Synthetic tabular and image data generation

Synthetic data for when the real thing is too sensitive to share or too rare to collect.

What's included

• Synthetic tabular data generated from your schema and source tables, with relationships between tables preserved
• Rendered image datasets from Tavnit's licensed 3D asset library, with pixel-perfect labels
• A fidelity report comparing distributions, correlations and performance on a holdout task
• A privacy report with membership-inference and nearest-neighbour distance tests
• Generator configuration and random seeds so datasets can be reproduced

How buyers use it

• Sharing realistic test data with vendors and offshore teams without exposing customer records
• Augmenting rare classes such as fraud cases or defects before model training
• Producing labelled images of products, packaging or industrial parts that are hard to photograph
• Prototyping models before access to production data is approved

Coverage and methodology

For tabular work, Tavnit deploys its generators inside your cloud account, so source records never leave your environment; only the synthetic output and reports are exported. Every dataset is tested for memorised records before release, and rows that fall too close to a real record are removed. Image projects use 3D models Tavnit owns or licenses, rendered with randomised lighting, materials and camera positions. You own the synthetic output and may use, share or sell it. Typical projects produce 1 to 50 million rows or 100,000 to 2 million images.