Iagon
Iagon
Token: IAG


We Revolutionize The Cloud

ICO dates
Start date: 2018-04-02
End date: 2018-04-30

Registrated in: Norway

Platform: Ethereum
Type: ERC223

PREMIUM ICO

HARA

Empowering billions by utilizing a global and transparent data exchange.
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Goal: 17,000,000 USD
Price: 1 HART = 0.059 USD

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https://www.iagon.com Screenshot
Iagon categories
Artificial Intelligence Big Data Business services Infrastructure Platform Software
Iagon whitepaper
Video
Iagon token sale
KYC passing required No | Whitelist Yes | Restriction for countries KYC for US Residence
Soft cap 30,000,000 USD
Hard cap 77,000,000 USD
Tokens for sale 700,000,000
Token distribution in ICO
70%
70%
Price 1 IAG = 0.12USD
Price in PreICO 1 IAG = 0.07 USD
Acceppting BTC, ETH, Fiat
Iagon news, social
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Random whitepaper excerpts

TABLE OF CONTENTS
OVERVIEW
3
INTRODUCTION
5
MARKET OUTLOOK OF CLOUD STORAGE SERVICES
6
MARKET OUTLOOK OF CLOUD COMPUTING SERVICES
6
IAGON’S AI-BASED COMPUTATIONAL PROCESSES
7
IAGON’S MULTIPLE BLOCKCHAIN SUPPORT
9
IAGON’S SECURE LAKE TECHNOLOGY
9
IAGON’S SMART GRID PLATFORM AND AI-TRACKER TECHNOLOGY
11
CASE STUDY
12
REGULATIONS
13
ARCHITECTURE
14
REINFORCEMENT LEARNING
15
DATA MINING
16
BLOCKCHAIN
17
THE TANGLE TECHNOLOGY
18
MINING ALGORITHM
18
RESOLUTION PROTOCOL
20
ENCRYPTION/DECRYPTION
20
ICO AND OPERATIONS
20
PURCHASING TOKENS VIA FIAT MONEY TRANSFERS
21
THE IAGON TEAM
21
PUBLIC REVIEW OF THE TOKEN CONTRACT
22
DISCLAIMER
22
REFERENCES
23
...

OVERVIEW
IAGON is a platform for harnessing the storage capacities and processing power of multiple computers
over a decentralized blockchain grid. IAGON utilizes enables to store big data files and repositories, as
well as smaller scales of files, and to carry out complex computational processes, such as those needed
for artificial 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 a...

As more and more companies will recognize the benefits of IAGON’s platforms for storing files and process-
ing them, the demand will increase and so will be the demand for the token – the way customers pay grid
participants.
IAGON’s token and platform are proven services with our Ethereum-based blockchain beta version, proving
the concept of blockchain-based distributed computing and storage grid. IAGON plans to support also the
new and innovative Tangle technology that provides an alternative, rapid and lower cost solution for oper-
ating the blockchain technology. Thus, IAGON will establish two blockchains – on Ethereum and on Tangle
– providing the complete flexibility and freedom of choice to our users and miners.
Our ICO aims at further developing our platform and the client program that will be used by any party that
would like to join our IAGON grid and benefit from its unused computer resources.
IAGON will offer the lowest fees in the cloud industry to customers who purchase storage capacity an...

INTRODUCTION
The recent development in Artificial Intelligence (AI) and Big Data technologies and the
dramatic increase in adoption of these technologies signify an ongoing and exponentially growing demand
to both storage capacity and for computational processing power vis-à-vis the broader adoption of these
technologies.
Big Data technologies such as the Hadoop framework (notably its MongoDB, HDFS and Spark databases)
require vast amounts of storage capacity, either in a centralized or a distributed manner, for processing and
managing Big Data files. To a large extent, Big Data technologies support the exponential growth of data in
any type of organization, within web based services and social networks and their implementation is essen-
tial to support the proper operation and processing of these vast amounts of data (see Fig. 1).
Machine learning and deep learning processes (notably Google’s TensorFlow, Caffe and Theano; see also:
Dean et al., 2012, Ray, 2017) carry out advanced computational pattern...

MARKET OUTLOOK OF CLOUD STORAGE SERVICES
Cloud data storage is based on the delivery of files 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 files 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 first days of cloud
storage services and until recently concerns over the protection of data, the reliability of centralized data
centers, the liabili...

The market for AI applications is expected to grow substantially in the coming years. Figure 2 presents
some of the expected common uses and the revenues from their commercialization in the near future.
Nonetheless, the widespread implementation of AI processes requires increasingly powerful computational
facilities, due to the complexity of these operations. Therefore, companies
invest vast amounts in purchasing GPU and CPU units that are dedicated to carry out this scope of compu-
tations, or purchase at a great expense processing power from one of the cloud processing providers (i.e.
Amazon Web Services, Google Cloud, Microsoft Azure and IBM).
Figure 2:
Estimated revenues for typical AI use cases in 2025
(Source: Tractica)
IAGON’S AI-BASED COMPUTATIONAL PROCESSES
Just like a human brain, AI and machine learning algorithms require inputs of data to deduce an inference.
Data mining is the computing process of discovering patterns in large data sets and helps reduce large sets
of data str...

The blockchain technology provides a unique and fully secure solution towards processing, storing and
distributing data and maintaining their consistency and integrity that can be used for use cases like decen-
tralized processing. The blockchain is simply blocks of data hashed together and chained using previous
hashes and its current block to maintain consistency across the chain (Vijayan, 2017). Blockchains use the
SHA256 algorithm to create a hash. The unique nature of the hash makes its resource intensive to crack as
the SHA256 hash can only be broken today through brute force with computational power that is not avail-
able yet in the commercial hardware market (Vijayan, 2017).
Distributed data mining of large datasets was introduced by the SETI Institute through its BOINC program
(Estrada et al., 2009). The introduction of ‘Bitcoin’ and the proof of work mechanism allowed a framework
for providing incentives to data miners for work and energy to accomplish a large series of computations
expanded to pr...

IAGON’S MULTIPLE BLOCKCHAIN SUPPORT
IAGON aim at providing its users and miners complete flexibility and freedom of choice in providing and
consuming decentralized cloud services . Hence , IAGON will provide a multiple blockchain solution ,
running its cloud storage and processing operations both on the Ethereum blockchain and on Tangle.
Users and miners can choose either Ethereum or Tangle to fully securely store their files, to process com
- putational tasks , to pay and to receive IAGON tokens for cloud services , and primarily to benefit from
huge advantages in gaining access to the market’s prominent and state-of-the-art technologies.
IAGON’S SECURE LAKE TECHNOLOGY
The Big Data market is characterized by the recent adoption of Data Lake architectures, such as informa-
tion systems that are based on the Hadoop framework, by large companies. The Data Lake architecture is
based on implementation of a NoSQL central database (such as MongoDB, HBase or Cassandra) in which
files of any sort can be sto...

Iagon Roadmap

1
Sept. 2017
Platform Design & Architecture.
2
Oct. 2017
Platform Development Kick Off.
3
Nov. 2017
Whitepaper Presentation.
4
Dec. 2017
Platform Launch.
5
Apr. 2018
Pre-ICO.
6
May. 2018
ICO Launch.
7
March. 2018
Smart Contract.
8
Aug. 2018
Distributed Storage.
9
Aug. 2018
Distributed Storage.
10
Nov. 2018
Distributed Processing.
11
Jan. 2019
Integrated DApps.
Carine Zeier
Advisors Carine Zeier Business Development Advisor

Sohel Ahmed
Advisors Sohel Ahmed Business Development Advisor

JK Song
Advisors JK Song Business Marketing Advisor

Chris Abdey
Advisors Chris Abdey Blockchain Business Advisor

Petr Kosikhin
Advisors Petr Kosikhin Blockchain Architect Advisor

Trond Skundberg
Advisors Trond Skundberg Business Development Advisor

Arvid Strand
Advisors Arvid Strand Business Development Advisor

Dr.Elad Harison
Co-Founder Dr.Elad Harison COO

Dr. Claudio Lima
Co-Founder Dr. Claudio Lima CTO

Vignesh Iyer
Developer Vignesh Iyer Project Manager

Jai Porje
Developer Jai Porje CIO

Vishal Waman
Developer Vishal Waman Project Lead & Fullstack Developer

Priyanka Pareek
Developer Priyanka Pareek Blockchain Business Analyst

Vijayta Bhatt
Developer Vijayta Bhatt Fullstack Developer

Dr.Navjit Dhaliwal
Founder Dr.Navjit Dhaliwal CEO

Eva Štrus
Marketing Team Eva Štrus Marketing Manager

Rose Marie Taylor
Marketing Team Rose Marie Taylor Project Lead

Inged Sanchez
Marketing Team Inged Sanchez Community Manager

Pavlo Babenko
Marketing Team Pavlo Babenko Community Manager

Darko Angelovski
Marketing Team Darko Angelovski Community Manager

Chris Abdey
Chris Abdey
Blockchain Business Advisor
Client Retention and Customer Management
Advisor-Crypto Market Expert
Eva Strus
Eva Strus
Digital Marketing Strategist
Petr Kosikhin
Petr Kosikhin
Blockchain Architect Advisor
Software Engineer
Priyanka Pareek
Priyanka Pareek
Blockchain Business Analyst
Blockchain Developer
Lead - Token Crowdsale
Blockchain Specialist
Vignesh Iyer
Vignesh Iyer
Project Manager
Blockchain Developer
Chief Blockchain Architect
Blockchain Specialist
Blockchain Architect
Vijayta Bhatt
Vijayta Bhatt
Fullstack Developer
Smart Contracts & DApps
Blockchain Specialist
Lead Blockchain Developer
Fullstack Developer
Vishal Waman
Vishal Waman
Project Lead & Fullstack Developer
Project Lead