TL; DR
In simple terms: What is Mind Network?
Imagine if all your data was like a safe that never opens, yet you could still use the contents inside without opening it. This is what Mind Network aims to achieve.
Mind Network has developed a technology called 'Fully Homomorphic Encryption' (FHE) that keeps your data encrypted throughout the entire process while still allowing it to be computed and processed.
A table to understand the information flow processing of Mind Network:
Pain points in the AI era: privacy protection and data rights
The modern internet communication process is like sending a letter: the envelope is sealed during transit (which is what the HTTPS protocol does), but upon arrival, the recipient must open the envelope to read the contents.
This means your data is transparent and visible to banks, social media, or cloud service providers.
In the AI era, traditional AI model training and inference face several key privacy challenges:
Risk of data exposure: In the traditional AI training process, original data must be provided in plaintext form to the training environment, meaning sensitive data is exposed to AI service providers or operating environments.
Loss of data ownership: Users' daily internet usage generates a large amount of data, which is crawled and collected by AI companies for AI training, but users find it difficult to benefit from the data they produce.
Cross-organizational collaboration challenges: Data privacy requirements in industries like healthcare and finance make cross-organizational AI collaboration difficult, as organizations struggle to share data for joint training.
Schrödinger's cat? Mind Network allows you to know the result without observation
Mind Network changed this, proposing the HTTPZ protocol, which acts like a magical envelope: even at the destination where data needs to be used, the contents can be processed without opening the envelope. This way, your data never appears in plaintext, greatly enhancing data privacy protection and security.
Returning to the previous question, let's look at a few examples of how Mind Network addresses them:
Risk of data exposure
When you seek psychological counseling, you must disclose deeply buried and hard-to-communicate experiences so the doctor can analyze your behavior and emotions and provide feedback. But... is there a better solution?
Mind Network gives doctors 'mind-reading' abilities; they can read your feelings (you only need to submit encrypted content), but they cannot see what you truly think (your real information is like it is sealed). The doctor can still tell you about emotional trends but will never know the specifics of what you are unwilling to share.Loss of data ownership
When you upload your photos to an AI for editing or other tasks, the platform now has your photos. However, they may also use your photos for other purposes, such as custom advertising or selling your data to third-party organizations, but you will never see any benefits from that...
Mind Network acts like an encrypted photo album: you upload encrypted photos, and the platform does not know what they look like unless you give authorization. At that point, you can receive a licensing fee.Cross-organizational collaboration challenges
In fields like healthcare and finance, customer information is absolute privacy, which is a pain point for AI empowering various businesses today: Hospital A and Hospital B each have patient information. They want to research cancer, but are restricted by regulatory/privacy protection requirements that prevent them from sharing cases.
Through Mind Network, two hospitals can share encrypted data, allowing AI to learn patterns from the encrypted data without needing to see the original content.
When I talk about public chains, what am I talking about: The flourishing ecosystem of Mind Network
The most important aspect of a public chain project is its ecosystem. Without a thriving ecosystem, a public chain project lacks appealing daily active data, which makes it difficult to reach major exchanges. How is Mind Network performing in this regard?
Interactive data
Interactive data: As of April 2025, the ecological user base exceeds 200,000, with a daily interaction volume of 1.13 million.
Ecosystem projects
Agentic World:
An AI Agent system currently running on BSC, for which the project team has developed an SDK to provide support. The AI Agents deployed on it can use FHE for encrypted computation and communication. As of now, over 54,000 AI agents have been launched, completing over 1.2 million hours of training tasks.
Mind Chain (MindChain):
MindChain is the first FHE-supported blockchain developed by Mind Network and serves as the underlying chain for AgenticWorld. It introduces FHE consensus and encrypted contract execution, becoming what is called an 'AI-native blockchain.' Smart contracts running on MindChain can directly handle encrypted data, enabling applications such as privacy-preserving finance and confidential voting.
FHE Cross-chain Bridge (FHEBridge):
Mind Network has collaborated with leading oracle Chainlink to develop the FHE Bridge. This is a cross-chain communication bridge that utilizes FHE and Chainlink's decentralized oracle network to enable encrypted transmission and verification of cross-chain data.
MindLake encrypted data lake:
Data is the core lifeblood of AI. Early in the project, Mind Network focused on data layout. It built MindLake to support the secure storage and access of large-scale sensitive data. It integrates decentralized storage networks such as Arweave, IPFS, BSC Greenfield, etc., using FHE encryption to ensure that the data stored within can only be accessed in plaintext with authorized computation. As a solution to the 'cross-organizational collaboration challenges,' the market prospects are relatively broad.
MindV fully homomorphic voting and consensus:
MindV is a set of encryption voting and consensus solutions based on FHE released by Mind Network. It mainly serves the governance and collaboration needs of decentralized networks. MindV has piloted collaborations with several well-known large projects, including Puffer, Ether.Fi, Manta, etc.
Funding, catching trends, market value management... Mind Network: Are you teaching me how to do things?
Under the current web3 narrative logic, the lifecycle of VC tokens is as follows: funding → catching trends & building collaborations → market value management → listing on Binance
So how well is Mind Network doing at each step?
👀 First, let's look at the funding
Seed round (June 2023): 2.5 million, led by Binance Labs, SevenX, HashKey Capital.
Pre-A round (September 2024): 10 million, Animoca Brands, MH Ventures, ArkStream Capital...
🔥 Let's take another look at which trends have been captured and what collaborations have been achieved
Web3 project partners: Chainlink, Zama, Consensys, Arweave, IO.net
Agentic World as an AI Agent project deployed on BSC, bringing massive AI traffic to BSC
As the only privacy computing project collaborating with Deepseek, it is listed in the Deepseek integration documentation:
🤝 Conclusion
Mind Network is reshaping the landscape of data privacy and ownership in the AI era with FHE technology. From the underlying chain to AI Agent ecosystem, and across-chain bridges and encrypted data lakes, it is not just telling a story, but also gradually paving the way to the future.
Privacy computing, AI-native blockchain, decentralized collaboration—if you believe the next decade belongs to data freedom and intelligent autonomy, Mind Network might be worth seeing by more people.
