Prepare sensitive structured datasets for lower-risk sharing and analysis.
Privatedec helps research teams upload CSV data, apply privacy-preserving transformations, and generate controlled outputs for downstream collaboration, analytics, and AI workflows.
Designed for privacy-aware data handling with secure delivery, retention-aware workflows, and evidence-friendly reporting.
Why teams use Privatedec
- Prepare structured datasets for safer research collaboration
- Configure quasi-identifiers, sensitive fields, and privacy targets
- Generate controlled outputs with downloadable reports
- Deliver results through authenticated access and signed downloads
- Support retention-aware handling and deletion workflows
Healthcare Research Workflows
Support lower-risk data sharing for clinical research, internal analytics, and cross-team collaboration using structured CSV datasets.
Responsible AI Data Preparation
Create privacy-aware inputs for downstream model development while keeping governance decisions visible and reproducible.
Governance and Control
Pair anonymization workflows with signed result delivery, retention-aware handling, and policy pages that support trust and review.
How it works
Privatedec guides users from upload through governed output in a workflow designed for clarity, review, and controlled access.
Validate CSV structure, preview data, and review detected columns before starting processing.
Select quasi-identifiers, sensitive fields, and privacy parameters such as k-anonymity, l-diversity, and t-closeness.
Access reports, review outputs, and download processed files through authenticated and controlled delivery workflows.
Built to support trust on first review
Authenticated access, controlled downloads, and clear session-based workflow management.
Policy pages, deletion workflows, and retention settings make data handling expectations visible.
Processing reports and session records make workflow decisions easier to review and explain.
Positioned for privacy-aware research collaboration and responsible data preparation for analytics and model training.
Important note
Privatedec is intended for privacy-aware data preparation workflows. Users should only upload datasets they are authorized to use.
For demonstrations and testing, use synthetic or appropriately de-identified data rather than real patient information.