HAI Project (HAI) ICO classificação e detalhes

Sale

14 de mai. de 2018

11 de jun. de 2018

100% completou

Fundos arrecadados - sem dados

past

Pre-sale

30 de abr. de 2018

13 de mai. de 2018

100% completou

Fundos arrecadados - sem dados

past

Detalhes do token

Ticker

HAI

Moedas Aceitas

ETH

Detalhes da Companhia

País registrado

Switzerland

detalhes adicionais

KYC

sim

Categorias

Plataforma, Serviços prestados às empresas, Big Data, Inteligência artificial

Sobre HAI Project

Sobre o Projeto HAI

É a primeira Inteligência Artificial Híbrida a combinar 3 setores críticos que governam a economia do nosso meio ambiente, embora não possamos vê-lo tão claramente. O principal objetivo da HAI é oferecer aos pequenos empresários a chance de competir com grandes empresas com milhões de dólares destinados à pesquisa de mercado e marketing, ter a chance de fazer negócios lucrativos e finalmente proteger a si mesmos e seus negócios de criminosos de todos os tipos. pelo mundo. Criando um poderoso Hybrid-AI combinado com uma infra-estrutura ecológica não há fronteiras, proporcionando a oportunidade de operar este sistema de HAI através do uso da tecnologia de cadeia de blocos (tokens ERC20 e Smart Contracts) todos os usuários com tokens HAI serão capazes de beneficiar do projeto.

% name% Roadmap

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 dierent 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 ocial
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.

consulte Mais informação

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.