Developer hub

Developer Hub
Tutorial
Data masking
Data anonymization with
Synthesized TDK
Tutorial
Data Subsetting
Streamline with customizable
subsetting and transformations.
Tutorial
Data generation
Generate production-like data
with the power of AI

Empower your data with Synthesized

Data generation with GenAI
for any development and QA use-case

  • Create large, diverse datasets representative of real-world scenarios.
  • Streamline the database generation process with the LLM, ensuring the availability of high-quality data for testing while minimizing manual effort and accelerating development cycles.

Reduce the risk with codified regulatory rules

  • Encode compliance rules into masking policies to ensure that test data remains compliant with regulatory standards.
  • Minimize the potential for breaches and legal liabilities associated with mishandling sensitive information

Access the right data, not all the data

  • Provide teams with access to a subset of data that is relevant to their roles or tasks, without exposing the entire database. Use GenAI to generate specific databases for complex use-cases.
  • Selectively masks sensitive information within the subset for an optimal balance between data security and usability.

Maintain compliant and up-to-date test data

Continuous testing: Streamline software quality and speed
Continuous testing: Streamline software quality and speed
Happy Path Testing and its counterpart: Navigating positive and negative scenarios in modern software testing
Happy Path Testing and its counterpart: Navigating positive and negative scenarios in modern software testing
More than tooling: TDM doesn’t need to be a cost center
More than tooling: TDM doesn’t need to be a cost center

Synthesized TDK for
software testing

Frequent questions
and answers