SharedStake is an easy to use Decentralized Open Source Protocol that allows users to stake any amount of Ether to Ethereum-2 while keeping their staked amount valuable and liquid. 

SGT is SharedStake Governance Token with 50% of the total supply allocated to the platform users. This emission is spread across more than 2 years, until the possible Eth2 deployment date.

vEth2 is the liquid representation of staked Ether. 

It is expected that users will experience profits with yield farming pools on vEth2, vEth2 Liquidity Pool,SGT and SGT Liquidity pool with more allocated to decentralized finance colloborations.

Main objective of the protocol is improving the user experience, reliability and most importantly the profitability of Eth2 staking process in a decentralized manner.

Future improvements will make it possible to have more scalable and profitable solutions; collaborations with defi protocols, DAO, SIPs and Open Source Contributions.

SharedStake

Trust Wallet

MetaMask

Ethereum

Shiba Inu

Chainlink

UNUS SED LEO

Uniswap

SeChain

Skyrim Finance

Kuverit

Rewardiqa

Niftify

Kcash

Landbox

Indexed Finance

UniFarm

Gem Exchange and Trading

BMAX

Fideum

xx network

Ness LAB

RunesBridge

Silent Notary

FRAKT Token

United Bitcoin

Humaniq

StaFi

Validity

Super Bitcoin

Ycash

ABCC Token

dForce

BoutsPro

Graviocoin

Pascal

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.