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A Revolutionary anti-censorship decentralized publishing and social platform. Based on the blockchain technology, it runs on a set of computers around the world

Ontology is a project designed to bring trust, privacy, and security to Web3 through decentralized identity and data solutions. It is building the infrastructure to provide trusted access to Web3, allowing individuals and enterprises to rest assured that through regulatory compliant digital identity solutions, users and their privacy come first.

The Ontology blockchain is a high speed, low cost public blockchain. It is designed to bring decentralized identity and data solutions to Web3, with the goal of increasing privacy, transparency, and trust. To achieve this, users and enterprises are provided with the flexibility to build blockchain-based solutions that suit their needs, while also ensuring regulatory compliance. Through Ontology’s Ethereum Virtual Machine (EVM), Ontology ensures frictionless compatibility with Ethereum, the first step in the creation of the Ontology Multi-Virtual Machine and further interoperability for the chain.

At its launch, Ontology chose to forego the popular initial coin offering (ICO) model in favor of a series of community distributions and airdrops of its ONT cryptocurrency.

This helped to quickly establish both organic price discovery and a passionate community and helped the project to avoid subsequent regulatory scrutiny.

For example, for a brief period any person who signed up for the Ontology newsletter received an airdrop of free 1,000 ONT, which reached a value of $10 per token soon after the token became listed on major exchanges like Binance.

Ontology launched its own MainNet on June 30, 2018 and has been up and running smoothly since.

Ontology

Humaniq

ExchangeCoin

Airbloc

Golden Token

Zcash is a decentralized cryptocurrency focused on privacy and anonymity. It uses the zk-SNARK zero-knowledge proof technology that allows nodes on the network to verify transactions without revealing any sensitive information about those transactions.

Contrary to a common misunderstanding, the majority of cryptocurrencies on the market, including Bitcoin (BTC), are not anonymous, but rather pseudonymous; while they do not explicitly reveal the identities of their users, each user has their own public address or addresses which can be traced back to them via the methods of data science and blockchain forensics.

Zcash transactions, on the other hand, still have to be relayed via a public blockchain, but unlike pseudonymous cryptocurrencies, ZEC transactions by default do not reveal the sending and receiving addresses or the amount being sent. There is an option, however, to reveal this data for the purposes of auditing or regulatory compliance.

Zcash was first released on October 28, 2016, and it was originally based on Bitcoin’s codebase.

Zcash

Validity

Tachyon Protocol

QuadrantProtocol

Zurcoin

Krosscoin

WaykiChain

Future1coin

SALT Lending is a blockchain-based lending platform that offers users cryptocurrency-backed loans. Users deposit any combination of accepted tokens — such as Bitcoin (BTC), Ether (ETH), Litecoin (LTC), Doge (DOGE), DASH (DASH) or SALT (SALT) — as collateral to receive a loan in the form of a fiat currency or stablecoin.

SALT Lending has a native token, called SALT, that can be spent to reduce the interest rate on a loan and can be used as a secondary form of loan collateral. Currently, SALT is redeemable at a $7.50 value for interest reductions on loans, a policy and valuation which are subject to change.

The company was launched in 2016 and is operated by Salt Blockchain Inc., a for profit entity, Salt Lending LLC: Salt Master Fund II, LLC – NMLS 1711910.

SALT

Wrapped Astar

Ycash

EurocoinToken

BoutsPro

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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