Sold by: FactspanÂ
Generate realistic, privacy-preserving synthetic data with Flux for testing, training, and development without exposing sensitive information.
Overview
Flux’s Synthetic Data Generator empowers users to create high-quality, customizable datasets that mirror the structure and patterns of real-world data while protecting privacy. Powered by LLM-driven algorithms, it enables organizations to safely test applications, train machine learning models, and conduct data analysis in scenarios where real data cannot be used due to sensitivity or compliance restrictions. It also helps produce more diverse datasets to improve system robustness and innovation. Whether for application development, AI training, or experimentation, this feature ensures data confidentiality while accelerating progress.
AWS Services Used in this solution are: Bedrock, SageMaker, Lambda, RDS, S3, and Comprehend.
Highlights
- - Privacy-Preserving Data Creation: Ensures sensitive information is never exposed by generating synthetic datasets that mimic real-world structures and patterns without using actual customer data. Ideal for regulated industries like healthcare, finance, and insurance.
- - Customizable & Diverse Datasets: Allows teams to define parameters and tailor data outputs to match specific testing, training, or analysis needs. Enables generation of edge cases and diverse scenarios to improve model accuracy and application robustness.
- AI-Driven Realism: Powered by LLM-based algorithms, the generator produces data that closely resembles real-world behavior, ensuring reliable results for machine learning training, system testing, and analytics—all while maintaining compliance and security.
Details
Sold by
Categories
Delivery method
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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
We offer comprehensive support to help you get the best out of Factspan FLUX: Email: Contact@factspan.com /genaihub@factspan.com Phone: +91-6364465639 Support Portal: <www.factspan.com/contact-us/ > Our support team is available to assist with integration, configuration, and troubleshooting. Expect timely responses and tailored assistance to meet your specific requirements.