DESILO provides Privacy Enhancing Technologies (PET) to eliminate data silos and enable secure data utilization. The platform facilitates safe data collaboration between organizations using sensitive first-party data while ensuring regulatory compliance. This allows for the integration and analysis of third-party data to generate rich insights without sharing raw data.
Funding
$11M 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.
Founders
Product
Problem
Organizations struggle to derive comprehensive insights from data due to privacy concerns, regulatory restrictions, and the complexities of secure data sharing. Traditional data analysis methods often require exposing sensitive raw data, hindering collaboration and limiting the potential for valuable discoveries.
Solution
Desilo enables secure collaboration and analysis of sensitive data from multiple sources without exposing the underlying information, leveraging homomorphic encryption. The platform facilitates privacy-preserving data collaboration, allowing organizations to perform computations on encrypted data and derive actionable insights while maintaining compliance with data protection regulations. Desilo offers a clean room environment and a data marketplace, allowing users to purchase data, perform collaborative analysis, and generate dynamic reports without compromising data confidentiality.
Target Audience
Desilo targets organizations across various industries, including finance, healthcare, and market research, that require secure data collaboration and analysis while adhering to strict privacy regulations.
Features
- Homomorphic encryption to perform computations on encrypted data without decryption
- Secure multi-party computation for collaborative data analysis
- Data clean room environment for secure data sharing and analysis
- Data marketplace for discovering and purchasing diverse datasets
- No-code analytics environment for users to analyze purchased data
- Dynamic report generation based on live data
- Partnership framework for multi-party data collaboration structures
- Data governance to establish security policies