danil21: AQUA INTELLIGENCE

Revolutionizing the hospitality industry with comprehensive decentralized profiles for consumers in the international market

Disrupting the Hospitality Industry

Current solutions used by the hospitality industry contain segmented and inaccurate data as a result of outdated software solutions built without data intelligence. AQUA is now disrupting the landscape by developing the hospitality industry’s first comprehensive data solution using AI and blockchain technology. Through this revolutionary approach, AQUA is helping businesses increase their revenue through personalized offerings to their customers, increased operational efficiency, and using machine learning to perform efficient marketing. At the same time AQUA allows customers to validate their data and optimize their loyalty benefits through participation in our AQUA Token ecosystem. We accomplish this by leveraging our discrete data sources including, AQUA RMS, AQUA Mobile, AQUA PMS and more.

TRUSTED CONSUMER PROFILE

A secure, comprehensive profile system built on the blockchain based on validated data.

MORE REVENUE

Increase revenue opportunities for hospitality businesses with more meaningful data.

AI + PREDICTION

Artifical Intelligence and data generate valuable insight and predictions for hotels.

LOYALTY POINTS

Maximize the benefits of loyalty programs for both consumers and hotels.

API ACCESS

We plan to make our data and profiles avaiable to be easily integrated with other systems.

REWARDS AND BONUSES

AQUA Private Blockchain

Meet the Team

ANTHONY GELMAN

CEO

RICK HILTON

Advisor

HARSHA CUTTARI

CTO

TONY LAU

Advisor

LEON PASHNICK

COO

OKECHI ONYEJE

Blockchain Developer

JAIAN CUTTARI

ICO Advisor

DAVID BRAUT

ICO Advisor

ARTHUR IINUMA

Blockchain & Crypto Advisor

MYLARA SWAMY

Blockchain Developer

CLEAN, INTUITIVE & POWERFUL

AQUA Mobile, RMS, PMS and more!

We will be integrating AQUA INTEL with all our platforms such as RMS, PMS and more for the hospitality industry. Our PMS is currently being implemented in one of the largest hospitality brands.

LEARN MORE

NOTE: AQUA PMS is not part of AQUA INTELLIGENCE offering

KEY MILESTONES

Platform Development Roadmap

Below is a summary of our intended roadmap. It is subject to change, without notice, and is based on many factors, including the current industry climate, competitive landscape shifts, market conditions, user demand, and regulatory feedback. The roadmap is intended to illustrate our current plan to implement our stated technologies, as we move to solve the issues in the hospitality industry.

Token Allocation

5% Bounties & Airdrops

20% Team

30% Platform Reserve

45% AQUA Token Sale

Use of Funds

10% Legal

10% Operational Expenses

30% Marketing

20% Research & Editorial

40% Platform Development

TOKEN SALE PERIOD START:

Monday, May 7, 2018 at 9 EDT

ACCEPTED FORM OF PAYMENT:

ETH tokens only

AQUA/USD EXCHANGE RATE*:

1 AQUA: USD $0.25*

TARGET RAISE AMOUNT (USD):

US $50,000,000

TARGET RAISE AMOUNT (ETH):

US $50,000,000 / (USD/ETH rate) [1]

TOTAL AQX TOKEN CIRCULATION AT END OF TOKEN SALE:

Depends on the USD/ETH rate 1 hour before the token sale, and the amount raised in ETH at each bonus stage (see below).

BONUS STRUCTURE:

15% Bonus until May 11th

12% Bonus until May 25th

9% Bonus until June 15th

6% Bonus until June 30th

3% Bonus until July 30th

0% Bonus until September 30th

[1]: Defined 1 hour before the start of token sale. E.g. if USD/ETH = 1000, then Target Raise Amount (ETH) = US$50,000,000 / 1000 = 50,000 ETH tokens. The pre-sale tokens will be included in this ETH token count. I.e., if 20,000 ETH tokens were raised in pre-sale, then 30,000 ETH tokens remain to be raised during token sale.

Token sale not open to citizens or residents of United States and China

Once implemented, AQUA INTELLIGENCE will be the first comprehensive consumer profile system for the hospitality industry. By leveraging the latest blockchain technologies, we facilitate the consumer to monetize their data through a complete token ecosystem model.

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