GRAPHGRAIL

GRAPHGRAIL

Created using Figma
Created using Figma
GraphGrail Ai is the world's first artificial intelligence platform for blockchain built on the basis of natural language processing technologies with a marketplace of decentralized applications. The GraphGrail Ai team has also encountered this problem when developing a model for one of its customers, as there are no ready-made, mapped datasets in public domains. In addition, the markup is very complex and it is necessary to take into account a number of composite features when determining language attributes. The GraphGrail Ai platform is a meta-service designed to dramatically accelerate the creation of new companies and start-ups in data analysis and blockchain.
Risk: High
Feb 19, 2018
Apr 15, 2018
100% completed
$1 931 460
100% goal completed
past
  • 1 GAI
    =
    0.1 USD
Dec 17, 2017
Jan 17, 2018
100% completed
Raised funds - no Data
Cap 200 000
past
  • 1 GAI
    =
    0.02 USD
Token Details
Ticker
GAI
Accepted Currencies
ETH, BTC
Company Details
Registered Country
British Virgin Islands
Additional Details
KYC
Yes
Categories
Manufacturing, Big Data, Artificial Intelligence

About GRAPHGRAIL


Dapps marketplace
Whether you are a data scientist or businessman, you can make your own linguistic applications, sell them and make money.

Artificial Intelligence
With GraphGrail's AI platform, by using Google Tensorflow and other tools, you can create and teach neural networks for complex classifications.

Smart contracts
GraphGrail AI is the "brains" of a smart contract - a cross-blockchain service that uses webAPIs, datasources and analysis to automate contract execution.

Not enough datasets
What is the key problem in data-science and text mining? There simply aren't enough datasets with seven figure sample sizes (from thousand to million samples) to teach neural networks in many industries, including banking, telecom, media and government agencies. Even if the business does have such datasets, using machine learning to gather, clean and make training and test sets is extremely difficult and time consuming even for skilled data scientists. Training such as this can take between 5 and 10 months for a normal sized dataset, and even though we use neural networks and Deep Learning frameworks to simplify the task, it is a one time solution - every step must be repeated over and over again to keep your linguistic models up to date. That's why business truly needs GraphGrail AI.

Smart contracts risks
Smart contracts, by their nature, are able to run algorithmic calculations and store and retrieve data. Oracles fill this void by watching the blockchain (Ethereum, EOS, Bitshares) for events and responding to them by publishing the results of a query back to the contract. In this way, contracts can interact with the off-chain world. This introduces obvious trust problems. Another complex problem is to prove that smart contract conditions are executed in real world. Smart contracts can easily check the amount of a bank account, but real-world conditions like weather changes, companies' buy-sell events, political or legal decisions, contract details and force majeur events are much more complex. This is where GraphGrail AI comes in.

Features

Dapps marketplace. Everyone can make own linguistic applications, sell them and make money.
Artificial Intelligence. With GraphGrail's AI platform, by using Google Tensorflow and other tools, everyone can create and teach neural networks for complex classifications.
Smart contracts. GraphGrail AI is the "brains" of a smart contract - a cross-blockchain service that uses webAPIs, datasources and analysis to automate contract execution.

Technical Info

Technical details:  Vector pretrained models - word2vec and doc2vec - is used. Latent Dirichlet allocation (LDA) - allows GraphGrail to determine the relationship (similarity) between the topics of two documents. Specialized software tools for training artificial neural networks (RNN, LSTM) with the possibility of saving the resulting model in a file: gensim (for thematic modeling) and scikit-learn (a package for scientific data processing and machine learning). The source code:  The code is not available. Proof of developer:  Public team

GRAPHGRAIL Roadmap

  • August, 2017

  • Pilot project.
    Marketing campaign.
    Preparing to alpha launch.
  • September, 2017

  • Public launch.
    ICO campaign.
  • 4th Q, 2017

  • Platform scaling.
    Partnership with blockchain industry giants.
    Premium accounts.
    Delegate's system and formula.

Activity

Activity:
175
MEDIUM
Posts:
196
LOW
Views:
7 713
HIGH
Activity:
175
MEDIUM
Merit:
10
LOW
Posts:
2 419
VERY HIGH
Views:
21 971
VERY HIGH
Users:
233
MEDIUM
Posts:
238
MEDIUM
Followers:
247
VERY LOW
Likes:
225
VERY LOW
Rating:
5
VERY HIGH
Reviews:
25
LOW
Followers:
858
LOW
Tweets:
405
HIGH
Members:
2 506
MEDIUM
Alexa
Rank:
2 320 378
VERY LOW
Delta:
-1 014 033

Team

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

Victor Nosko
CEO & Founder
unverified
Sergey Litvinov
Co-founder, Developer
unverified
Alexander Borodich
Venture investor, CMO
unverified
Zackhar Ponimash
AI, Data-science, Developer
unverified
Dmitry Strelnikov
Blockchain, Fullstack Developer
unverified
Ilya Bredihin
Mathematician, algorithms
unverified

Last News

3.28
risky+
5.0 7
ICO Profile Vision Activity Potential Product Team
icorating
stable
icobazaar
3.5
2.8
icomarks
5.2

GRAPHGRAIL Reviews

thetokeninvestor.com
review

This technology can be used to test complex conditions in smart contracts, identify text fashions and detect junk. Industries in which this technology can be used are also quite diverse, which means there will be no shortage of customers in need of the language processing technology the platform seeks to offer the world.

The analytics industry is growing at a very first pace, and GraphGrail Ai is in the front line when it comes to provide the cutting edge technology the industry needs at the moment. For this reason, the GAI ICO is certainly worth considering if you are looking to make money by investing in ICOs; as this GraphGrail Ai ICO review demonstrates.

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