Synthetic Data Generation Tools

Generate and manage complete, accurate, and compliant
synthetic data for testing software and training AI/ML models.

One solution, supporting 4 methods of synthetic data generation:

Synthetic data generation tools: Generative AI

Generative AI

Synthetic data generation tools: Rules engine

Rules Engine

Synthetic data generation tools: Entity cloning

Entity Cloning

Synthetic data generation tools: Data masking

Data Masking

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Synthetic Data Generation Tools

Trusted by enterprise leaders

Balanced, realistic synthetic data

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All methods

of data generation

Supporting the 4 key synthetic
data generation techniques

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Any use case

with 1 set of tools

Testing apps, training AI/ML models, sharing B2B data, and much more

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Self-service

portal and APIs

Empowering data teams with
full control and automation

Combining all 4 data generation methods

  • 01 Generative AI
  • 02 Rules Engine
  • 03 Entity Cloning
  • 04 Data Masking

01Generative AI

End-to-end synthetic data management, based on GenAI

  • Subset the source data needed to train the GenAI model
  • Mask the training data to ensure compliance 
  • Train the GenAI model to generate the synthetic data
  • Apply business rules to increase accuracy
Synthetic data generation tools - generative AI

02Rules Engine

Flexible rules engine to generate data for new functionality testing

  • Generate data based on pre-defined business rules – on demand or via API
  • Create complete data by business entities, such as customers and products
  • Customize test data generation functions, without coding
  • Define business rule parameters for testers to set
Synthetic data generation tools - rules engine

03Entity Cloning

Clone production data performance and load testing in a compliant way

  • Extract, mask, and clone data by business entities  
  • Generate unique identifiers for every cloned entity, automatically
  • Generate massive datasets, on demand
Synthetic data generation tools - data cloning

04Data Masking

Apply in-flight data masking to create compliant data

  • Automatically discover and classify Personally Identifiable Information (PII)
  • Assign the relevant data masking functions 
  • Customize or create new masking functions, code free
  • Data is masked in-flight, as it's extracted from the source systems, while ensuring referential integrity
Synthetic data generation tools - data masking

Generating synthetic data by business entities

Our patented approach makes all the difference

Model business entities
Model your business entities

Auto-discover the business entity schemas (e.g., customer, device, loan, order, etc.)  for which the synthetic data is needed.

Business entity model
Generate the synthetic data

Apply the appropriate data generation method(s) to the data model, to create the most complete, accurate, and compliant synthetic data possible.

synthetic data delivery tools
Deliver and manage

Deliver the data to the target systems and manage access, reservation, versioning, rollback, and integration with CI/CD and ML pipelines.

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Synthetic Data Generation

With K2view, dev and QA teams can generate accurate and compliant synthetic data for their testing needs.

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Synthetic Data Generation

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Data Masking

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Synthetic Data Generation

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Data readiness

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Synthetic Data Generation

With K2view, dev and QA teams can generate accurate and compliant synthetic data for their testing needs.

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Learn more about
synthetic data generation tools

Synthetic Data Generation

THE COMPLETE HANDBOOK

The A-Z of Synthetic Data Generation

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Gartner Report

Gartner Report on Test Data Management

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Gartner report Data Masking

Gartner report

Market Guide for Data Masking

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