K2view Synthetic Data Generation Tool

Unlock the power of synthetic data

Unmatched flexibility

Generate accurate synthetic test data, whether you have access to production data or not

True self-service

Empower both technical and non-technical users to generate their own data, on demand

Scale and control

Streamline large-scale testing with data subsetting, reservation, versioning, and rollback

01 AI-Powered Generation 
02 Rules-Based Generation
03 Data Cloning
04 Intelligent Data Masking

01AI-Powered Generation 

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

Subset the relevant source data
Extract a relevant subset of your production data for training
Mask the training data
Mask any sensitive information in the training dataset, as it is extracted
Train and generate
Train the GenAI model and generate the synthetic data
Apply business rules
Increase accuracy and data fidelity by applying post-generation business rules

02Rules-Based Generation

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

Synthetic data generation tools: Rule-Based Generation

03Data Cloning

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

Synthetic data generation tools: Data Cloning

04Intelligent Data Masking

Automatically de-identify PII and PHI to ensure data compliance in lower environments:

Automated PII discover and classification
Automatically identify and categorize PII in your structured and unstructured data
Compliant masking
Apply pre-built masking functions to adhere to privacy regulations, like GDPR and CCPA
Customizable and code-free
Tailor existing masking functions or create new ones, code-free
Referential integrity
Maintain referential integrity during masking to ensure accurate relationships within the data

Synthetic data generation tools: Data Masking

Prepare

Access any of your data sources and automatically identify sensitive and PII data

Generate

Apply the right data generation method for each of your test phases, on demand

Operate

Maintain control of your generated AI-ready data with data reservation, aging, versioning, and rollback

Deliver

Integrate synthetic data into your CI/CD pipelines for automated and efficient testing workflows

Choose the right synthetic data generation tool for your enterprise

What should you look for in a synthetic data generation tool, and how can it solve common testing challenges?
Get expert guidance to choose the right solution and gain a competitive edge with faster, safer, and more efficient testing.