In the traditional Internet business model, platforms often form a business moat by monopolizing user data to pursue maximum business interests.

However, this practice has also led to serious violations of users' personal privacy. Users cannot truly master their data sovereignty and cannot effectively protect their personal privacy. At the same time, the monopoly of Web2 platforms on user data also restricts the multiple applications of data, making it impossible for users to use data as identity credentials to fulfill their potential.

In addition, advertisers face difficulties in accessing accurate ad delivery data, as traffic platforms hold the power to speak about such data.

And as the concept of democracy takes hold and the Internet continues to grow, more and more people are becoming aware of the importance of data and becoming concerned about the ownership of personal data. They are eager to take control of their data and stop being sold at will by platforms. At the same time, there is also a growing desire to be able to protect personal privacy and decide how their data is used.

This market demand has led to the emergence of emerging solutions, such as projects like Branche, which we will introduce today.

These projects aim to redefine the way data is owned and used, allowing users to reclaim data sovereignty and protect personal privacy. They work to create a fairer, more transparent and trusted data ecosystem where users can securely manage and exchange their data.

These emerging projects seek to break the limits of traditional business models and promote user privacy protection and diverse applications of data. In part, they provide users with better control over their data and a more personalized service experience.

Branche: A privacy-focused Web3 data engine

Branche is a Web3 data engine dedicated to creating open, private and undetectable data that is designed to reduce the cost of entry for Web2 users.

The Branche protocol leverages Zero Proof of Knowledge (ZKP) technology and off-chain smart contracts to create a decentralized data engine that is lightweight, private, and efficient at processing data.

As an open data protocol, Branche uses zero-knowledge proofs to ensure user privacy and data security. This technology allows data to be compressed and stored, making it more efficient, easier to manage and transfer. With ZK technology, raw data is abstracted and de-identified, allowing data to be shared and utilized while protecting user privacy.

In addition, off-chain smart contracts can also reduce the cost and processing time associated with on-chain smart contracts, enabling faster and more efficient data processing while ensuring data security and integrity.

The data within the Branche protocol has been verified by industry experts and professional code auditors to have high quality code and user data security protection. Even for non-authorized protocols, Branche can ensure that the protocol cannot be traced to a specific user in the event of a data breach by abstracting the user into each avatar.

Also, to further increase protocol security, Branche's developer ecosystem plans to add a bug bounty program to collaborate with developers to create more secure and private data protocols.

The combined application of these technologies makes the Branche protocol promising for a wide range of applications in a variety of industries, including finance, healthcare and supply chain management.

Branche's vision and goal is to help users achieve higher value privacy protection and data transactions by creating a semantic privacy decentralized identification (DID) protocol.Branche's core technologies include a semantic privacy DID protocol and an AI browser plug-in.

Through the DID protocol, Branche enables decentralized data management and provides a higher degree of privacy protection, while the AI browser plug-in helps users automatically capture interactions and knowledge graphs to create personal AI assistants for them.

In short, Branche aims to help individuals regain sovereignty over their personal data and empower them with personal AI capabilities through personalized data. Through semantic privacy DID protocols and zero-knowledge proof technology, Branche works to create a seamlessly connected Web3 world where data becomes a semantic representation of identity and provides identity programmability for web states.

Core Benefits

The Branche protocol has three core benefits: semanticization, zero-knowledge, and no licensing.

First, semantics is a key feature of the Branche protocol.

By semantically representing each user's data, the protocol expresses the user's ontological description and behavioral logic in natural language and translates them into vector data form. This means that data can be retrieved through natural language descriptions, enabling more readable, scalable and usable data. It is similar to an ecosystem-independent language that exists in all ecosystems.

Second, Branche employs zero-knowledge technology.

By using de-identified, undirected and privacy-preserving data structures, the protocol enables the combination of all user identities. Users can invoke their data at any time for self-identification, social trust building, knowledge proof, and other operations to prove the validity of their data. Data sovereignty is ensured by the embedded zero-knowledge technology. In the future, users can even use zero-knowledge language models to prove their data, thus creating "automated trust".

Third, the Branche protocol enables permissionless interactions.

Under this protocol, all interactions are local and do not require permission. The user's data exists independently in any storage space as a DID file. Users can choose to store their data locally, use proxy storage, or host it centrally. Users can retrieve their data credentials whenever and wherever they want, without relying on permission from any centralized service provider. Users have full control over the proof and verification of their identity.

In summary, by semantically representing data, protecting privacy and enabling data sovereignty using zero-knowledge technology, and enabling autonomous data interactions without permission, the Branche protocol provides users with a more flexible, secure and autonomous way to manage their data.

Core Product - Branche AI

Branche AI is the core product of Branche and the core component to realize Branche's vision.

Branche AI extends the user's consciousness into an artificial intelligence system that provides personalized services and gives the user full control. At the same time, Branche AI leverages semantic behavior data and knowledge graph parsing algorithms to achieve cross-platform generalization capabilities and provide users with multi-functional intelligent assistance in different scenarios.

Its advantages are mainly reflected in three features: personalization, autonomy and multi-functionality.

Firstly, Branche AI has the feature of personalization.

Branche treats each user's AI as an extension of his or her own consciousness. Users can input their own intentions and knowledge background into the AI. In everyday use, the AI provides personalization through its stored second brain, such as customized recommendation algorithms and filters that help users regain the right to choose from the enterprise.

Second, Branche AI is autonomous.

It is independent of any large language modeling service. Users can choose to use any language model (even future native models) to activate Branche AI without licensing. Users have full control over all components of Branche AI and can run it as their own assistant, becoming their own agent.

Third, Branche AI is versatile.

It uses semantic behavioral data and knowledge graph parsing algorithms to apply the generalization capabilities of large language models to users' everyday data streams, enabling cross-platform generalization capabilities. In the future, by accessing smart devices (e.g. OCR/multimodal technology), it can even solve the problem of limited cell phone functionality and realistic scenarios of generating invalid proofs.

Product Core Architecture

The core architecture of Branche consists of the following components: Application, DataPod, PKM, DMP, ZK-Provider, AI-Provider and Extensions. Each component is responsible for a different function.

1、Application

Includes native applications developed by Branche, such as the first product AI browser plugin, to capture user interactions and knowledge graphs and to form user profiles. It also includes applications created by the developer community or third-party developers, such as the future zkHandShake, zkDSP, and zkJob.

2、DataPod

DataPod is Branche's local data storage container for managing user data, permission management and authorization signatures, etc. DataPod also serves as a tool for user authentication and provides interaction in application and data invocation.

3、PKM

Personal Knowledge Management (PKM) is mainly used to extract and index user data memory, including personal knowledge base, second brain and knowledge management. In the future, users can license their data as open knowledge bases/robots to provide contextual knowledge to other users and earn revenue from licensed knowledge.

4、DMP

Branche's DMP data engine is a chained storage protocol consisting of a data processing module, a distributed vector database, and a data service API. Data is imported through an AI-Provider on the user side and stored in a vector database that interacts with the DataPod. Developers can query the public data of each individual and develop/analyze applications based on the Branche ecosystem.

5. ZK-Provider

As a standalone ZK-Provider, supported by Mina ZkApps, Branche's eco-applications can run in any chain environment and ensure privacy and data authenticity. It supports off-chain smart contracts and data interaction within the Branche ecosystem.

6、AI-Provider

When using Branche's eco-applications, users need access to the Language Model (LLM) service to obtain semantic functionality. Users can choose to access the model through local, official or third-party means. Currently, Branche is working on techniques and papers related to cryptographic operations on large-scale language models to ensure that users' private data is securely protected when using large-scale models.

7. Extensions (Ecosystem)

In the Branche ecosystem, all components are modular and users can build extensions to create more data ecosystems. branche encourages developers to develop extensions based on the Branche protocol to provide more underlying extensions for privacy data.

Data Advertising Engine

Branche has implemented a decentralized data engine by using Zero Knowledge (ZK) technology and off-chain smart contracts. This innovative protocol has great potential for data management and privacy protection across industries.

The protocol's data engine uses a decentralized design, digitizing each piece of data using ZK technology and uploading the evidence generated from the data to Mina via Snarky. this approach allows data to be compressed and stored in a more efficient manner, making it easier to manage and transmit. ZK technology also ensures the abstraction and de-identification of raw data, protecting user privacy and allowing data to be shared and utilized.

At the same time, the application of off-chain smart contracts allows Branche to reduce the cost and processing time associated with on-chain smart contracts. This off-chain approach not only enables faster and more efficient data processing, but also maintains the security and integrity of the data.

Branche's data engine has a wide range of promising applications. In the financial sector, it can help protect the financial privacy of users and facilitate secure data sharing. In healthcare, the engine can ensure that sensitive patient data is handled properly and authorized for use. In supply chain management, it can improve the efficiency of data tracking and verification, ensuring transparency and trust in the supply chain.

In summary, Branche's data advertising engine leverages zero-knowledge proof technology and off-chain smart contracts to enable a lightweight, private and decentralized platform for efficient data handling. This innovative solution will drive advances in data management and privacy protection across industries, bringing a more secure and convenient data experience to users and businesses.

Governance Model

Community involvement plays a significant role in Branche's governance structure. It consists of two main components, Branche Labs and Branche DAO.

Branche Labs is a core team of founders, core developers and supporters. They are responsible for the early decisions, development and operations of Branche.

The Branche DAO is the central governance organization in the Branche ecosystem building process. It will determine agreed prices, reserves, subsidies, incentives, etc. to ensure the perpetuation of Branche, and the Branche DAO will set thresholds for different users and select agents through screening and voting. Any Branche DAO community user can make a proposal.

Branche's core exchange contract is deployed by Branche Labs' official multisignature address and is designed with a time lock. Core contributors will be invited to become multisignature members.

Also, there is a governance contract Branche Everlast to focus on.

Branche Everlast is a governance contract initiated by Branche Labs that invites users to share their data revenue rights in an exponentially decaying manner. A portion of the data proceeds will be used to support sustainability and liquidity incentives for the Branche ecosystem. These include decay rates, dynamic drip and withholding pools.

1. Decay Rates

Users can choose different decay rates, i.e. share data revenue rights with Branche for a specified period of time.

2、Dynamic drip

In order to maintain market stability, dynamic drip irrigation automatically adjusts data prices to avoid excessive volatility in order to adapt to the dynamic nature of the market and changes in market fervor.

3、Withholding Pool

The withholding pool is a fund pool designed for sustainable incentives for Branche. Through community shared revenue (voluntary taxes), it serves as an incentive budget for future Branche and acts as an auto-regulator of the market.

Currently, Branche is in its early stages, with technology options and ecosystems yet to be defined. branche is open to any ecosystem and is committed to improving its scalability to apply to more ecosystems in the future.

Currently, Branche is working with dozens of Web3 projects to build the future Branche ecosystem and data privacy engine.

Conclusion

In the future development of the data track, we can expect a new era centered on the return of user data sovereignty. As concerns about personal privacy and data security continue to rise, data management and protection will become important issues.

Meanwhile, advances in technology will drive innovation and application of data privacy protection technologies, providing users with a more secure and trusted way to exchange and share data.

In addition, the improvement of data compliance and regulatory environment will also become an important direction for the development of data track. Governments and regulators will strengthen data protection regulations and encourage legal, fair and transparent data use. Technological innovations such as blockchain will help ensure compliance in data use and provide a foundation of trust for users and enterprises.

However, data ethics and social responsibility are equally important. In the widespread use of data, we need to think about the ethical principles of data use to avoid abuse, bias and inequality. By focusing on data ethics and social responsibility, we can build a just and inclusive data ecosystem where everyone can benefit from the development of data.

Overall, the future data track will be characterized by the return of user data sovereignty, enhanced data privacy protection, a robust data compliance and regulatory environment, and a focus on data ethics and social responsibility. This new era will bring more opportunities for individuals and enterprises, promote the rational, secure and sustainable development of data, and help build a more just and transparent digital world. We look forward to a future that is full of hope and potential.