K2view Synthetic Data Generation Tool

Unlock the power of synthetic data

Accurate & compliant

Generate accurate and compliant synthetic 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:

Extract a relevant subset of your production data for model training
Mask sensitive information in the training dataset
Train the GenAI model and generate the synthetic data
Apply post-generation business rules to increase data accuracy and fidelity

Synthetic data generation Tools: How GenAI generates accurate and compliant data

02Rules-Based Generation

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

Generate realistic records even when production data does not exist
Easily configure parameter-based rules to generate synthetic data
Empower testers to set parameter values for their specific data generation needs

Synthetic data generation tools: Rule-based generation is most useful for new functionality and negative testing

03Data Cloning

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

Mass-clone any business entity across systems, instantly and securely
Automatically generate unique IDs for each cloned entity to maintain referential integrity
Quickly create large-scale datasets on demand for your performance and load testing needs

Synthetic data generation tools: Data cloning rapidly generates compliant data for high-volume load testing

04Intelligent Data Masking

Secure your lower environments with automated PII and PHI masking:

Automatically discover and classify PII in structured and unstructured sources
Apply pre-built masking functions to comply with privacy regulations
Tailor existing masking functions or create new ones, code-free
Maintain referential integrity of the masked data across systems

Synthetic data generation tools: Data masking replaces sensitive data with fake but realistic data

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.