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  • Allbebet

    CryptoPotato score



    Allbebet is an infrastructure project in the sports and gaming area created for higher sports achievement by using neurointelligence and blockchain technology. The Allbebet company direction of development is business model making based on innovative technologies that can unite millions of people from sport, gaming and betting industry.
    The solution implemented on the basis of the Ethereum blockchain and smart-contracts will allow to play and win with no fear of falsification. Smart-contracts protect funds and automatically distribute winnings basing on the bets’ terms and results, and AI speeds up this process providing reliable data from original sources. All this makes our platform unique and favorably distinguishes it from bookmakers.
    Opportunity to place bets within the platform ALLBEBET.BET. Opportunity to buy on the platform goods and services of clubs, players and sports partners in the "Marketpale" section. Opportunity to buy company products and services on other platforms. Opportunity of technical collaboration with other gambling sites that will allow partial or complete integration of the token ALB into their infrastructure.

    IEO Ended

    27 Aug 2019

    Total Hardcap

    Token: ALB

    Token type: ERC-20

    ICO price: 1 ALB = 0.00015 ETH

    Finite token number: 1,000,000,000 ALB

    Token Allocation: 9% Exchange Placement, 75% Stablization Fund, 3% Operational needs, 10% Team, 3% Advisors.

    Availability: USA and China are Exempted.

    Status: MVP available at: http://allbebet.bet/matches

    Accepted currencies: NEAL, USD, ETH

    IEO (Round 1)

    Date: Aug 26 - Aug 27
    Cap: 10,000,000 ALB (~1500 ETH)
    Price: 1 ALB = 0.00015 ETH

    IEO (Round 2)

    Date: Sep 18 - Sep 19
    Cap: Undisclosed
    Price: Undisclosed


    Twitter 1,993 followers

    Telegram 117 members

    Team Members

    Team member

    Raman Dolny


    Team member

    Dmitry Yakimovich


    Team member

    Aliaksandr Melushau


    Team member

    Dmitrii Efimov

    Head of machine learning Department.

    Team member

    Vladimir Gva

    Doctor of technical science. Professor.

    Team member

    Sergei Bezobrazov

    Head of department of neural networks design

    Advisory board


    Dmitry Machikhin



    Tony Simonovsky



    Dariya Donetskaya



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