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Mindsync (MAI)

Mindsync bountyMindsync (MAI) Verified Verified Mindsync (MAI) Sponsored Sponsored
Mar 01, 2019 – Mar 15, 2021

Mindsync is a decentralized community-driven AI platform for machine learning competitions to help solve business tasks and a marketplace for AI services.

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Project industryAI & Neural Networks
Product typePlatform
FoundedUnited Kingdom

Technical details

Mindsync is a platform and a global community of machine learning developers, data scientists and applied AI experts. This community will be able to cooperate as well as participate in competitions between individuals and teams to solve various problems.

What is Mindsync


Today's artificial intelligence (AI) market is growing rapidly. The use of AI technologies such as computer vision (CV), deep learning (DL), machine learning (ML), natural language processing (NLP) can bring huge competitive advantages in different industries.

Worldwide spending on cognitive and AI systems will reach $19.1 billion in 2018, an increase of 54.2% over the amount spent in 2017. According to IDC, AI expenses will grow up to $52 billion in 2021 and the compound annual growth rate (CAGR) will reach 46% in the 2016-2021 forecast period. But the global AI market is experiencing headaches like any growing market.

The Problem

1. Lack of staff. The demand for applied AI experts, data scientists, machine learning and deep learning developers is growing every day. Today these specialists are rare and expensive. But in spite of it all, highly competitive nature of business requires high skilled personnel to find efficient solutions in the shortest time. The scarcity and costs of these resources are a big problem for organizations using or trying to use AI technologies.

2. High cost of computing power. Data science and machine learning tasks are usually resourceintensive ones and can be efficiently solved using a large number of CPU and/or GPUs. Using cloud services such as Google Cloud, Amazon AWS, Microsoft Azure can solve that problem, though with an unreasonably high price.

3. Despite the AI industry development, in pursuit of ready-made AI solutions applicable for solving real business problems, and in other areas, their integration and adaptation are still a complex question.

4. Security problem. Lack of automated data integrity and version control. These verifications provide replicability and are crucial in applied machine learning algorithms with high security requirements.


Establish the expert community of Artificial Intelligence, Machine Learning and Data Science to solve customer's tasks, develop ML models, share experience, and improve competence.

Exploitation of crypto mining farms and exchange of computing power among some participants of the community. This significantly reduces computation cost by threefold in comparison with cloud computing.

Creating the marketplace for ready AI solutions (MLmodels and datasets). Placing production-ready solutions at the marketplace in enterprise-ready containers.

Deployment of a blockchain assures security and data integrity. Persistance of ML-models hashes, data, solution quality assessments, solution ratings, and the platform participant metadata are all saved in the embedded blockchain. It allows to verify objects and their dependencies what is crucially important in development of replicable and safe solutions.


Pre-sales: Dec 15, 2018 - Jan 15, 2019
Public sales: Mar 01, 2019 - Mar 15, 2021
Token supply: 150,000,000 MAI
Total tokens for sale: 75,000,000 MAI
Soft cap: 4,200,000 USD
Hard cap: 10,500,000 USD
Raised: 4,900,000 USD


Blockchain Platform: Ethereum
Country limitations: Cuba, Iran, Lebanon, Russian Federation, Ukraine, Estonia, Syria, Libya, Sudan, Somalia and North Korea
Registration country: United Kingdom
Registration year: 2018

Token info

Ticker: MAI
Type: Utility-token
Token standard: ERC20
Token price in USD: 1 MAI = 0.20 USD
Accepted currencies: ETH, USD, BTC, LTC, USDT and 120+ altcoins
Token distribution:
50% - Public sale
15% - Team
5% - Advisors
2% - Bounty
8% - Mindsync Foundation
20% - Reward pool

Mindsync Roadmap

Aug 2018

Company registration

Oct 2018

Website, Investor’s dashboard

Dec 2018


Dec 2018


Mar 2019 – Dec 2019

Public sale

Oct 2019

Whitepaper (extended)

Nov 2019


Nov 2019

Problem statement

Dec 2019


Dec 2019

Kernels (python)

Dec 2019

IPFS storage

Dec 2019

ML/DS community

Jan 2020

Mining (beta)

Mar 2020


Jun 2020


Jul 2020


Aug 2020


Oct 2020

Intellectual coordinator service

Nov 2020


Dec 2020

Mindsync Platform Release

Project team

Konstantin Bogolepov
Konstantin Bogolepov
Chief Executive Officer/Founder
Konstantin Bogolepov linkedin
Dmitry Timoshenko
Dmitry Timoshenko
Chief Technology Officer/Co-Founder
Dmitry Timoshenko linkedin
Mikhail Trofimov
Mikhail Trofimov
Data Scientist &Head of Competitions
Mikhail Trofimov linkedin
Elena Liakou
Elena Liakou
UI/UX Designer
Elena Liakou linkedin
Mikhail Melnik
Mikhail Melnik
Blockchain Developer
Mikhail Melnik linkedin
Andrew Fedorov
Andrew Fedorov
Full Stack Developer &Security Advisor
Andrew Fedorov linkedin
Felix Finkel
Felix Finkel
VP of Engeneering
Felix Finkel linkedin
Roman Milovskiy
Roman Milovskiy
Full Stack Developer
Roman Milovskiy linkedin
Kirill Smirnov
Kirill Smirnov
Head of Marketing
Kirill Smirnov linkedin


Gilberto Titericz
Gilberto Titericz
Advisor/Machine Learning Expert
Gilberto Titericz linkedin
Mohamed Shoieb
Mohamed Shoieb
Advisor/Business development
Mohamed Shoieb linkedin
Carlo Buonpane
Carlo Buonpane
Advisor/Investor relations
Carlo Buonpane linkedin
Laura Zaharia
Laura Zaharia
Advisor Marketing
Laura Zaharia linkedin
Guillaume Micouin
Guillaume Micouin
Chairman at ABC Corporation
Guillaume Micouin linkedin
Florian Rézeau
Florian Rézeau
Brand Management
Florian Rézeau linkedin
Bryan Blaevoet
Bryan Blaevoet
Listing on trading platforms
Bryan Blaevoet linkedin

Social media

Mindsync web-siteMindsync RedditMindsync MediumMindsyncYouTubeMindsync TelegramMindsync InstagramMindsync BTCTalkMindsync LinkedInMindsync TwitterMindsync FacebookMindsync Github



User rating:

5/5 ( 1 )

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