Duality Technologies
Secure data collaboration and AI training on sensitive, distributed data using privacy-enhancing technologies like homomorphic encryption.
Overview
Duality Technologies develops a secure data collaboration platform that enables organizations to analyze, query, and train AI models on sensitive, distributed, or otherwise inaccessible data without moving or exposing it. The platform is built on Privacy Enhancing Technologies (PETs), including Fully Homomorphic Encryption (FHE), Federated Learning, and Trusted Execution Environments, which allow data to remain encrypted throughout the entire data science lifecycle. Duality serves organizations across financial services, healthcare, government, and marketing that need to collaborate on regulated or confidential data while maintaining compliance and control.
The platform allows organizations to create and manage their own collaboration networks, enabling secure data sharing and AI model training across organizational and geographic boundaries. Data remains encrypted during computation, meaning neither raw data nor queries are exposed to counterparties or third-party environments, including cloud infrastructure.
Core Products and Modules
- Secure Query: Enables organizations to run privacy-preserving queries across decentralized datasets. Queries are encrypted before being distributed to data owners, the identity of the data analyzer and the query itself are masked, encrypted results are aggregated and anonymized, and only the final output is decrypted by the authorized party.
- Secure Collaborative AI: Allows organizations to collaboratively train and evaluate AI models across organizational boundaries without exposing underlying data. Model parameters and data requirements are distributed to data owners, intermediate results are encrypted before being sent for computation, and aggregated encrypted results are decrypted only at the final stage.
- Third-Party Model Evaluation: Supports safe evaluation of external AI models on an organization's sensitive data, allowing benchmarking of AI vendors while maintaining full data privacy and control.
- Zero Footprint Investigations and Intelligence: Designed for government use cases, this capability enables secure analysis of remote datasets in untrusted environments with post-quantum protection, supporting intelligence and investigative workflows without leaving a data footprint.
Core Capabilities
- Secure analysis and enrichment of sensitive data across organizational silos and national borders without requiring data to be moved or shared in plaintext.
- Privacy-preserving AI model training on partner, client, or third-party data that cannot be directly accessed.
- Encrypted computation in third-party environments and cloud infrastructure.
- Full data owner control over data and intellectual property throughout the collaboration process.
- Compliance by design, supporting adherence to data protection regulations and industry-specific requirements.
- Support for monetization of sensitive data and AI models without exposing the underlying assets.
Industry Verticals
- Financial Services: Enables a more complete view of risk, transactions, and clientele through secure cross-institutional data collaboration.
- Healthcare: Supports research, drug discovery, and improved patient outcomes by enabling collaboration on sensitive health data across organizations and borders.
- Government: Facilitates privacy-preserving data collaborations for intelligence and investigative use cases, with post-quantum security and compliance capabilities.
- Marketing: Supports advertising optimization and customer retention through secure data collaboration.
Notable Details and Recognition
- Duality has been recognized by top industry analysts as a leading secure data science collaboration solution.
- The company participated in a UK–US cancer research pilot that demonstrated how embedding PETs into governance frameworks can enable cross-border collaboration on sensitive health data within months.
- Duality representatives have spoken at events hosted by the International Association of Privacy Professionals (IAPP), addressing how Privacy Enhancing Technologies translate AI governance policy into enforceable technical architecture.
- The platform is designed to support sovereign AI use cases, enabling organizations to collaborate on sensitive data without ceding control or exposing it to counterparties.
Duality's platform is positioned for organizations that need to derive value from sensitive or regulated data while satisfying compliance requirements and maintaining full control over their data and AI assets.