Value Always Comes from Understanding and Choice. Exploring the Value Transmission Behind Current Events in Real-Time!

OK and Binance Jointly Drive the AI Newcomer

According to X Interactive, Privasea, a dark horse project with significant technological innovation in the AI track, is about to enter the TGE (Token Generation Event) process! It has received hundreds of millions of dollars in direct investment led by OKX and Binance in its early stage! Quickly grasp the potential value!

Why Are Big Players Competing to Layout?

The core goal of the Privasea project is to enable artificial intelligence (AI) to perform computations directly on encrypted data without exposing any sensitive information, thereby solving the current problem of data privacy leakage during AI training and usage. So far in the development of blockchain AI, data privacy during AI model training is absolutely the ultimate challenge that needs to be solved urgently!

What Will Privasea Do?

You can imagine it as a "credit assessment system for blockchain banks"—in the traditional banking system, if you want to apply for a loan, bank staff need to view your income, credit records, and liabilities. They must open all your financial data to assess you, but this also completely exposes your privacy. To avoid directly viewing privacy, credit assessment can solve this problem. Staff only need to know the credit assessment data to handle related work!

Similarly, when performing AI training or solving problems on-chain, a large amount of data is needed for learning, which means that, like banks, information needs to be read. Your privacy data will be exposed during the AI working process, posing the risk of being misused or leaked by irresponsible parties. For example, users' photos, financial information, and medical records are all exposed and can be easily misused or stolen by hackers. Therefore, for these industries with a scale of hundreds of billions, if they want to develop on a large scale in the blockchain AI field, they must solve this problem!

Privasea uses Fully Homomorphic Encryption (FHE) technology, which allows AI training or problem-solving to be completed without directly reading private information. Through Privasea's FHE, the assessment is completed directly, and AI only needs to process the assessment value to perfectly solve this problem.

Ultimately, AI becomes both smart and "blind," ensuring it can process data without ever seeing the data itself! This completely solves the century-old problem of privacy leakage during model training!

Impact on Current Blockchain AI

🔥 Influence of AI + DePIN

In the medical blockchain field, hospitals can use Privasea for privacy-protected AI diagnostics. Hospitals will not directly upload patients' medical images to the cloud but will encrypt and analyze them within the Privanetix network to obtain diagnostic results. In this way, data is not leaked, and hospitals do not need to rely on centralized cloud computing platforms, saving money and increasing security.

🔥 Impact on AI Data Flow Privacy

AI research teams need large-scale data for training. They do not need to obtain users' raw data but can use Privasea to access the "computational results of data," just like accessing liquidity through DeFi. This method ensures data privacy while allowing data owners (such as individuals and businesses) to still profit from the value of their data.

Boosted by Which Big Players?

🔥 In March 2024, Privasea completed its technology research and development and announced a $5 million seed round led by YZi Labs, MH Ventures, and Gate Labs. This marked the beginning of its rise into the vision of top VCs.

🔥 From April to October of the same year, Privasea received direct investment from top-tier institutions such as Binance Labs, OKX Ventures, Oasis Labs, GSR, and Amber Group. Its valuation soared to $180 million! Combined with solving the thorny issues in the current AI field, it has become a rising star in the AI sector!

Future Development Analysis

Privasea's technology is of great significance to the current Web3 + AI and DeFi fields. Especially as the era approaches where everyone can train AI models, this undoubtedly provides strong foundational support for blockchain AI to enter this era! The large user base and application scenarios provide a long lifecycle for the project. At the same time, it has received substantial capital support. Although the amounts of multiple funding rounds were not disclosed, the valuation was announced, providing the original driving force for the project's subsequent explosive growth.