Synthesized provides a unified platform for automated test data provisioning, utilizing generative AI to create, mask, and subset production-like data tailored for development and testing teams. This approach minimizes compliance risks and accelerates development cycles by ensuring teams have access to relevant, high-fidelity data without the need for full virtualized copies.
Funding
Funding not disclosed
+1Founders
Product
Problem
Development and testing teams often struggle to access realistic, production-like data for their work. Creating this data manually is time-consuming, while using actual production data introduces compliance and security risks. This lack of readily available, representative data slows down development cycles and increases the potential for errors in production.
Solution
Synthesized offers a unified platform that automates the provisioning of test data using generative AI. The platform creates, masks, and subsets data to mimic production environments, enabling teams to accelerate development while minimizing compliance risks. By generating high-fidelity, production-like data, Synthesized eliminates the need for full virtualized copies and ensures that teams have the right data for the task at hand. The platform integrates with CI/CD pipelines and offers a self-service UI, allowing for efficient and secure data provisioning.
Target Audience
Synthesized is designed for development, testing, and engineering organizations that require automated test data provisioning to accelerate development cycles and minimize compliance risks.
Features
- AI-powered data generation to create large, diverse datasets that represent real-world scenarios
- Intelligent data masking to codify regulatory requirements and ensure compliance with data privacy standards
- Data subsetting to provide teams with access to relevant data without exposing the entire database
- YAML configurations and Python DSL for specifying data requirements
- Native CI/CD integrations for automated test data provisioning
- Support for databases including PostgreSQL, SQL Server, Oracle, and Salesforce
- Cloud-native architecture for scalable and efficient data provisioning