Distributed synthetic data platform for deep learning applications.

Token Sale Info:

  • Ticker: NTK
  • ICO Start: January 7th, 2018
  • ICO End: February 15th, 2018
  • ICO Token Price: 1 ETH = 1,000 NTK
  • Bonus: Yes
  • Token Type: ERC20
  • Accepts: ETH
  • Tokens For Sale: 70%
  • Hard Cap: 200,000 ETH

Additional Links:

Additional Info:

The Neuromation Platform will use distributed computing along with blockchain proof of work tokens to revolutionize AI model development.

The revolution is long overdue: deep learning employs artificial neural networks of extremely large capacitance and, therefore, requires highly accurate labeling. Collecting large datasets of images, text and sound is easy, but describing and annotating data to make it usable has traditionally been challenging and costly. Crowdsourcing was applied to the problem of dataset creation and labeling a few years ago, employing large numbers of humans to correct mistakes and improve accuracy. It proved slow, expensive and introduced human bias. Besides, there were tasks that humans simply could not do well, such as estimating distances between objects, quantifying lighting in a scene, accurately translating text, and so on.

We propose a solution whose accuracy is guaranteed by construction: synthesizing large datasets along with perfectly accurate labels. The benefits of synthetic data are manifold. It is fast to synthesize and render, perfectly accurate, tailored for the task at hand, and can be modified to improve the model and training itself. It is important to note that real data with accurate labels is still required for evaluating models trained on synthetic data, in order to guarantee acceptable performance at inference time. However, the amount of validation data required is orders of magnitude smaller than training data!


Maxim Prasolov



As a multimedia producer during 2001 – 2017 Maxim has produced more than 50 animated commercials, 3D-movies, commercial and industrial applications, computer games. Worked with international retail and industrial brands such as Unilever, Yukos, TPE, Metro Cash&Carry, Severstal Group, Ferrexpo, commercial banks, investment and insurance companies.


Fedor Savchenko



Fedor has more than 20 years of experience leading complex software development projects with emphasis on computer graphics, 3D engines, CGI production and VR environments. He holds degrees in both mathematics and graphic design.


Sergey Nikolenko

Chief Research Officer


Researcher in the field of machine learning (deep learning, Bayesian methods, natural language processing and more) and analysis of algorithms (network algorithms, competitive analysis), Sergey has authored more than 120 research papers, several books, courses “Machine learning”, “Deep learning”, and others.


Constantine Goltsev

Investor / Chairman


Serial entrepreneur and online advertising industry veteran, Constantine has more than 20 years of experience in software and product development. He is the former CEO and founder of the pioneering video advertising network AdoTube, which grew from humble beginnings to 200 employees selling in 23 markets with 13 offices worldwide.


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Twitter Feed:

2 days ago
#Chatbots have already gotten a bad reputation, but don’t give up on them just yet — advances in #AI will revolutionize the interface. Read the latest article by #Neuromation Investor Relations Analyst, Angus Roven. Enjoy your weekend read!
5 days ago
#NeuroNuggets are back! Today we present to you another installment about a few papers from the @CVPR 2018. We will talk about synthesizing a realistic picture of a human face, either from scratch or by changing some features of a real photo. #Neuromation
2 weeks ago
On November 15th, #Neuromation's Head of New Initiatives, Maxim Prasolov will be speaking at the @esa Ф-week in Italy. He will tell more about new and exciting #AI applications in the #space industry. Learn more
2 weeks ago
We are pleased to announce our Fall 2018 Asia Roadshow! Learn more in our recent blog post. #Neuromation #AI #DeepLearning
3 weeks ago
We have already had three installments about the #CVPR 2018 conference. Today we dive deeper into the details of one field of #deeplearning that has been on the rise lately: #domainadaptation. #Neuromation #AI

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