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IAGON – an Open Source platform

IAGON is an Open Source platform for harnessing the storage capacities and processing power of multiple computers over a decentralized Blockchain grid. IAGON utilizes enables to store big data fi les and repositories , as well as smaller scales of fi les, and to carry out complex computational processes, such as those needed for arti fi cial intelligence and machine learning operations , within a fully secure and encrypted platform that integrates blockchain, cryptographic and AI technologies in a user-friendly way. The size of the cloud services market providing both storage capacities and computational processing capabilities to companies and to corporates is estimated by 45 billion USD per annum and it steadily grows. The market is dominated by four major players: AWS, Google Cloud, Microsoft and IBM, all utilize central and less trusted storage and computation facilities . Due to their oligopolistic dominance , the four providers of cloud services set high pricing levels. These providers are also capable of hampering any competition and preventing new market entrants from competing with them, due to the broad scale of their operations and their substantial investments in data centers, servers and storage facilities.


Cloud data storage is based on the delivery of fi les from local computers and servers into the remote servers and storage facilities that are obscure to the user, but can be accessed and managed at any time. Thereby, the reliability of cloud storage services and the privacy of users (i.e. protecting the fi les from being accessed by any party other than their owner) are paramount to subscribing to and implementing any cloud services. The market of cloud storage services is composed by a large number of companies that operate and offer data storage programs, from small data centers who cater to the needs of individuals and SMEs to large storage facilities of companies (such as Amazon, Google and Microsoft), aiming at managing their own gigantic volumes of data, but also offered to external customers. However, since the fi rst days of cloud storage services and until recently concerns over the protection of data, the reliability of centralized data centers, the liability of cloud storage companies in cases of lost or incorrectly stored fi les and the privacy of users are often expressed by experts.


IAGON leverages the Blockchain technology to maintain honesty of nodes across IAGON distributed data mining algorithm. The Blockchain uses SHA256 algorithm of previous blocks to maintain a chain link to its historical state (in this case data).This allows IAGON to incentivize miners on its platform to process data honestly and to guard against deliberate manipulation of the data output. Using the Blockchain, IAGON ’s machine learning algorithm can quickly identify if a data output mined from a block is actually a valid part of the block. This can be achieve within the framework of a simple Blockchain similar to that used by «Bitcoin» by hashing the inputs with the hash of the previous block. Genesis block are created internally within the private blockchain. The Blockchain presents a unique approach towards sharing data across a decentralized network. The data can be stored, processed and validated by a network of nodes or it can be stored and validated within an internal facility where the processing is outsourced to a decentralized network of nodes . The Blockchain allows consistency to be maintained throughout the entire data structure.


IAGON will expand its operations to support using its Smart Computing Grid and Secure Lake technologies on the Tangle platform , in addition to operating them on the Ethereum Blockchain . The Tangle technology is based on application of a directed acyclic graph (DAG). Mathematically , the Tangle generates a stochastic process on the space of Directed Acyclic Graphs (DAGs) that “grows” in time by attaching new vertices to the graph according to a Poissonian clock . Yet, no vertices (edges ) are deleted . When that clock signals the system , a new vertex appears and attaches itself to positions on the graph selected by random walk processes on the prior state of the graph (Popov et al., 2017). The application of the Tangle technology assists in resolving some of the issues associated with the implementation of the Blockchain technology for a large scale of operations , including the di ffi culties to scale the blockchain, to achieve consensus on the validity of blocks when the new blocks continuously arrive. By applying the Tangle technology , IAGON can offer an alternative solution for organizations with Big Data repositories that can support large scales of processing and storage management tasks.

Decentralized and Secure Cloud Platform

 Developing a one-stop solution for decentralized cloud based services:
Artificial Intelligence
 They use a combination of machine learning algorithms, neural networks and blockchain technology to secure their platform
 Integrated DApps
 Their trusted and integrated decentralized applications are on a single platform for every type of user
 Generate revenue by sharing your computer’s resources including processing power and storage
 Smart Contracts
 Anyone can create their own smart contracts on an easy to use user interface without writing any lines of code
 Decentralized Secure Storage
 Their unique, proprietary, secure and encrypted distributed storage solution utilizes the blockchain and sharding protocols
 Blockchain / Tangle
Utilizing a hybrid of Blockchain and Tangle technologies, they aim to revolutionize decentralize storage and processing


The IAGON Pre-sale begins on May 27th, 16:00 CEST and lasts for 30 days. Pre-sale will be done through IAGON website – https://iagon.com.
The Pre-sale offers 20% of the tokens at a price of:
• 0.06 USD per IAG token – for contribution > 25 ETH;
• 0.07 USD per IAG token – for contribution > 10 ETH;
• 0.08 USD per IAG token – for contribution > 5 ETH;
• 0.09 USD per IAG token – for contribution > 0.1 ETH;

For more information, visit the Website or read the Whitepaper.
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