Duality provides a platform that utilizes privacy-enhancing technologies to enable secure collaboration and analysis of encrypted data across organizations. This approach addresses challenges related to data privacy, intellectual property protection, and regulatory compliance, allowing enterprises to derive insights without exposing sensitive information.
Funding
$51M 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.
LTFounders
Product
Problem
Organizations face challenges in collaborating on sensitive data due to privacy regulations, intellectual property concerns, and the risk of exposing confidential information. Traditional data analysis methods often require data to be centralized, increasing the potential for breaches and limiting the ability to leverage distributed datasets.
Solution
Duality provides a privacy-protected data collaboration platform that enables organizations to securely analyze and share insights from encrypted data without exposing the underlying information. The platform utilizes privacy-enhancing technologies (PETs) such as fully homomorphic encryption (FHE), federated learning, and trusted execution environments (TEEs) to ensure data remains protected throughout the entire data science lifecycle. Duality's solution allows multiple parties to perform computations on sensitive datasets, derive valuable insights, and build collaborative AI models while maintaining compliance with data protection regulations. The platform supports secure queries and collaborative machine learning, enabling organizations to unlock the full potential of their data while minimizing risk.
Target Audience
Duality's primary customers include organizations in regulated industries such as financial services, healthcare, and government, as well as data service providers and any enterprise seeking to collaborate on sensitive data while maintaining privacy and security.
Features
- Secure data collaboration using privacy-enhancing technologies (PETs) like fully homomorphic encryption (FHE), federated learning, and trusted execution environments (TEEs)
- Duality Query: Enables privacy-preserving queries on decentralized data sets
- Duality ML: Facilitates secure collaborative machine learning and analytics using encrypted data and models
- Zero-footprint investigations: Securely analyze remote datasets in untrusted environments with post-quantum protection
- Support for various industries including financial services, healthcare, government, marketing, manufacturing, and insurance
- Compliance with data protection regulations such as GDPR, CPRA, and others
- Ability to securely compute in third-party environments and the cloud
- Duality Collaboration Hub: Empowers partners and customers with secure data collaboration