Quadrant - A platform for mapping decentralised data

Well everybody know about BigData, it is a large collection of data. A large amount of data is required to fuel our algorithms. Say for example artificial intelligence requires a large amount of data in order to make decisions. But today's data world is fraught with many problems. Like data supplier supplies incomplete or fragmented data, which has questionable authenticity. And this incomplete data makes incorrect functioning of algorithms. The main reason why data supplier provides incomplete data is because they are not incentivized correctly. In order to make healthy and transparent data economy, fair revenue system between vendors and data producers is necessary.

Problems with current data economy :

AI data gap - Artificial Intelligence data gap is for small companies. Is because AI innovations require a vast volume of data. And these small companies have small quantity of data and therefore they cannot use AI for their company. With small quantity of data you can't do decision making AI systems.
Unauthentic data - This is a major problem with the current data economy. You can get data from any source but the question is the authenticity of data. If this poor quality of data fed into algorithms then it will produce poor quality results. If data producers provide fake or incomplete data then it's of no use.
Unsustainable ecosystem - If the data producer is incentivized correctly then he will provide authentic large volume of data. Because of unfair revenue system data producers provide inauthentic small quantity of data. Data producers need to be respected and incentivized correctly.

Solution to the data economy problems :
Quadrant platform wants to solve these problem by providing blueprint for mapping disparate data. It uses proof of authenticity for stamping authentic data. In order to solve problems Quadrant has for parts :

Nurseries : Here nurseries produce stars and stars are the raw data which is collected from all IoT (Internet of Things) ie from mobile devices, laptops etc. And they stamp the data or hash and metadata or dna onto Quadrant Blockchain.
Pioneers : Pioneers collect the disparate collection of stars and turn them into constellation. It means pioneers collect the disparate data (star) and then collect similar data into groups (constellation). Example in the raw data there is different collection of data, like medical data, technical data, economical data, social data etc. And pioneers separate them to different groups.
Elons : Elons link these constellations together and form a mega innovative constellation to solve real world problems. For example take Elon Musk, he has Tesla which has autopilot system. Tesla's autopilot system requires different sets of data like traffic patterns, weather data, human behaviour data. And it collects all data together to safely run the vehicle by itself.
Data consumers : Artificial Intelligence and machine learning companies need these constellation to fuel their data driven companies. As AI need vast volume of data to function. Constellation data is required to run it. And to provide solutions to the wide range of problems.
Gaudians : These are the master nodes who protect the integrity of the chain. Gaudians ensures the data should not be compromised. Gaudians provide the services like authenticating, stamping and verifying data of constellation created by pioneers.

Quadrant uses proof of authority to handle more faster transactions, less fees and restrict malicious nodes. Quadrant uses two different currencies in its network - eQuad and Quad. Here Quad is a utility token designed solely for its network. Used for stamping data and payment subscription. And eQuad is an Ethereum blockchain based ERC20 compliant token. Which will sold during token generation event.

Token distribution -

Over 1,000,000,000 eQuad tokens will be created during the TGE. The tokens will be distributed as follows:
40% to the crowd-sale,
20% to be held by Company,
20% to the Stakeholders,
10% to the Reserve, and
10% to the Team.