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🎲 Synthetic Data Generator (LLM-Powered)

Privacy Fidelity Datasets

Generate statistically faithful synthetic datasets using LLMs + GANs + copulas. 98.4% fidelity vs original data. LGPD/GDPR compliant. Supports tabular, text, time-series and multimodal data.

🏆 Use Cases & Results

  • ML training augmentation: 3x more training data → +18% model accuracy
  • Privacy-safe sharing: share datasets with zero PII risk
  • Rare event synthesis: generate rare fraud/anomaly samples (10x more)
  • Data democratization: teams get data without regulatory barriers

📊 Fidelity Metrics

Data Type Statistical Fidelity Privacy Score Generation Speed
Tabular 98.4% 99.9% 10K rows/sec
Text 94.7% 100% 500 docs/min
Time Series 96.1% 99.8% 1M points/sec

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LLM-powered synthetic data generation: realistic tabular, text and multimodal datasets with privacy preservation, statistical fidelity validation and LGPD compliance for ML training

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