Neuromation
Neuromation
Token: Neuromation


Where androids dream of electric sheep

PreICO dates
Start date: 25th Oct 2017
End date: 27th Nov 2017

ICO dates
Start date: 2018-01-07
End date: 2018-02-15

Registrated in: Estonia

Platform: Ethereum

PREMIUM ICO

http://www.neuromation.io/ Screenshot
Neuromation categories
Platform Cryptocurrency Business services
Video
Neuromation token sale
KYC passing required No | Whitelist No | Restriction for countries No
Hard cap 200,000 ETH
Tokens for sale 700,000,000
Token distribution in ICO
70%
70%
Price 1 Neuromation = 0.001 ETH
Acceppting ETH
Neuromation news, social
Neuromation search trends in Google
Random whitepaper excerpts

Contents
Legal Disclaimer
THIS DOCUMENT DOES NOT GIVE PERSONAL, LEGAL, OR FINANCIAL ADVICE. YOU ARE STRONGLY
ENCOURAGED TO SEEK YOUR OWN PROFESSIONAL LEGAL AND FINANCIAL ADVICE.
1. The Neuromation NeuroToken (NTK) White Paper (hereinafter “the White Paper” or “the Document”) is
presented for informational purposes only.
2. Nothing in the Document shall be construed as an offer to sell or buy securities in any jurisdiction, a
solicitation for investment, or investment advice. The Document does not regulate any sale and purchase of the
NeuroToken (NTK; as referred to in the White Paper). The sale and purchase of the NeuroToken (NTK) is
governed by the Terms and Conditions.
3. Several estimates, phrases, and conclusions incorporated in the White Paper constitute forward-looking
statements. Such statements or information concern matters that involve uncertainties and risks, which may
result in material differences from the results anticipated.
4. The White Paper may be updated or altered...

Contents
Legal Disclaimer
8. You agree that you purchase, receive, and hold the NeuroTokens (NTK) at your own risk and that the
NeuroTokens (NTK) are provided on an ‘as is’ basis without warranties of any kind, either express or implied. It is
your responsibility to determine if you are legally allowed to purchase the NeuroTokens (NTK) in your jurisdiction
and whether you can then resell the NeuroTokens (NTK) to another purchaser in any given jurisdiction. You bear
the sole responsibility for determining or assessing the tax implications of your participation in the crowdsale,
purchasing, or receiving and holding the NeuroTokens (NTK) in all respects and in any relevant jurisdiction.
9. No regulatory authority has examined or approved of any of the information provided in this White Paper. No
such action has been or will be taken under the laws, regulatory requirements, or rules of any jurisdiction.
10. The regulatory status of tokens and distributed ledger technology is unclear or unsettled in many
j...

Contents
1. Introduction
2. Neuromation Platform
3. Neuromation Platform Pillars
a. Neural Networks & Deep Learning
b. Synthetic Data
c. Distributed Computing
d.
Machine Learning Models
4. Domains of Applications
5. Team
6. Neuromation Business Model
7. Road Map
8. Token Sale
9. Token Economics
www.neuromation.io
...

Introduction
Introduction
Artificial Intelligence (AI) is seeing another spring and becoming a ubiquitous
part of society. Researchers and engineers have made important steps towards
solving practical problems in machine learning, particularly in such applications
as vision, speech, machine translation, and decision making.
Due to technological advancements coupled with progress in research and
innovation, AI is quickly becoming a part of every company’s operations. This
progress brings its own challenges, such as supply of sufficient talent,
resources, and data. The most pressing problem is the availability of
well-labeled data to support the supervised learning process. Even when
unstructured data is abundant, converting it to a labeled dataset is an extremely
laborious and costly process. There is a need to address the challenges of
practical AI adoption wholesale -- on a platform level. Until this is done, most
businesses will be struggling to adopt AI. Due to the disparity in r...

Introduction
Introduction
The AI ecosystem is founded on three pillars:

Datasets – large datasets of structured (or unstructured) data used for deep
learning algorithms to learn a specific task.

Computing power – a standalone server or a farm of interconnected GPUs
designed to provide the necessary framework for training AI models with
existing datasets to achieve the objective.

Machine learning models – a set of algorithms designed to process datasets
in the Neuromation platform environment.
Each of these domains poses a unique set of challenges for both the supply and
demand side of the AI ecosystem.
Neuromation offers a new and effective
approach of connecting supply and demand for each of these domains in a
marketplace, bringing together the competencies of researchers, engineers, and
designers and connecting them with commercial sector companies.
SYNTHETIC
DATA SETS
DISTRIBUTED
COMPUTING
POWER

Neuromation Platform
Overview
We are building
a critical component of the budding AI ecosystem and plan to
capitalize on the first-mover advantage: The Neuromation platform provides an
exchange and ecosystem where participants can either contribute to or purchase
the components of an AI model.
The Neuromation platform will use distributed computing along with blockchain
proof-of-work tokens to revolutionize AI model development. It will combine all the
components necessary to build deep learning solutions with synthetic data in one
place. Platform service providers, commercial or private, will provide specific
resources for the execution and development of synthetic datasets, distributed
computing services, and machine learning models, addressing the “three pillars”
of AI in the previous slide. Each executed service (dataset generation or model
computation) or data piece sold (dataset or data generator) is associated with a
reward, numerated in our currency, the NeuroToken...

Neuromation Platform
Platform Elements Overview
The Neuromation platform will combine technological and business elements to
efficiently train large-scale deep learning systems on synthetic data.
Platform user experience is divided into the following categories:
Synthetic
Dataset
Module:
PROCESSES:

Create a data generator

Order dataset from the
data generator

Request data labeling
LIBRARIES:

A repository of datasets
for deep learning

A repository of data
generators

Datasets (marketplace)
Machine Learning
Module:
PROCESSES:

Define deep learning
model

Import the model (e.g.,
clone TensorFlow code)

Order training on
selected dataset

Request a custom
model from the
marketplace
LIBRARIES:

A repository of deep
learning models

Neuromation Platform
Platform Elements Overview
The platform’s backend technology is divided into the following components:
Neuromation Node:

Node analysis (Processing price
floor — minimum amount in
NeuroTokens accepted per
computing unit. Node efficiency
limit based on
bandwidth/processing
power/storage)

Distributed data generation package

Distributed learning package

Node synchronization middleware
Market Module:

Enables efficient matching of
buying and selling orders for
datasets, models, and labeling
services

Enables liquidity in the system so
that prices across the assets are
conducive to scaling the system
www.neuromation.io
...

Neuromation Roadmap

1
Q4 2016
Team building
2
Q1 2017
Seed round completed. Work started

3
Q2 2017
Launch of R&D in Retail Lab test synthetic data hypothesis
4
Q3 2017
Proof of hypothesis on synthetic data is finished. Retail synthetic data generator proven. Model development complete (95% of accuracy reached.). Marketing and first sales to retail clients. ICO preparation.
5
Q4 2017
Neuromation ICO. Neuromation platform v1. Launched with 1,000 GPU capacity deployed. Medical devices Lab started.

6
Q1 2018
Active sales and marketing of Neuromation platform. Neuro Tokens are tradable on exchanges. Industrial automation Lab is started.

7
Q2 2018
Neuromation platform v2. Launched with 10,000 GPU capacity deployed.

8
Q3 2018
Neuro Token will migrate to its own blockchain. Neuromation platform v3. Launched with 100,000 GPU capacity deployed.

Sergey Nikolenko
Sergey Nikolenko Chief Research Officer

David Orban
David Orban Advisor

Constantine Goltsev
Constantine Goltsev Investor / Chairman

Denis Popov
Denis Popov VP of Engineering

Yuri Kundin
Yuri Kundin ICO Compliance Advisor

Esther Katz
Esther Katz VP Communication

Esther Katz
Esther Katz
VP Communication
VP Communications
Denis Popov
Denis Popov
VP of Engineering
Founder, CEO
Constantine Goltsev
Constantine Goltsev
Investor / Chairman
CEO & Founder
David Orban
David Orban
Advisor
Singularity University, Network Society Ventures
Managing Partner, Network Society Ventures
CEO OF NETWORK SOCIETY VENTURES, CHAIRMAN OF NETWORK SOCIETY LABS
Managing Partner @ Network Venture Society