • Democratize data