K2view synthetic data generation tool

Create realistic tabular synthetic data that mirrors production, for functional testing.

• Subset the source data
  Train the machine learning model with a relevant subset of your production data

• Mask the training data
  Ensure compliance by masking sensitive information in the training dataset

• Train and generate
  Train the GenAI model and generate the synthetic data

• Apply business rules
  Increase accuracy and data fidelity by applying custom business rules

Quickly create high-volume and valid test data for performance and load testing.

• Extract, mask, and clone
  Clone data based on business entities (e.g., customers) while masking sensitive information

• Generate unique identifiers
  Automatically generate unique identifiers for each cloned entity to maintain data integrity

• Generate massive datasets
  Quickly create large-scale datasets on demand for your performance and load testing needs

Use business rules to generate synthetic datasets for new functionality testing.

• Create comprehensive datasets
  Generate realistic records for customers or any entity using our micro-database technology

• Customize without code
  Tailor data generation to your exact needs with our intuitive, code-free interface

• Empower your testers
  Empower testers to customize data for specific test scenarios using any parameter