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Privasea AI
More Detail
$0
+3.74%
Total dollar volume24H
$8,549,529
High24H
0.02955 USDT
Low24H
0.02558 USDT
Market Cap
#889$5,548,536
FDV
$26,930,000
Market Cap / FDV Ratio
0.21
Turnover rate
154.09%
Circulating supply
206,035,500
Total supply
1,000,000,000
Max supply
1,000,000,000
All time high
0.108 USDT
All time high date
May 14, 2025
Down from All time high
-75.06%
Cycle low
0.005 USDT
Cycle low date
May 14, 2025
Up from cycle low
438.60%
Contracts
BscScan:0x89...ec73
Official links
Website
White paper
Socials
Twitter
Discord
Telegram
Introduction

Privasea AI Network offers a revolutionary solution to the growing concerns surrounding data privacy in artificial intelligence (AI). By integrating Fully Homomorphic Encryption (FHE) with blockchain-based incentives, it enables secure, privacy-preserving AI computations. This innovative architecture allows confidential machine learning inferencing, where AI models can process secret datasets without exposing sensitive information. The result is a system that ensures privacy while meeting the rising demand for collaborative AI computations.

The network's cutting-edge design not only enhances the privacy and security of AI computations but also facilitates data value sharing. Instead of sharing raw data, users can exchange valuable insights while mitigating the risks traditionally associated with data-sharing methods. This fosters a more collaborative environment while maintaining strict confidentiality, thus empowering users to safely contribute and collaborate in AI-driven projects.

Privasea AI Network is powered by token incentives governed by smart contracts, leveraging a hybrid Proof-of-Work (PoW) and Proof-of-Stake (PoS) model for efficient and secure processing. By combining decentralized computing with stringent privacy measures, the platform offers users complete control over their data and AI models. This decentralized approach ensures that AI computations can be performed securely and privately, making it a groundbreaking solution for the future of AI and data privacy.

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