Press for navigation
Swipe for navigation

Syntho

Discover Syntho's AI-generated synthetic data platform, ensuring privacy with high accuracy.

Data Management Updated 2 hours ago
Visit Website
Syntho

Syntho's Top Features

AI-generated synthetic data that reflects real data patterns without containing sensitive information
Smart de-identification features automatically remove or modify Personally Identifiable Information (PII) for privacy compliance
Comprehensive test data management that safeguards sensitive information while supporting software development and testing cycles
The Syntho Engine supports various data types, ensuring ease of deployment and integration
Accurate synthesis of time-series data for time-dependent analyses
Upsampling to address data imbalances and improve data representativeness for machine learning model training
Full data coverage with optimized support for complex data structures
High accuracy of synthetic data, approved by experts at SAS

Frequently asked questions about Syntho

Synthetic data is artificially created data that mirrors real-world data's statistical properties without containing actual sensitive information. Syntho uses AI and machine learning models to generate this data, ensuring it closely resembles the original while maintaining privacy.

The platform offers enhanced privacy by design, compliance with data protection regulations, increased speed and flexibility in data-driven projects, and simplified data collaboration across stakeholders.

Syntho uses stringent quality assurance methods, including data quality metrics and external evaluations, to ensure the synthetic data's accuracy and reliability, aiming to create "synthetic data twins".

The platform supports structured, tabular data, including categorical, numerical, and geographic data. However, its suitability for specific data types may require assessment based on individual needs.

Syntho offers AI-powered PII scanning and smart de-identification features, providing deployment options like on-premise and private cloud to ensure sensitive data never leaves the customer's trusted environment.

Syntho Engine can be deployed on-premise, in a private cloud, or other environments and is packaged in a Docker container for seamless integration.

The pricing model is based on features rather than usage. Factors influencing cost include the license tier and additional deployment locations, which determine the features, users, and connectors available.

Comprehensive documentation, a ticket support system, direct communication channels, and personalized onboarding training are provided to assist users effectively.

The data generation time is contingent on database size, with tables under 1 million records typically taking less than 5 minutes to process.

It is utilized in healthcare for AI model training, finance for fraud detection, and various other industries requiring large, realistic datasets for testing, analytics, or AI/ML model development.

Syntho's pricing

Basic

$0/annual

  • PII Scanner
  • open text features
  • Syntho Engine license

Standard

$0/annual

  • Builds on Basic plan
  • Mockers
  • Consistent mapping

Ultimate

$0/annual

  • All features of Standard plan
  • Unlimited connectors

Customer Reviews

Login to leave a review

No reviews yet. Be the first to review!

Top Syntho Alternatives

Kadoa

Discover Kadoa, the leading no-code, maintenance-free platform for efficient data extraction and wor...

Parseur

Parseur automates data extraction from documents like emails, PDFs, and invoices using AI and OCR te...

STRING

Join STRING's public beta to interact seamlessly with your data and boost your decision-making proce...

Anaconda

Anaconda Hub: A platform with trusted repositories, AI tools, and security features for data science...

YData

Discover YData, the best synthetic data vendor, offering innovative solutions across industries.

Prometh

Cognee optimizes data management by transforming your notes into an interconnected knowledge graph f...

Prev Project
Next Project