ParkCoin

eated by Pundi X in 2024, Pundi AI democratizes artificial intelligence development through a decentralized suite of tools. It offers services ranging from an omnilayer, data tagging and annotation platform, AI agents to an AI marketplace for trading of data.

Pundi AI suite of tools:

Pundi AI Data platform

Pundi AIFX Omnilayer

Pundi AI Data Marketplace (coming soon)

Pundi AI MM Agent

The Pundi AI Data platform provides professional data, labeling and annotation services, ensuring AI data remains open and accessible to all. Decentralized users can participate in tag-and-earn of data and contribute to the advancement of AI.

Powered by the Pundi AI omnichain layer, activities are securely recorded on-chain and integrated with IPFS and various blockchains, paving the way for a decentralized data exchange. With PURSE+ browser plugin on x.com, users can actively contribute by tagging and annotating data for social AI, fostering a more participatory ecosystem.

Pundi AI

BlockCDN

DucatusX

NAGA

Airbloc

Wrapped OKB

Tachyon Protocol

Junkcoin

Humaniq

HoboNickels

PumpBTC (Governance token)

Kleros (PNK) is a decentralized dispute resolution project that launched in July 2018. It is an open-source online dispute resolution protocol that uses blockchain and crowdsourcing to adjudicate disputes fairly.

Kleros offers a middleman service for decentralized applications (DApps) and their users. If the service provided by the application does not create a dispute, Kleros acts as a trustless third-party service for payment.

When a dispute does occur, however, each party can apply for arbitration through the Kleros arbitrators that are selected from the owners of PNK tokens. PNK is an Ethereum-based ERC-20 utility token with a fixed supply.

At this point, the jurors can make a decision that will favor either party. The arbitration fees are distributed to all arbitrators in the form of ETH; jurors who have issued a minority decision lose part of their PNK tokens for the benefit of the majority of jurors. This decision can be appealed, at a cost. The stated mission of Kleros is to offer easier access to justice and improve individual freedom.

Kleros charges a cost that is payable in ETH and is provided by the parties to the dispute or drawn from the funds previously locked in escrow.

Kleros

Wirex Token

Dragonchain

Mysterium Network is an open-source ecosystem of protocols, tools, and Web3 infrastructure making the internet borderless and accessible for all. The network gives both users and builders the tools they need to safeguard their online anonymity and equal access to information. Mysterium held a token sale through which it raised $14 million CHF.

Mysterium is powered by its permissionless, peer-to-peer network. Anyone can turn their device into a node and rent their spare internet resources, such as bandwidth or IP address, in exchange for cryptocurrency. The network is tamper-proof, anonymous, and encrypted like Tor, but with superior usability, stability and speed.

Mysterium’s B2B Network-as-a-Service lays the groundwork for all kinds of enterprise-level services to be built, including the project's flagship product, the Mysterium VPN, available for Android, Windows, Mac and Linux (iOS in 2022). Developers and entrepreneurs can build private, censorship-resistant tools, and businesses can make their products globally accessible and secure. The technology is fully compatible with both Web2 and Web3 platforms and can be integrated with VPNs, proxy services, DeFi wallets, browsers, search engines, data scraping solutions, and streaming apps, building censorship-resistance into the apps we already use.

Mysterium

dHedge DAO

Validity

CyberVein's big-data solution is based on the PISR (private, interlink, secure, robust) distributed database, database operations are stored on CyberVein blockchain network which runs on a Proof-of-Contribution (PoC) consensus mechanism. The solution is focusing on enterprise-level "blockchain + big-data" customized services.

CVT is the native utility token that is used for:

Storage payment: The data owner pays the corresponding storage fee based on the file size and bandwidth consumed in such a process.

Computing power payment: Payments from user to owner for usage, and remuneration for software developers is going to be exclusively conducted in CVT.

Data exchange: On CyberVein's federated learning platform, the data acquirer trades the data at a price contracted between the two parties for distributed modeling applications.

CROSS NFT issuance payment: Dapp businesses are obligated to pay for Storage and Data Exchange in light of network resources occupied, and may set up CyberVein token as a means of payment to issue NFT or conduct business in accordance to their desired business model.

CyberVein tools include:

PISR Consortium database, creates better data management: through safe and reliable virtual machine operation and maintenance of user data, data is efficiently aggregated for upstream data, and data traceability and tracking are realized to ensure the reliability of data sources and outputs, and achieve cross-level, cross-departmental data sharing to improve the timeliness, diversity, stock and density of data to realize the commercial value of data, and truly solve the problems in data flow.

DAG storage chain, creates safer data storage, with better efficiency, no block confirmation, low transaction fees, and also eliminates miner, supports asynchronous verification and parallel processing of each node, the more nodes, the faster the speed, the stronger the scalability, which leads to better scalability. The database backup on DAG storage chain provides an extra layer of security for businesses.

Cytrix, allows GPU to be shared. Nodes can contribute part of their GPU to the network, in return for compensation through the Proof of Contribution mechanism. The contributed GPU can aid enterprises or individuals in data modeling with federated learning.

Federated Learning Platform, enables data to be monetized. Federated Learning is a distributed machine learning workflow. The datasets are first trained locally, and the data of all parties is kept locally, without revealing privacy or violating regulations.  Individual terminals return trained models to the server to create a shared model. Effectively protect data privacy and security, solve the problem of information silo, and thus realize the value of data. The platform will also provide algorithms to support data modeling operations by enterprises and individuals.

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