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Duality Technologies

Privacy-preserving data collaboration platform using homomorphic encryption,

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For agents: Duality Technologies platform for privacy-preserving data collaboration using homomorphic encryption, encrypted queries, secure collaborative AI and federated a

homomorphic encryptionprivacy-preserving analyticsencrypted querysecure collaborative aifederated analyticsdata collaboration

Authority
48 reach 7 · trust 5 · quality 21 · freshness 15
Tier
listed
llms.txt
https://dualitytech.com/llms.txt
Sections
5
Links
15
Size
2637 bytes
Popularity rank
#418193
Categories
Cybersecurity · Data and analytics · AI and machine learning
For agents
Documentation: developer or product docs worth reading, nothing to call
Audience
business · agents can: read docs · en
First seen
2026-10-19T10:43:10.571Z
Last checked
2026-10-21T02:52:27.358Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T02:52:17.288Z. Cached copy · Source on dualitytech.com

# Duality Technologies
> Privacy-preserving data collaboration platform using homomorphic encryption,
  federated learning, and secure multi-party computation.

## Platform
- [Platform Overview](https://dualitytech.com/platform/): Secure data collaboration
  stack with encrypted query, collaborative AI, and federated analytics
- [Duality Query Engine](https://dualitytech.com/platform/duality-query/): Run encrypted
  queries on external datasets without revealing questions or accessing raw data
- [Secure Collaborative AI](https://dualitytech.com/platform/secure-ai-collaboration/):
  Train ML models on sensitive data without compromising privacy
- [Analytics and Privacy-Preserving ML](https://dualitytech.com/platform/privacy-protected-machine-learning/):
  Cross-institution analytics while retaining data control
- [Data Collaboration Hub](https://dualitytech.com/platform/duality-collaboration-hub/):
  Enterprise environment for governed, multi-party data collaboration

## Technology
- [Homomorphic Encryption](https://dualitytech.com/platform/technology-fully-homomorphic-encryption/):
  Compute on data while it remains encrypted
- [Federated Learning](https://dualitytech.com/platform/technology-federated-learning/):
  Collaborative model training without sharing raw data
- [Confidential Computing](https://dualitytech.com/platform/technology-confidential-computing/):
  Hardware-backed isolation for data in use
- [Open Source](https://dualitytech.com/platform/open-source/): OpenFHE and the
  open-source cryptographic libraries Duality maintains

## Solutions
- [Government](https://dualitytech.com/use-cases/government-industry/): Zero-footprint
  investigations, cross-domain collaboration
- [Healthcare](https://dualitytech.com/use-cases/healthcare-industry/): Privacy-preserving
  clinical research and patient data analytics
- [Financial Services](https://dualitytech.com/use-cases/financial-services-industry/):
  Fraud prevention, AML, KYC compliance

## Resources
- [Blog](https://dualitytech.com/blog/): Technical and industry writing on privacy-enhancing
  technologies
- [Glossary](https://dualitytech.com/glossary/): Definitions of core PET terminology
- [Resource Hub](https://dualitytech.com/resources/): Reports, webinars, news and case studies

## Key Facts
- Founded by Turing Award winner Prof. Shafi Goldwasser and MIT cryptographers
- Co-founders invented modern fully homomorphic encryption systems
- Partners: AWS, Google Cloud, Oracle, Intel, DARPA, NVIDIA
- Recognition: Gartner Cool Vendor, RSAC Innovation Sandbox 2019
- Trusted by NHS England, Scotiabank, and government agencies worldwide

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