About
Duality Tech is an enterprise-grade secure data collaboration platform powered by privacy-enhancing technologies (PETs) such as fully homomorphic encryption (FHE), federated learning, and confidential computing. It allows organizations to unlock insights from sensitive, distributed, or otherwise inaccessible data without moving, exposing, or sharing it in plaintext. Designed for highly regulated industries, Duality's platform offers several core capabilities: Secure Query for privacy-preserving data queries, Secure Collaborative AI for training AI models on partner or third-party data, and Secure Federated Analytics for cross-organizational analytics. Its Duality Assistant Agent technology further streamlines these workflows. Key use cases span government intelligence and defense (zero-footprint investigations, border threat detection, military health insights), healthcare (cross-border health analytics, oncology research, real-world evidence studies), financial services (fraud prevention, anti-money laundering, KYC compliance, risk scoring), and marketing (targeted offers, customer retention). Duality integrates with major cloud and enterprise platforms including AWS, Google Cloud, Azure, Oracle, IBM, NVIDIA, and Red Hat. It is trusted by industry leaders and government agencies such as DARPA, NHS England, NCI, and DSIT. The platform is built for organizations that need to collaborate on data across silos or borders while maintaining sovereignty, compliance by design, and post-quantum protection.
Key Features
- Fully Homomorphic Encryption (FHE): Enables computation on encrypted data so organizations can run queries and AI models without ever decrypting sensitive information.
- Secure Collaborative AI: Train and evaluate AI models on partner, client, or third-party data that cannot be directly accessed, maintaining full privacy and control.
- Federated Learning & Analytics: Run distributed analytics and model training across organizational silos or borders without centralizing or exposing underlying data.
- Zero Footprint Investigations: Securely analyze remote datasets in untrusted environments with post-quantum protection, ideal for government and intelligence use cases.
- Broad Enterprise Integrations: Integrates with AWS, Google Cloud, Azure, Oracle, IBM, NVIDIA, and Red Hat for seamless deployment within existing infrastructure.
Use Cases
- Government agencies running zero-footprint intelligence investigations on remote, untrusted datasets with post-quantum security.
- Healthcare organizations collaborating on cross-border cancer research and real-world evidence studies without sharing patient data.
- Financial institutions detecting fraud and money laundering by analyzing transaction data across organizational boundaries without exposing client information.
- Enterprises securely evaluating third-party AI models on their proprietary sensitive data before vendor selection.
- Data service providers monetizing datasets and enabling partners to build custom AI models without exposing raw data assets.
Pros
- Industry-leading privacy technology: Uses state-of-the-art FHE, federated learning, and confidential computing to provide mathematically provable data privacy guarantees.
- Cross-sector versatility: Serves government, healthcare, financial services, marketing, manufacturing, and insurance with tailored secure collaboration solutions.
- Compliance by design: Built to satisfy regulatory requirements across jurisdictions, enabling cross-border data collaboration without legal or compliance risk.
- Trusted by top institutions: Used by DARPA, NHS England, NCI, and leading financial institutions, reflecting strong enterprise and government credibility.
Cons
- Enterprise-focused pricing: The platform is tailored for large organizations and government agencies, making it likely cost-prohibitive for small businesses or startups.
- Implementation complexity: Deploying privacy-enhancing technologies like FHE requires specialized technical expertise and integration effort.
- Limited self-serve access: The platform requires a demo or direct engagement with the sales team, with no transparent public pricing or instant trial option.
Frequently Asked Questions
What is fully homomorphic encryption and why does Duality use it?
Fully homomorphic encryption (FHE) allows computations to be performed directly on encrypted data without decrypting it first. Duality uses FHE so that organizations can analyze and collaborate on sensitive data while it remains cryptographically protected at all times.
What industries does Duality Tech serve?
Duality serves government and defense, healthcare, financial services, marketing, manufacturing, insurance, and data service providers — any sector where sensitive data collaboration is needed but data movement or exposure is restricted.
Can Duality Tech be used to train AI models on private data?
Yes. Duality's Secure Collaborative AI capability enables organizations to train and evaluate AI models on partner or third-party data they cannot directly access, without exposing the underlying data.
Does Duality support cross-border data collaboration?
Yes. Duality is specifically designed for cross-border use cases, enabling international data analytics and AI model training while maintaining compliance with local data sovereignty and privacy regulations.
What cloud platforms does Duality integrate with?
Duality integrates with major cloud and enterprise platforms including AWS, Google Cloud, Azure, Oracle, IBM, NVIDIA, and Red Hat, enabling deployment within existing infrastructure.
