Binance + OKX investment, what is Privasea that focuses on the dual narrative of FHE+AI?

Project Description

The Privasea AI Network is a powerful system designed to prioritize data privacy and security throughout the AI ​​computing process. It uses an innovative technology called fully homomorphic encryption (FHE), which can perform calculations on encrypted data and produce the same results as calculations performed on unencrypted data. It enables the circulation of data value through FHEML. The network provides distributed computing resources for FHE AI operations. The entire system is supported by ZAMA's specific ML and incentive crowdsourcing of $PRVA tokens.

Project Highlights

The first AI+DePIN network using FHE

Privasea uses FHE technology to provide data privacy and security, and uses AI and distributed network architecture to allow complex data processing and analysis while keeping the data fully encrypted. This means that users can perform machine learning and other advanced calculations without exposing the original data, which is impossible in traditional cloud computing and subverts privacy computing.

The Privasea platform uses several advanced FHE schemes, such as TFHE and CKKS, which provide high data privacy protection while ensuring computational accuracy and efficiency. Among them, the TFHE scheme supports fast bit operations within a single instruction cycle, while the CKKS scheme optimizes the ability to handle floating-point numbers, allowing Privasea to effectively support a variety of complex scientific research and commercial applications, such as financial analysis, medical data processing, and machine learning tasks.

In addition, Privasea has implemented a highly scalable distributed computing network, Privanetix. This network consists of multiple computing nodes, each of which can perform FHE operations and provide the necessary computing resources. This distributed architecture not only enhances the processing power of the platform, but also improves the redundancy and fault tolerance of the system, ensuring high availability and reliability of services. This integration of AI and distributed networks allows Privasea to handle advanced AI tasks such as deep learning, pattern recognition, and machine learning, which usually require huge computing power and high data protection. For example, users in the healthcare industry can use Privasea to securely analyze patients' sensitive data, predict diseases, and optimize treatment plans without worrying about violating data protection regulations.

Privasea also provides a unique smart contract suite that allows users to manage and automate data processing processes through smart contracts while keeping the data encrypted, including data verification, result output, and the allocation and reward of computing tasks. These smart contracts are executed on a distributed ledger, which not only ensures the transparency and traceability of the process, but also automates the allocation of incentives based on the computing resources provided by the nodes. This blockchain-based incentive mechanism further improves the participation and computing efficiency of the network, as each node is motivated to provide reliable services. This makes Privasea not only a data encryption and processing platform, but also a complete encrypted data ecosystem.

Through Privasea's API, developers can easily access this complex system and use its powerful functions to develop and deploy their own AI applications. These applications can use distributed networks to distribute computing loads while ensuring data integrity and security, which is especially important for blockchain applications that need to process large amounts of sensitive data.

Collaboration with Solana shows potential

Privasea pioneered the launch of the ImHuman application using FHE technology, which not only demonstrated the application of FHE in anti-sybil attacks, but also marked its mass adoption potential in the encryption field. Sybil attacks are a major threat in decentralized networks, especially in the field of airdrops, where attackers create a large number of false identities to manipulate the network or gain unfair advantages. The ImHuman application effectively combats such attacks in a secure and privacy-preserving manner.

Privasea plans to deploy its technology to the Solana network, becoming the first Proof of Human application on Solana. Solana's high performance and low latency make it an ideal blockchain platform to support Privasea's FHE technology and AI computing needs. This deployment will not only enhance the security of the Solana ecosystem, but also demonstrate the potential of FHE in Web3 applications. By running on Solana, Privasea's ImHuman application will be able to verify user identities more broadly, ensuring the security and reliability of the network while protecting user privacy.

project team

David Jiao is the founder and CEO of Privasea. Previously, he was the co-founder and CEO of NuLink and a system designer at Volvo Car Group. He holds a bachelor's degree in computer science from Beijing University of Posts and Telecommunications.

Zhuan Cheng is the co-founder and CTO of Privasea and CTO of NuLink. He was previously the CTO of MAP Protocol. He holds a bachelor’s degree in mathematics from the University of Science and Technology of China and a doctorate in applied mathematics from the Illinois Institute of Technology.

Investment lineup and financing

On March 4, 2024, the DePIN+AI project Privasea announced the completion of a $5 million seed round of financing. Early investors include Binance Labs, MH Ventures, K300, Gate Labs, 1NVST, Zephyrus Capital, etc.

On April 3, Privasea, which was invested by Binance Labs in the early stage, announced the completion of a new round of strategic financing, with participation from OKX Ventures, Laser Digtal controlled by Nomura Group, and Tanelabs, an incubator invested by SoftBank. It is expected to raise US$10 million.

Project popularity

Twitter followers: 304,000

DIS fans: 17.8W

Expected launch

As a project co-invested by Binance and OK, it is expected to be in the third quarter

Will be launched

Project Summary

Privasea has set new standards in privacy computing with its outstanding FHE, DePIN and ZK technical capabilities. As a pioneer in the field of AI DePIN, Privasea has set a new benchmark for data privacy and security through its innovative FHE machine learning (FHEML) solution, which seamlessly combines distributed computing networks with advanced security measures.

As an emerging technology, FHE has the advantage of performing complex calculations in an encrypted state, and has received more and more attention and investment. Therefore, Privasea has received dual investment from Binance and OK. As the demand for privacy protection in AI models increases, FHE will It will become the leading technology in the field of privacy protection in the future, so depin+AI’s Privasea still has huge potential.