Generate Production-Grade Datasets from Simple Prompts
Make Data Work AcrossPrivacy
Create high-quality synthetic data that mirrors real patterns while keeping personal data completely private.
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The Data Exists. Access Doesn’t.
Zero overhead, fully flexible, giving developers total control.
Regulatory Barriers to Access Data
Privacy laws like GDPR, HIPAA, and DPDP lock sensitive data behind lengthy approvals, slowing AI and analytics projects by weeks or months.
Limited & Biased Data
Most datasets are small, skewed, or incomplete — causing unreliable models, higher error rates, and misleading insights.
Vast Amounts of Data Go Unused
Up to 80% of enterprise data is never analyzed due to compliance, quality, and cleaning challenges — leaving valuable insights untapped.
Missing Domain & Rare Event Data
Critical edge cases in sectors like health, finance, and insurance are absent from historical data, making real-world readiness impossible.
How Genuity Works
How It Helps
Industry Benchmarks
The Genuity Python SDK
Install & Activate
Install Genuity and activate your license to get started. Run Genuity directly inside your environment to prepare, protect, and generate high-utility datasets.
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Runs where your data lives
Run Genuity locally or on-prem with full control over training, generation, and exports. No raw data leaves your infrastructure, and every step remains auditable.
One SDK, end-to-end workflows
Use a single Python SDK across preprocessing, privacy checks, generation, and evaluation. Export datasets, reports, and artifacts directly into downstream systems.