AZBIT TOKEN (AZ) is a decentralized cryptocurrency asset founded by the Seychelles-based Azbit platform. The Azbit (AZ) token project was announced in 2018 at the Consensus conference held in New York. Azbit Platform provides services such as spot trading, margin trading, initial exchange offerings and more to enterprises and retail private users.  As Azbit's native token, the AZ ecosystem is constantly improved on a daily basis in order to empower users and community members.  The main focus of AZ Token is to provide all customers with a safe and reliable trading experience, and to become one of the major industry players. AZ Token also acts as a proof of Azbit community member's rights. Holders will have the right to vote on future business decisions, team elections and receive community bonuses.

Azbit

Trust Wallet

MetaMask

AZBIT TOKEN (AZ) is a decentralized cryptocurrency asset founded by the Seychelles-based Azbit platform. The Azbit (AZ) token project was announced in 2018 

BNB Smart Chain (BEP20)

PancakeSwap

Trust Wallet Token

SafePal

BinaryX

Little Rabbit v2

Wizardia

KCCPAD

STARSHIP

Rainbow Token

Cyclone Protocol

CryptoBlades

pSTAKE Staked BNB

Oggy Inu (BSC)

Carbon

Seed.Photo

Ents

Ctomorrow Platform

Pop Social

KABOSU

X-CASH

Ubex

Humaniq

KingXChain

Nitro Network

ABCC Token

VinDax Coin

Graviocoin

Future1coin

CMITCOIN

Aeron

BitKan

OceanEx Token

Silent Notary

QuadrantProtocol

Netkoin

BlockCDN

Obitan Chain

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.