PryvX offers a privacy‑first platform that enables organizations to collaborate on sensitive data without moving or exposing raw information. It provides data clean rooms and federated data networks that use confidential computing, secure multi‑party computation, and differential privacy to keep data encrypted during joint analytics, while delivering results through a unified API and dashboard.
Funding
$125K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NAFounders
Product
Problem
Organizations that hold valuable but sensitive data—such as telecom operators, banks, insurers, and healthcare providers—cannot easily share or jointly analyze that data because privacy regulations, compliance requirements, and the risk of exposure prohibit direct data exchange.
Solution
PryvX provides a privacy‑first platform that enables secure data collaboration without moving or exposing raw data. The solution implements data clean rooms where multiple parties can run joint analytics on encrypted inputs, and federated data networks that allow queries to be executed locally while only aggregated results are shared. Advanced privacy‑enhancing technologies—including confidential computing, secure multi‑party computation, and differential privacy—ensure that data remains encrypted throughout processing and that compliance constraints are enforced automatically. Results are delivered through a unified API and dashboard, giving participants actionable insights while preserving full control over their datasets.
Target Audience
Primary customers are telecom operators, financial institutions, insurers, healthcare organizations, and other data‑intensive enterprises that need to collaborate on sensitive datasets while maintaining regulatory compliance.
Features
- Data clean rooms that support joint analysis on encrypted data with no raw data export
- Federated data network architecture enabling query execution at the data source and returning only privacy‑preserving aggregates
- Confidential computing and secure multi‑party computation to keep data encrypted during processing
- Built‑in differential privacy controls to meet GDPR, CCPA, and industry‑specific compliance standards
- API and web dashboard for seamless integration with existing analytics pipelines and reporting tools
- Auditable access logs and policy engine for fine‑grained data governance and consent management