AI-Generated Synthetic Data
Mimic statistical patterns of original data in synthetic data with the power of AI
Value of synthetic data
Artificially Generated
Synthetic data is artificially generated by using algorithms and statistical techniques
Mimics Real Data
Synthetic data replicates the statistical characteristics and patterns of real-world data
Privacy-by-Design
Synthetically generated data consists of completely new and artificial datapoints with no one-to-one relationship to real data
Discover our features
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.
Time-Series Synthetic 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.
Upsampling
Increase the number of data samples in a dataset
Increase the number of data, correct imbalanced dataset, and improve model performance.
Do you have any questions?
Talk to one of our experts
Why do organizations use AI-Generated Synthetic Data?
Unlock data and valuable insights
50% Of data for AI will be unlocked by privacy enhancing techniques
Gain digital trust
30% More profits for companies that earn and maintain digital trust with customers
Drive industry collaborations
70% Increase in industry collaborations expected with use of privacy tools
Realize speed and agility
Millions of hours saved by organizations that embrace synthetic data
What are typical use cases for AI-Generated Synthetic Data?
AI-generated Synthetic Data involves the creation of entirely new and artificial datasets based on real-world data. Algorithms generate synthetic data to mimic the statistical properties and patterns of real data. It is recommended for analytical related use cases with limited tables, as capturing statistical patterns across tables can be challenging.
Synthetic data for analytics
Build your strong data foundation with easy and fast access to as-good-as-real AI generated synthetic data.
Synthetic data for data sharing
Explore how to eliminate data sharing challenges that you will face when sharing original data
Synthetic data for product demo’s
Astonish your prospects with next-level product demos, tailored with representative AI generated synthetic demo data
How to apply AI-generated synthetic data
Mimic statistical patterns of original data in synthetic data with the power of AI
Utilize our easy-to-use Syntho Engine for AI-Generated Synthetic Data
Configure AI Generated Synthetic Data effortlessly within our platform with user-friendly options tailored to your needs. For AI Generated Synthetic Data, simply drag the target table into the “Synthesize” section in the workspace.
Frequently asked questions
Mimic the statistical patterns, relationships and characteristics of original data in synthetic data with the power of artificial intelligence (AI) algorithms.
The AI algorithm is trained on the original data to learn characteristics, relationships, and statistical patterns. Subsequently, the model generates entirely new data. Key difference, the AI model mimics the characteristics, relationships, and statistical patterns of the original data in the synthetic data, and to such an extent that the generated synthetic data can even be used for advanced analytics. That is why Syntho refers to this as a synthetic data twin, it is synthetic data that can be used as-if it is real data.
Access Syntho’s User Documentation!
- Getting started
- Deployment and connectors
- User interface
- Features
- User roles and support