Mimic statistical patterns of original data in synthetic
data with the power of artificial intelligence
Synthetic data is artificially generated by using algorithms and statistical techniquess
Synthetic data replicates the statistical characteristics and patterns of real-world data
Synthetically generated data consists of completely new and artificial datapoints with no one-to-one relationship to real data
Explore how Syntho’s AI-generated synthetic data solutions can help you mimic real-world data patterns while enhancing privacy and compliance.
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.
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.
Increase the number of data samples in a dataset
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.
Syntho deploys within your secure environment, ensuring sensitive
data never leaves your premises. This allows data synthesis at the
source without external access.
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Build strong data foundations with easy and fast access to AI generated synthetic data
Explore how to eliminate data sharing challenges that you will face when sharing original data
Fast prototyping and hypothesis validation before real data request performance
What is synthetic data?
How does it work?
How does it work?
How to start?
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.
Unlock data access, accelerate development, and enhance data privacy.
Keep up to date with synthetic data news