AI-Generated
Synthetic Data

Mimic statistical patterns of original data in synthetic
data with the power of artificial intelligence

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Value of synthetic data

Artificially Generated
Artificially Generated

Synthetic data is artificially generated by using algorithms and statistical techniquess

Mimics Real Data
Mimics Real Data

Synthetic data replicates the statistical characteristics and patterns of real-world data

Privacy-by-Design
Privacy-by-Design

Synthetically generated data consists of completely new and artificial datapoints with no one-to-one relationship to real data

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Explore how Syntho’s AI-generated synthetic data solutions can help you mimic real-world data patterns while enhancing privacy and compliance.

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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Quality Assurance Report

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.

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Time-Series Synthetic Date

Upsampling

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.

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Upsampling
More features

Deploy Syntho
with your favorite tools

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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AI-Generated Synthetic Data

Use cases

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Use cases
Use cases

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What is synthetic data?

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Frequently Asked Questions

What is AI-Generated Synthetic Data?

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.

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Build better and faster with synthetic data today

Unlock data access, accelerate development, and enhance data privacy.

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