Distributed computing platform for deep learning application and synthetic data generation
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Platform

Neuromation is creating a distributed platform to service all aspects of future synthetic data ecosystem. The platform will allow users to create dataset generators, generate massive datasets, train deep learning models. Users will also be able to trade datasets and models in the platform marketplace.

We plan to take advantage of the latest trends in blockchain cryptocurrency. All transactions in the Neuromation will be done using our Ethereum extended ECR-20 compliant token. We will engage crypto-currency miners in computationally intensive tasks of data generation and model training. They will be mining our Tokens by performing these tasks instead of mining cryptocurrency.

The enormous computing capacity that will become available on the platform will be game-changing for wide AI adoption by the Enterprise.

Retail Automatization

Our Retail technology lab is first to go live in the field with select partners. Our vision is to completely change retail technology. Every shelf should should feed a constant stream of analytic data to our retail partners. The key aspect of synthetic data is its ability to model massive datasets that change constantly. Because of our synthetic data platform, we are able to retrain our models quickly and with greater accuracy, producing significant improvements in capital spending and ROI for our partner brands.

Neuromation has partnered with the industry’’s leading brands to solve the problem of making store shelves mart. Using synthetic data we are able to create large well-labeled datasets for all the SKUs in the retail industry. Algorithms taught on these massive data sets are able to efficiently analyze and label shelf availability, percentage of the shelf, accuracy of ayout and other metrics. Furthermore with our proprietary dynamic modeling platform we are able to create the datasets that mimic human interaction with the shelf. We are able to track customer flow and intent!

Industrial automation

Neuromation plans to open an industrial automation lab where synthetic data will be applied to various problems. Typical difficulty with industrial environment is highly dynamic nature of the performed tasks. The model will need to analyze real time data and produce highly sophisticated predictions and calculations on the fly. It is very difficult to properly teach models to operate with dynamic data. Sometimes it is impractical to construct even the smallest dataset from real data. Neuromation will be using our proprietary Sensor Emulation Sandbox to rocedurally create virtual environments where the models would be trained. Areas we are planning to tackle are: drone autopilots, industrial process monitoring, object manipulation, and others.

Our operating procedure is to focus on finding an industry partner who would take advantage of the capabilities Neuromation will provide and spearhead adoption of our methods. The goal then is to open up our sandboxes to 3rd parties to allow them to buy our data and train their models. Operating procedure is to focus on finding an industry partner who would take advantage of the capabilities Neuromation will provide and spearhead adoption of our methods. The goal then is to open up our sandboxes to 3rd parties to allow them to buy our data and train their models.

Biotech and Pharma

There are a lot of interesting targets for the Neuromation approach in Pharma / Biotech. In general any problem where construction is easier than recognition (output is easy to calculate from input, but the reverse is hard; like computer science hash function) will yield well to our synthetic data approach. We are currently looking for partners in diagnostics and drug discovery to start a pilot project and open up a lab. We estimate that a lot of hypothesis building in drug discovery and biological system dynamics can be handled with Deep Learning models.

Data Set Generation

Neuromation sells synthetic datasets for AI training. We create a sandbox environment that will generate virtually unlimited set of well-labeled examples for you.

We charge per image / data point.The generation tool can be deployed into a web service API.In general you only pay after some agreed degree of validation has been achieved. The model will train and be cross-validated on real-world data. Partnership opportunities are also available and are evaluated on a case by case basis.

Please write to us [email protected] for more information.

AI Model As a Service

Neuromation can build your back-end AI engine. We will develop a model from scratch taking care of data generation, model training and tuning for you. Neuromation can also do retraining and maintenance as required. Neuromation can also help if you need to improve the existing model with additional data points (synthetically generated).

The result can be deployed as an API on the cloud or embedded into a device. Our preferred model is to charge per processed request. However, we can also hand the model off to you and deploy on your infrastructure with full release of the IP.

We welcome other partnerships suggestions.

Please write to us [email protected] for more information.

Basic Research

Neuromation is engaged in basic research on the role of synthetic data in Deep Learning. We would love to share our findings and also collaborate with other teams.

If you think synthetic data can benefit your research effort Neuromation can engage our staff scientists to help you realize your goals. We can organize research teams for both short and long term projects. There is no specific business model to follow for this type of service. If the research subject is interesting enough Neuromation can sponsor the effort.

We are open to partnership ideas please write to us: [email protected]mation.io

neuromation roadmap

Q1 2017

Seed round completed. Work started.

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. Token sales preparation.

Q1 2018

Active sales and marketing of Neuromation platform. Neurotokens are tradable on exchanges. Industrial automation Lab is started.

Q3 2018

Neurotoken will migrate to its own blockchain. Neuromation platform v3. Launched with 100,000 GPU capacity deployed.

Q4 2016

Team building.

Q1 2017

Seed round completed. Work started.

Q2 2017

Launch of R&D in Retail Lab test synthetic data hypothesis.

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. Token sales preparation.

Q4 2017

Neuromation token sales. Neuromation platform v1. Launched with 1,000 GPU capacity deployed. Medical devices Lab started.

Q1 2018

Active sales and marketing of Neuromation platform. Neurotokens are tradable on exchanges. Industrial automation Lab is started.

Q2 2018

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

Q3 2018

Neurotoken will migrate to its own blockchain. Neuromation platform v3. Launched with 100,000 GPU capacity deployed.

Beyond 2018 Neuromation is a definitive destination for businesses to develop their AI capability. Our Tokens are the primary exchange mechanism enabling synthetic data generation, distributed model training, data labeling and other AI services.

We envision being a global resource pool for synthetic data. An ever growing library that would have data sets for every conceivable use case. As we tie in service providers into the platform, Neuromation will be an enabling ecosystem for all AI.

token sale details

timing:

Oct 25th 2017
Presale starts (will need to register)
Feb 15th 2018
Sale ends (or 7 days after cap is reached)

goals:

token sales proceeds distribution:

ICO proceeds distribution chart
  1. Al Least40% for Platform Development
  2. Up to40% Liquidity reverse (prepay for server capacity)
  3. 10% for PR and Marketing of Neuromation service
  4. 10% to partners / advisers /early backers

Neuromation was born out of desire to speed up the AI adoption in the industry. It is lead by veterans in business, technology and science.

Maxim Prasolov
CEO
Fedor Savchenko
CTO
Sergey Nikolenko
Chief Research Officer
Andrew Rabinovich
Adviser
David Orban
Adviser
Constantine Goltsev
Investor / Chairman
Denis Popov
VP of Engineering
Yuri Kundin
ICO Compliance Adviser
Esther Katz
VP Communication