Duality Technologies
Privacy-enhancing technology platform using homomorphic encryption and federated learning for secure data collaboration.
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Duality Technologies provides a platform for collaborating on and analyzing sensitive data without exposing it, using fully homomorphic encryption, secure multiparty techniques, federated learning and confidential computing.
Founded in 2016 by cryptographers and data scientists, it targets financial services, healthcare and government. It raised a $30M Series B led by LG Technology Ventures, bringing total funding to roughly $50M.
Innovation Matrix Assessment
Long-running FHE research roots and integration with cloud confidential computing in 2025.
Enables analytics on sensitive data without sharing it.
About $50M raised; Intel Capital among earlier investors; limited public customer data.
Computation on encrypted data changes how data sharing is approached.
Government and healthcare use cases cited; independent evidence limited.
Privacy-preserving analytics and AI data collaboration are durable needs.
Why CISOs Should Care
Allows data partnerships and AI model training on regulated data without moving or exposing raw records.
What Makes It Different
Applies homomorphic encryption and federated learning in a productized platform.
The Matrix Verdict
63/100 — INCREMENTAL INNOVATOR
Duality is an Incremental Innovator near the Meaningful threshold. Strong technical differentiation, moderate market evidence.
Editorial Note: Claims vs. Verified Findings
HQ reported inconsistently (Hoboken vs Newark vs Tel Aviv); funding totals vary by source. Use-case claims are vendor-stated.
Sources
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