Omni Synthetic Data Generation Tools
AI-Powered
Synthetic Data
Generation
Drive enterprise innovation with AI-powered synthetic data for faster, safer development and testing.
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
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
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
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
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
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
Accurate, compliant synthetic data
for every use case
Enable true self-service synthetic data generation and provisioning for your QA, development, and data science teams
Manage the entire synthetic
data lifecycle
From data source to test environment, Omni Synthetic Data Management empowers you to manage every stage of the synthetic data journey.
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.
Experience Omni synthetic data tools
Synthetic data generation
Create synthetic data for multiple systems based on business entities.
Accelerate and secure your SDLC with one synthetic data generation tool
Accelerate software delivery with readily available, high-quality test data
Generate synthetic data that meets GDPR, CCPA, HIPAA, and other regulations
Enhance test coverage and identify defects earlier
Lower infrastructure costs and optimize testing processes
Explore Omni's complementary solutions
Test Data Management
Accelerate testing with on-demand and AI-powered subsetting, masking, and synthetic data generation.
Key features
- Self-service portal for dev and test teams
- Cross-system data subsetting
- Subset, reserve, rollback, and age test data
- All data sources, from mainframes to SaaS apps
- AI test data provisioning from test cases
Enterprise Data Masking
Innovate freely, without the data privacy risks. Provision compliant datasets for software testing, analytics, and AI.
Key features
- PII discovery and classification
- Static, in-flight masking
- Broad library of customizable masking functions
- Referential integrity and semantic consistency
- All data sources, structured and unstructured
Real data problematic?
Turn to synthetic data!
Explore with us how to create data that mimics real data,
safely and efficiently, using synthetic data