uKit AI

uKit AI

Created using Figma
Created using Figma

Last Update

Apr 17, 2018

uKit AI 1.0 – the generative design service. The service uses a combination of neural networks and regular algorithms to search for new ways to arrange content and visualize website pages. It then puts everything together by using HTML and CSS coding to create a ready-to-use, adaptive front end. In the next version (uKit AI 2.0.), the service will generate multiple options of a single page to suit di erent audiences, based on the data sets from uData. These multiple design versions will form a dynamic landing page. We are bringing together all tools necessary for personalizing any website for different audiences within one cloud-based platform. With its release, both sides of the market will get what they want: any website owner will be able to increase conversion rates with the help of AI technologies, while website visitors will enjoy the convenience of personalized web pages.
ICO
Feb, 2018
May, 2018
100% completed
$1 800 000
hard cap
goal
cap
72% cap completed
Goal 10 000 000.00 USD
Cap 2 500 000.00 USD
Hard cap 10 000 000.00 USD
past
  • 1 UKT
    =
    0.02 USD
Pre-ICO
Dec, 2017
Jan, 2018
100% completed
$220 000
100% goal completed
past
  • 1 UKT
    =
    0.015 USD
Token Details
Ticker
UKT
Accepted Currencies
ETH
Company Details
Registered Country
Russia
Additional Details
Platform
Ethereum
KYC
Yes
Categories
Cryptocurrency, Entertainment, Business services, Internet-technology, Big Data, Artificial Intelligence

About uKit AI

The survey held by Approved Index in 2017 among British individual, small and medium- sized enterprises showed that launching a website allowed companies to increase their turnover by 45-62% [Approved Index, 2017].

Consumers and businesses face di erent sides of the same problem: the problem of personalizing, delivering and receiving a targeted message in the right format and at the right time. Seventy-seven percent of Internet users polled by Hubspot in 2016 said they would prefer seeing customized advertising messages rather than blocking ads completely in the browser. Obviously, intrusive and irrelevant ads have become a nuisance to web visitors looking to make a purchase.

Automated personalization of content has become the most anticipated technology according to the heads of advertising and marketing departments in the US [eMarketer, 2017].

What We Offer?

The uKit AI 2.0 platform that brings together a set of tools and services to customize web pages follows the principle of a dynamic landing page (di erent designs are kept at a single website address and a specific design is triggered depending upon the data on each audience segment), and uses machine learning practices as well as the data about each segment’s behavior.

uData — the base with datasets of how user segments behave on the Internet. The database is updated both through purchasing information from data management platforms (DMPs) where the details of di erent players of the advertising industry (websites, apps, advertising agencies, etc.) are forwarded, and thorough data contributions from other project members. Basically, uData will make it possible for everyone to use big data (consumer habits, interests, results of previous interactions, and so on) to automatically customize websites for di erent audience segments.

When a user visits the needed URL address, the system will automatically identify which segment this user belongs to and generate a list of recommendations to rebuild your landing page based on the details of their previous behavior. Users will be able to get a part of the token by sharing the amounts of data about how visitors behave on their websites. If a user decides to pass the data to our system, the transparency of this exchange will be ensured by blockchain.

Features

Artificial intelligence monitors the website as a marketer, analyst and designer. AI identifies site visitors and figures out what they like; machine learning is used to improve the conversion; AI learns from the data: contribute and get tokens in return. It is based on:

  • Artificial intelligence: deciding what kind of website a person will most likely enjoy.
  • Generative design: rebuilding a website on the fly.
  • Blockchain database: giving traffic contributors an opportunity to earn by educating the system.

Technical Info

Each member of the uKit AI ecosystem, if they wish, may contribute to the uData common database by providing datasets that combine the following information:

  • DTIME of an event
  • DMP profile of a visitor
  • URL of a resource visited by the user
  • LEAD result (whether the goal was achieved, the goal characteristics)

At the end of each reporting period (1 day or 1 hour), the uData system generates a record in a centralized public transaction log that contains a summary about the data added to the system by each member and the estimated number of tokens that will be transferred to each participant as a reward at the end of the HOLD period.

The estimated reward is calculated based on the percentage of data contributed by a participant, relative to the total amount of data in the system. The actual reward is calculated at the end of the HOLD period.

The record in the public transaction log is signed with a key that is added to the blockchain of the uData smart contract in the Ethereum system, which ensures that there’s no way to falsify the information in the public transaction log, despite the information storage being centralized.

At the same time, the centralized storage of the transaction log makes it possible to provide any level of detail in the report, since there’s limitation for the total amount of data stored in the Ethereum blockchain.

Utilizing UKT tokens

The data accumulated in the uData system are used for machine learning of the SMART models that allow community members to benefit from dynamic adaptation of the web pages for visitors. The SMART models will be constantly improving and learning by using new data received from the members of the system.

In order to provide users with the right to use uData in the proportion each user contributed to the development of the system, there's a mechanism of utilising tokens which allows processing a certain volume of traffic by using SMART models, which is proportional to the total amount of convertible traffic for the last completed reporting period prior to the current one.

Each batch of 10 000 tokens entitles you to a one-time conversion in the amount of 0.001% of all traffic that went through the system.

uKit AI Roadmap

  • November 2017

  • uKit AI 1.0: recongition and evaluation systems.
  • December 11, 2017 – January 1, 2018

  • Pre-ICO.
  • February 19, 2018 – May 1, 2018

  • ICO. Soft Cap of $2.5M, Hard Cap of $10M.
  • February 2018

  • Using tokens to pay for existing products: uKit/uLanding.
  • Read More
  • April 2018

  • uKit AI beta version.
  • May 2018

  • uData development start.
  • June 2018

  • Blockchain-based system to vote for product features.
  • July 2018

  • uKit AI release.
  • August 2018

  • uData beta version.
  • September 2018

  • uKit AI 2.0 beta version: design based on data.
  • January 2019

  • Release of the entire platform.

Activity

Activity:
45
VERY LOW
Posts:
322
MEDIUM
Views:
2 556
LOW
Activity:
33
VERY LOW
Merit:
0
VERY LOW
Posts:
49
VERY LOW
Views:
1 762
LOW
Users:
26
LOW
Posts:
133
MEDIUM
Followers:
4 975
MEDIUM
Likes:
4 837
MEDIUM
Followers:
2 975
MEDIUM
Tweets:
230
MEDIUM
30 Days Growth:
-33
Members:
3 211
MEDIUM
30 Days Growth:
-245
Year commits:
166
Watchers:
14
Stars:
13
Forks:
4
Open issues:
2

uKit AI Team

Verified 100%

Evgeny Kurt
CEO
verified
Irina Cherepanova
CPO
verified
Pavel Kudinov
CTO
verified
Roman Steinberg
Leading Data Scientist
verified

3 ICO

$2 020 000

Oleg Pavlov
Head of SMM and Direct Marketer
verified

uKit AI Interviews

Evgeny Kurt
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
CEO
Irina Cherepanova
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Supervises marketing and development of all products of the uKit family. We are bringing together all tools necessary for personalizing any website for different audiences within one cloud-based platform.
Pavel Kudinov
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
An architect of uKit AI and uData. With uKIt AI 2.0 release, both sides of the web market will get what they want: any website owner will be able to increase conversion rates with the help of AI technologies, while website visitors will enjoy the convenience of personalized web pages.
Roman Steinberg
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
My role is to make AI capable to support humans in web-sites building. The idea to help people in site building sphere is great, but I expect our implementation of this idea will be incredible.
Oleg Pavlov
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
I'm managing SMM at the company, helping the audience understand our service so that their work with uKit is as comfortable and effective as possible

uKit AI Last News

3.91
stable
5.0 17
ICO Profile Vision Activity Potential Product Team
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