K2view Synthetic Data Generation Tool

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

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

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

Automatically de-identify sensitive data (PII) 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

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

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

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