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Whitepapers
Learn how Fluid secures data collaboration
Federated Learning and Secure Data Access
Overview of the Fluid platform for privacy-preserving intelligence exchange using federated learning and secure data access.
Read whitepaperConfidential Computing with Fluid Secure AI
How Fluid leverages secure enclaves to enable trusted, confidential analytics across partners.
Read whitepaperBlogs
Stories and theories of humans and AI, working together

Learning without sharing
A quick look at how Fluid used federated learning to collaborate on intelligence while keeping raw data private.
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Co-opetition : top partnerships that are changing the game in fintech
Banks competing with fintech? Those days are past. The future of fintech is one where the new and the old are coming together to rewrite the rule books.
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Our path to Safer AI : Sharing data without compromising privacy
Smoothly sharing data and preserving privacy — does it need to be such a difficult choice?
Read moreUse cases
Use Fluid, to give your business the advantage of trust

Exchanging sensitive data in embedded lending services
Category-leading fintech startup is able to increase the quality of leads by using loan performance data from lending partners, without compromising control and privacy.
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Co-operating with competition towards AML and fraud-prevention
AI-driven fraud prevention startup is able to boost revenue of their clients by pooling in sensitive transaction data from multiple financial service providers, without exposing anyone’s IP and private data.
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Personalised ads and marketing without violating privacy
Mar-tech company boosts lead quality and conversions for its clients without accessing first-party cookies and without violating any privacy guidelines as per GDPR, CCPA and other global regulations.
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