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HAI Project

ICO Ended
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The HAI Project plans to bring a reliable, unexpensive and easy to use platform enabling users all over the world to interact with AI & use its power in Cyber Security, Finances and Business Intelligence serving as a solution for many problems in the world.
6.5
TOTAL SCORE
7.7
ICO PROFILE

(weight: 45%)

8
SOCIAL ACTIVITY

(weight: 35%)

1
TEAM PROOF

(weight: 20%)

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General
Website: Visit
White paper: Read
ICO Time: 30 Apr 2018 - 13 May 2018
Whitelist/KYC: KYC
Country: Switzerland
Token info
Ticker: HAI
Platform: Ethereum
Token Type: ERC20
Available for sale: 80,000,000 HAI (80%)
Financial
Pre-sale Price : 1 HAI = 0.0004 ETH
ICO Price: 1 HAI = 0.0005 ETH
Accepting: ETH
Soft cap: 5,500 ETH
Hard cap: 25,000 ETH
Q2, 2018
Since this is will be the initial phase of the project these

objectives are needed in order to get a healthy growth

in the following years.

Team Creation: The goal is to find at least 20+ experts

in dierent industries, those are: Artificial Intelligence,

Front-end, Back-End, Marketing, Financial, Cybersecurity

and Big Data.

Facility Arrangements: Acquire the entire infrastructure

needed to build the hosting supercomputer where the

hardware will be adjusted to the raised funds in the ICO.

Partnership Agreements: In order to get high-scope

clients it is required to find the right business partners

able to help us build a good and stable organization/infrastructure.

Release of test-net V1: The first version of our AI powered

by our own facility will be released at a 5% capacity

in order to start testing deep learning capabilities of the

system.

Exchanges Trading: Multiple exchanges will allow HAI

trading in order to allow investors to start buying tokens

for computing power assignation.
Q3, 2018
Product Development: Once research has been done

and the test-net v1 released, the future services and/or

products to be released will be fully structured, in order

to deliver them at the early 2019.

Test-Net Upgrade: After a lot of research and testing,

the main test-net of the AI will get an upgrade adding

better deep learning instructions for mass scaling

allowing the AI to decrease its learning curve.

Multiple industries learning: Once the learning curve of

the AI has been decreased, the mass learning process

will start allowing it to actively gather more knowledge.
Q4, 2018
Product Lineup Release: After legal issues have been

settled and strategic partnerships signed, the o•cial

lineup of services/products will be released allowing

business to take advantage of the HAI Artificial Intelligence.

Facility Upgrade: According to the usage of the overall

resources by the AI an upgrade will be made increasing

the computing power depending of the projected

needs.

Main-net Release: The Main-Net allowing customers to

use the AI in real time will be released to the public.

Lending Platform Release: Allowing HAI holders to lend

tokens through our web application using the power of

smart contracts.
Q1, 2019
New facility creation: In the plan of expanding the

business scope, another facility will be created adding

1,000+ GPUs to the main net, decreasing the learning

curve of the AI.

Business Expansion: Multiple locations will be opened

in critical countries allowing HAI to have a worldwide

presence.

Product Lineup Expansion: As planned previously

developed products and services will be released to the

public for business inquires.
Q2, 2019
HAI Box: Once HAI has been tested for a long period

and the self-learning capabilities have been fully developed

an enterprise environment can be reached

providing HAI Boxes to interested companies.
Screenshots taken on 25 Mar 2018
Alfredo Aguirre
CEO / CO-FOUNDER
No participating data
Alejandro Flores
CTO/CO-FOUNDER
No participating data
David Covarrubias
LEAD INFRASTRUCTURE & HARDWARE DESIGNER
No participating data
Keyla Garza
PR MANAGER
No participating data
Grecia Villegas
UX/UI LEAD DESIGNER
No participating data
Lui Ferrandiz
AI DEVELOPER
No participating data

Advisors (2)

Michael Scrollavezza
Advisor
No participating data
Parthik Acharya
Advisor
No participating data
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