Hi, Steemit!
We announced our preICO campaign today!

Introducing GraphGrail Ai – is the world’s first Artificial Intelligence platform for Blockchain built on top of Natural Language Understanding technology with the DApps marketplace.

You can check site for more information http://graphgrail.com/ (EN)
Whitepaper currently available in russian only, english version soon.

What is all about?

We offer:

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.

Key problems we solve

Tesla learns from cameras and GPS. In natural language all the data can be labeled by people only

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 are not so "smart" as it could be

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.

HOW IT WORKS

Full stack data analysis solution
GraphGrail AI is an all in one, full cycle solution. It offers all necessary data preparation tasks, including text parsing, cleaning, our AI designer for building linguistic models, testing facilities, machine learning and neural network tuning, and a decentralized app marketplace to make money with the platform. You will not need any other service.

Case: smart-contracts

With GraphGrail AI, you can lower risks of implementing smart contacts in you business. Our technology offers convenient stack, including a data oracle, a trust gate to real-world data including social networks (Steemit, Golos.io, etc.), Wikipedia, and news resources. The smart contract can check conditions automatically, detecting weather changes, force-majeur circumstances or political risks, adding real agility to the smart contracts industry.

TEAM

GraphGrail AI's team has more than 6 years of experience in the fields of data science and natural language processing tasks. We have successfully completed several government and business projects. Most of the team have solid experience in science and university projects.

Victor Nosko

CEO and founder, Ai, Data-science.
Python developer, Django framework. Data-science specialist, NLP stack: NLTK + Celery + Pymorphy2 + GLRparser etc. Victor has more than 6 years of experience in development and deep learning. Experienced in Google TensorFlow

Sergey Litvinov

Co-founder, developer.
Python developer, Django framework. Sergey has more than 5 years of experience in development, science projects, system analysis, and databases.

Alexander Borodich

Venture investor, CMO
Futurologist, angel investor, serial entrepreneur, founder of VentureClub, MyWishBoard, MyDreamBoard, and SuperFolder. Chief Dreams Officer and partner in Future Action, founder of crowd-investing platform VentureClub.ru. Alexander has solid business experience.

Zackhar Ponimash

AI, data science, developer
Strong AI developer, C#. Data-science specialist. Zackhar has more than 5 years of experience in signals processing, neural networks, deep learning, and chat bot development.

Dmitry Strelnikov

Blockchain, fullstack developer
Experienced in REST API form mobile applications (Node.js), and admin panel development. Experienced in CSS3, HTML5, JavaScript, Git, Node.js, Webpack, AngularJS, React, and MongoDB.

Ilya Bredihin

Mathematician, algorithms
Ilya has more than 4 years' teaching experience and has prepared more than 50 students. He is an expert in statistics and differential equations.

Our Telegram chat: https://t.me/GraphGrailAi
Bitcointalk: https://bitcointalk.org/index.php?topic=2016928