dualitytech.com
Independent Directory - Important Information
This llms.txt file was publicly accessible and retrieved from dualitytech.com. LLMS Central does not claim ownership of this content and hosts it for informational purposes only to help AI systems discover and respect website policies.
This listing is not an endorsement by dualitytech.com and they have not sponsored this page. We are an independent directory service with no affiliation to the listed domain.
Copyright & Terms: Users should respect the original terms of service of dualitytech.com. If you believe there is a copyright or terms of service violation, please contact us at support@llmscentral.com for prompt removal. Domain owners can also claim their listing.
Current llms.txt Content
# 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
Version History
Categories
Visit Website
Explore the original website and see their AI training policy in action.
Visit dualitytech.comContent Types
No content types identified
Recent Access
No recent access
