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

UBS Next investment will further the development of high quality data for software testing

Synthesized creates accurate synthetic data to power innovation with BigQuery

Synthesized creates accurate synthetic data to power innovation with BigQuery

Synthesized SDK for
machine learning

Data imputation

Assessing quality and utility of data

Synthesized TDK for
software testing

REST API reference

Fairness and bias
identification

Contributing on GitHub Readme

Contribute on GitHub

Frequent questions
and answers