Pirichain

What is Pirichain?
Piri Blockchain, or Pirichain, is built on a delegation-based proof-of-stake consensus algorithm (dPoS). In Pirichain, different methods are also included rather than the classical methods used in blockchains. As its name is known, it was inspired by the famous Turkish traveler, Sailor Piri Reis.
Pirichain's biggest innovations besides the standard transactions available on blockchains; adding special data into transactions and creating smart scenarios based on addresses.
Pirichain Smart Scenario System consists of address infrastructure, not token infrastructure like Ethereum's Smart Contracts. Thus, the addresses of smart scenarios are directly individuals or institutions. In the address-based system, it is not possible to engage in undesirable situations such as forgery/fraud. Smart scenarios, such as SQL language; It has the roles of querying the information in the block network, making transactions, running a trigger or sending data / assets to another smart scenario. Thus, in addition to being fully compatible with the Web 3.0 concept, it also provides an infrastructure to create an information ecosystem built on blockchain technology, which is very rare in the world.

**New Era For Working with datas and assets in Blockchain Industry Helping With Smart Scenarios **




Modelling Your Database and Making Smart Scenario with advanced functions our systems.The first data based blockchain system.

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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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