Privagen is a powerful synthetic data generation platform built for modern enterprises, AI teams, and analysts who want to unlock sensitive data — without risking privacy or compliance.
This tool lets you upload real-world datasets and instantly receive statistically accurate, privacy-preserving synthetic versions. Whether you're working in healthcare, finance, or education, Privagen makes data shareable, safe, and usable.
Organizations today are paralyzed by privacy concerns and data access bottlenecks. Analysts, researchers, and engineers often wait weeks — or are denied access altogether — to datasets that could unlock insights or innovation.
Privagen solves this by generating safe synthetic data that preserves the structure, correlations, and statistical patterns of real data — without exposing any sensitive information.
Automatically detects the best synthetic generation algorithm (CTGAN, TVAE, GaussianCopula) based on your data’s structure — no ML experience needed.
Compare real and synthetic data through:
- Correlation heatmaps
- Summary statistics
- Mean difference analysis
Advanced nearest-neighbor distance analysis ensures your synthetic data isn’t “too real.” Know exactly how safe your output is.
Toggle on a privacy-first training mode that limits training intensity and reduces memorization risk, perfect for regulated industries.
Export:
- Synthetic CSVs
- Insight comparison reports
- Privacy risk audit summaries
| Sector | Use Case |
|---|---|
| 🏥 Healthcare | Share EHRs and patient data without violating HIPAA |
| 💰 Finance | Build fraud detection models without exposing accounts |
| 🧑🎓 Education | Train AI on student performance data without FERPA risk |
| 🧪 Research | Safely open datasets to collaborators or open source |
- Clone this repository
- Install dependencies:
pip install -r requirements.txt- Run the app:
python app.py- Upload any
.csvdataset and generate a safe synthetic version with dashboards and risk reports
We’re building Privagen to empower ethical data science and secure collaboration. If you have feedback, feature requests, or want to collaborate — let’s connect.