Duality Technologies
Duality Technologies, founded in 2016 by cryptographers and data scientists including CEO Alon Kaufman, provides software that lets organizations run computations on encrypted data without decrypting it, using homomorphic encryption and other privacy-enhancing technologies.
Profile
Duality Technologies sells software that enables organizations to analyze and collaborate on sensitive data without decrypting it, using homomorphic encryption and other privacy-preserving techniques.
Duality Technologies, founded in 2016 by cryptographers and data scientists including CEO Alon Kaufman, provides software that lets organizations run computations on encrypted data without decrypting it, using homomorphic encryption and other privacy-enhancing technologies. The company's platform, Duality SecurePlus, supports secure querying, collaborative AI model training, and third-party AI model evaluation on sensitive data. Headquartered in Newark, New Jersey, Duality has raised $49 million in total disclosed funding, including a $30 million Series B in October 2021 led by LG Technology Ventures, with participation from Euclidean Capital, NAventures, Intel Capital, Hearst Ventures, and Team8.
The company has also secured a $14.5 million DARPA contract to develop a privacy-preserving hardware accelerator. Duality lists partnerships with major cloud providers (AWS, Azure, Google Cloud, Oracle, IBM, Red Hat) and hardware vendors (Intel, NVIDIA), as well as consulting firms like Deloitte. Its customer base spans financial services, healthcare, government, and marketing, with notable clients including the U.S.
Department of Defense and Oracle (for anti-money-laundering information sharing). The company has not disclosed revenue or headcount. As of mid-2026, Duality is actively marketing its platform for private LLM inference and AI model benchmarking, reflecting the growing demand for privacy-preserving AI.
The company faces competition from other privacy-tech startups and established encryption vendors, and its reliance on government contracts and partnerships with large tech firms creates concentration risk. No recent funding rounds or major product launches have been reported since the 2021 Series B.
Who buys this
- Financial services firms needing to share transaction data for anti-money laundering and fraud detection without exposing customer information
- Healthcare organizations collaborating on patient data for research while complying with privacy regulations
- Government and defense agencies requiring secure analysis of classified or sensitive datasets
- Marketing and advertising companies analyzing customer data across partners without sharing raw data
- AI and data service providers evaluating third-party models on proprietary data without exposing it
Publicly disclosed clients
- U.S. Department of Defense (via DARPA contract)
- Oracle (partnership for AML information sharing)
Strengths and what to watch
Strengths
- Founded by world-renowned cryptographers with deep expertise in homomorphic encryption, giving the company a strong technical foundation
- Secured a $14.5 million DARPA contract, indicating validation from a demanding government customer
- Established partnerships with major cloud and hardware vendors (AWS, Azure, Google Cloud, Intel, NVIDIA, Oracle, IBM, Red Hat), providing distribution and credibility
Watch for
- No funding rounds or major product announcements since the $30 million Series B in October 2021, raising questions about growth pace and capital needs
- Heavy reliance on government contracts and partnerships with large tech firms, creating concentration risk if those relationships change
- Competition from other privacy-enhancing computation startups (e.g., Inpher, TripleBlind) and larger encryption vendors, which may erode market share
Key Information
- Industry
- Privacy & Security
- Founded
- 2016
- Headquarters
- Newark, New Jersey
Frequently Asked Questions
What is Duality Technologies and what does it do?
Duality Technologies sells software that lets organizations analyze and collaborate on sensitive data without decrypting it. Founded in 2016 by cryptographers, its platform uses homomorphic encryption and other privacy-enhancing techniques to enable secure data analysis and AI model training.
How does Duality Technologies' homomorphic encryption work?
Duality Technologies uses homomorphic encryption to allow computations on encrypted data without decrypting it first. This means organizations can query, analyze, and train AI models on sensitive information while keeping the data private and secure throughout the entire process.
What is the Duality SecurePlus platform used for?
Duality SecurePlus supports secure querying, collaborative AI model training, and third-party AI model evaluation on sensitive data. It also enables private LLM inference and AI model benchmarking, helping organizations collaborate on data without exposing it to partners or cloud providers.
Which industries use Duality Technologies for data collaboration?
Financial services use it for anti-money laundering and fraud detection. Healthcare organizations collaborate on patient data for research. Government and defense agencies analyze classified datasets. Marketing firms share customer data without raw data exposure. AI providers evaluate models on proprietary data.
Has Duality Technologies received government funding or contracts?
Yes, Duality secured a $14.5 million DARPA contract to develop a privacy-preserving hardware accelerator. This contract with the U.S. Department of Defense validates the company's technology for highly sensitive government applications and demonstrates trust from a demanding customer.
Who are Duality Technologies' main partners and competitors?
Duality partners with major cloud providers like AWS, Azure, Google Cloud, Oracle, IBM, and Red Hat, plus hardware vendors Intel and NVIDIA. It also works with Deloitte. Competitors include privacy-tech startups like Inpher and TripleBlind, as well as larger encryption vendors.
Sources
- dualitytech.com — Company overview, product descriptions, partner logos, and use cases
- www.prnewswire.com — $30 million Series B funding round in October 2021, total funding of $49 million, and DARPA contract details
- techcrunch.com — Funding round details, company founding by cryptographers, and early deals including DARPA contract
- www.prnewswire.com — Partnership with Oracle for AML information sharing