Sold by: HTC Global Services
Synthetic Data Generator is an AI-powered platform for creating realistic, privacy-safe synthetic data for application development, testing, analytics, demonstrations, and AI/ML model training. It supports data generation using seed data, zero-input generation without source data, PII detection and redaction, referentially consistent data subsetting, and REST API-based integration with enterprise data pipelines.
Overview
Synthetic Data Generator is an AI-powered, cloud-flexible platform that enables organizations to create realistic, privacy-safe data for application development, software testing, analytics, demonstrations, and AI/ML model development. The platform can learn the statistical characteristics, distributions, and relationships of existing datasets and generate new synthetic records without reproducing source records. It also supports zero-input synthetic data generation from plain-language field descriptions or SQL DDL when source data is unavailable, restricted, or cannot be shared.
The platform provides four key capabilities: statistically faithful Synthetic Data Generation, Zero-Input Data Generation, PII Detection and Redaction, and Referentially Consistent Data Subsetting. PII redaction detects sensitive personal information and replaces or masks it while preserving usable data formats. Data subsetting creates smaller, representative datasets across related tables while maintaining referential integrity. The platform provides both a web interface and REST APIs, enabling integration with existing data engineering, DevOps, application testing, analytics, and AI/ML pipelines.
For AWS environments, Synthetic Data Generator can integrate with AWS data and application ecosystems, including Amazon S3 for data storage and exchange, Amazon RDS for relational data sources, and other AWS services and enterprise data platforms through configurable connectors and REST APIs. This enables AWS customers to create privacy-safe development and test data, protect sensitive information, generate AI/ML training datasets, and reduce dependency on production data while integrating synthetic data generation into their existing AWS workloads. Relevant capabilities and keywords include Synthetic Data, Test Data Generation, AI-Powered Data Generation, Data Privacy, PII Redaction, Data Masking, Data Subsetting, Referential Integrity, AI/ML Training Data, Amazon S3, Amazon RDS, REST API, Data Engineering, Software Testing, and AWS Marketplace.
Highlights
- AI-Powered Synthetic Data Generation: Generate realistic, statistically faithful synthetic data with seed data that preserves the distributions and relationships of source datasets without reproducing actual records, enabling privacy-safe data for development, testing, analytics, and AI/ML model training.
- PII Protection & Data Privacy: Automatically detect, mask, or replace Personally Identifiable Information (PII) with realistic substitutes while preserving data formats, enabling privacy-safe datasets for development, testing, analytics, and AI/ML workloads.
- Zero-Input Generation & AWS Integration: Generate synthetic datasets from plain-language requirements or SQL DDL without requiring source data, and integrate seamlessly with Amazon S3, Amazon RDS, enterprise data platforms, and existing data pipelines through configurable connectors and REST APIs.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Support
Vendor support
Customers purchasing Synthetic Data Generator through AWS Marketplace receive technical support for product onboarding, configuration, AWS integration, REST API usage, troubleshooting, and product-related issues. Support includes assistance with synthetic data generation, PII redaction, data subsetting, and integration with AWS services such as Amazon S3 and Amazon RDS.
Support Email: htcnxt.support@htcinc.com
Support requests are handled during standard business hours, with response priority based on issue severity. Critical product availability or production-impacting issues receive prioritized attention.