Maintenancedemo-0018
Synthetic Data Generator
Generate realistic but fake data for testing, training, and compliance. Customer records, transactions, medical records, network logs — statistically similar to real data, zero PII.
gpucomputenvidiahpaihpzgxn001in-progress
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This demo is under maintenance and cannot be booked. It will reopen once its owner marks it ready.
Lab overview
No walkthrough is recorded for this demo yet, so this is a 21 sec tour of the lab and how to use it.
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Overview
Solve the 'we can't use production data for testing' problem. Generate thousands of realistic synthetic records from templates, custom schemas, or by inferring the schema from a sample of real data. Statistical fidelity verification proves the synthetic data matches real distributions.
What You'll Learn
- Synthetic data generation techniques and use cases
- Schema inference from sample data using LLMs
- Statistical fidelity verification between real and synthetic data
- Compliance implications of synthetic vs. real data
Key Capabilities
- 6 pre-built templates (customers, transactions, medical, network, employees, IoT)
- Custom schema builder with 14 field types
- AI-powered schema inference from sample CSV/JSON
- Statistical comparison: original vs. synthetic distributions
- Export to CSV, JSON, or formatted Excel