Details

Paid

January 25, 2024
Features
Out-of-the-Box Connectors
PII Scanner Feature
Best For
Data Analyst
Researcher
Software Engineer
Use Cases
Privacy Protection
Data Scarcity Solution

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What is Syntho?

Syntho is a self-service AI-generated synthetic data platform that provides a solution to data scarcity and privacy concerns. It uses the power of AI to create a synthetic data twin of the original data by learning its characteristics, relationships, and statistical patterns. The Syntho Engine, the leading platform for AI-generated synthetic data, is deployed in a safe environment chosen by the customer, ensuring that sensitive data never leaves their trusted environment. With out-of-the-box connectors and a PII scanner feature, Syntho enables organizations to easily configure synthetic data generation jobs and identify personally identifiable information within their databases. By generating high-quality synthetic data, Syntho empowers businesses to leverage and utilize data at scale, accelerating the data revolution.

Syntho Features

  • Syntho Engine

    AI-generated synthetic data platform that creates a synthetic data twin of the original dataset.

  • Out-of-the-Box Connectors

    Pre-built connectors for easy configuration and integration with over 20 databases and 20 filesystems.

  • PII Scanner Feature

    Identifies personally identifiable information (PII) within databases and open text.

  • Data Scarcity Solution

    Generates synthetic data to overcome data scarcity challenges when there is not enough real data available.

Syntho Use Cases

  • Data Augmentation

    Syntho can be used to augment and simulate completely new data when there is a need to up-sample edge-cases or when there is no data available yet, helping organizations improve the robustness of their models and algorithms.

  • Privacy Protection

    Syntho can create a synthetic data twin of sensitive data, allowing organizations to protect the privacy of individuals while still being able to perform relevant analysis and processing on the synthetic data without exposing real personal information.

  • Data Scarcity Solution

    When there is not enough real data available, Syntho can generate synthetic data using AI algorithms, providing organizations with an alternative source of data for testing, research, and various data-driven applications.

Related Tasks

  • Data Augmentation

    Generate synthetic data to expand existing datasets, enhancing training and testing for machine learning models.

  • Privacy Protection

    Create synthetic data twins to safeguard sensitive information while still enabling meaningful analysis and processing.

  • Model Testing and Validation

    Use synthetic data to validate and test the performance of algorithms and models in a controlled environment.

  • Predictive Analytics

    Leverage synthetic data to predict future outcomes and make informed decisions based on statistical patterns and relationships.

  • Anomaly Detection

    Utilize synthetic data to identify anomalies in datasets and improve anomaly detection algorithms.

  • Simulation and Scenario Testing

    Employ synthetic data to simulate various scenarios and test the performance of systems or processes.

  • Data-Driven Research

    Generate synthetic data for research purposes when limited real data is available, enabling meaningful analysis and experimentation.

  • Personalized Recommendations

    Leverage synthetic data to develop personalized recommendation systems, enhancing user experiences and driving customer engagement.

  • Data Scientist

    Utilizes Syntho's AI-generated synthetic data platform to generate substitute data for analysis, modeling, and testing without compromising privacy.

  • Data Analyst

    Leverages Syntho to supplement limited datasets and gain additional insights, improving data-driven decision-making processes.

  • Researcher

    Uses Syntho to expand available datasets, fill in data gaps, and conduct experiments in various fields of research.

  • Software Engineer

    Integrates Syntho into development processes for testing software applications with realistic data scenarios while protecting sensitive information.

  • Machine Learning Engineer

    Utilizes Syntho's platform to generate diverse datasets, improving the performance and generalization capabilities of machine learning models.

  • Data Privacy Officer

    Relies on Syntho to develop strategies for data anonymization, allowing organizations to comply with privacy regulations and protect sensitive information.

  • Data Architect

    Incorporates Syntho into data infrastructure planning to overcome data scarcity challenges and enable more comprehensive data analysis.

  • Data Compliance Consultant

    Advises organizations on privacy regulations and recommends tools like Syntho for generating synthetic data to minimize risks associated with handling sensitive information.

Syntho FAQs

What is synthetic data?

Synthetic data is artificially generated data that mimics the characteristics of real data.

What is the Syntho Engine?

The Syntho Engine is the leading platform for AI-generated synthetic data.

What is the PII scanner feature?

Syntho's PII scanner feature helps organizations identify direct personally identifiable information (PII) within their databases, but now also in open text.

What is the mission of Syntho?

Syntho's mission is to empower businesses worldwide to generate and leverage high-quality Synthetic Data at scale.

What is the deployment environment for Syntho?

Syntho typically deploys in the safe environment of customers so that sensitive data never leaves the customer's trusted environment.

What are the possible deployment options for Syntho?

Possible deployment options include on-premise, any (private) cloud, Syntho cloud, and any other environment.

What are the out-of-the-box connectors offered by Syntho?

Syntho offers over 20 database and 20 filesystem connectors for an end-to-end integrated approach.

What is the focus of Syntho?

The focus of Syntho is structured data, which is data formatted in tables containing rows and columns.

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