Malaga, Spain — Neuromation became a winner at the d10e in Gibraltar, also receiving third place and one third of the $100,000 prize pool — $33,000 from the judges of the investors conference.
Constantine Goltsev, founder of Neuromation and David Orban, advisor, received an award.
It’s Neuromation’s second win at the d10e international conference, which was held in September in Kiev, Ukraine. Following this, David Orban, an investor, entrepreneur, author and thought leader of the global technology landscape, as well as a member of faculty of the Singularity University, became advisor to Neuromation.io.
d10e has been the leading conference on decentralization since 2014. Past editions were hosted in Amsterdam, Bucharest, Kyiv, San Francisco, Singapore and Tel Aviv. The main focus was to explore the Future of FinTech, ICOs, Blockchain, Sharing Economy, Future of Work & Disruptive Culture.
Neuromation is a platform that helps to meet datasets, computer power and machine learning models.
The Neuromation Platform will use distributed computing along with blockchain proof of work tokens to revolutionize AI model development.
The Neurotoken pre-sale was launched on October 25, just after the announcement of the partnership with Hacken, aimed at auditing and improving the security of the code and cloud infrastructure.In addition to this, TaaS fund also partnered with Neuromation.
Tokens issued during the pre-ICO phase will be offered with a 25 per cent bonus in Neurotokens for investors who register through the whitelist.
The Token sale will be held on November 28, 2017 – January 1, 2018. The total amount of placement is 60,000,000 Neurotokens, with a capital target of around $17M. No additional tokens will be issued afterwards, and all unsold tokens will be burned.
The project’s white paper.
More about Neuromation: https://neuromation.io/
Headquarters: San Francisco, CA
Year founded: 2016
Video of Neuromation: https://www.youtube.com/watch?v=zHcBA89xq3w&t=13s
Our technology is crucial in making Deep Learning-based systems useful as they are taken up by industry in the real world. With Neuromation, the future has arrived, in which computers teach computers to perceive.
Our strategy is not to develop our platform in isolation, but to work with partners in select industries in order to try to bring our vision organically to life. We are developing “Neuromation Labs” that would develop synthetic data and train deep learning models on live applications. Each lab, such as the Retail Automation Lab, Industrial Automation Lab, Pharma/Medicine/Biotech Lab, will study a specific problem in a partnership with a category leader. As our platform is fleshed out we will be moving parts of generation and training there, allowing us to organically test parts of our vision in real-life scenarios. The Labs will seed the Neuromation Platform market with initial data generators and data sets. We will also encourage our Labs partners to transact further services through the platform- thus building the initial market for these services.
Neuromation is changing AI as we know it
Neuromation is at the absolute forefront of AI, offering businesses a unique and complete solution to address the challenges of AI adoption. Until now, it’s been extremely difficult to find well-labelled data to support the supervised learning process. Even when unstructured data was abundant, converting it to a labeled dataset was an extremely laborious and costly process.
Neuromation has created a platform that unites market resources, the scientific community, commercial and private entities and the computing power of miners into an integrated marketplace. In simple terms, by using synthetic datasets in machine learning, Neuromation will be able to drastically decrease the cost and adoption of widespread AI adoption, giving miners an opportunity to take over AI computing tasks while decreasing costs of AI project development.
Synthetic data is the future
Our solution, as opposed to manual data labeling which is costly, time consuming and sometimes beyond human ability, sees perfect labels created artificially. In comparison to the old manual way- synthetic data is fast, cheap, accurate and easily modified to improve the model and training. For example, an average retail set has more than 150,000 items. A deep NN needs thousands of labeled photo examples for each item. Doing this by hand would take years.
Retail is ready for a boom
In the retail industry, it’s expected that by 2020, 85 per cent of customer interactions will be managed by AI. This is why Neuromation has partnered with some of the industry’s leading brands to find consumer goods on shelves. By using synthetic data, we are able to create large perfectly labeled datasets for hundreds of thousands of SKUs in the retail industry. Neuromation’s retail technology lab is the first to go live in the field with select partners in the markets of Europe, Middle East, North America, and South America. Ideally, every shelf will feed a constant stream of analytic data to our retail partners. Using our synthetic data approach, we are able to retrain analytic models quickly and accurately, making AI for retail easily adaptable for a number of applications. And it’s not just retail we’re targeting. Neuromation plans to open other labs in partnership with industry. Our strategy is to have a partner in every domain.
What Neuromation does
Already, Neuromation has created 3.5 million labeled synthetic images and this is only the beginning. Unprecedented growth is projected to continue for the store inventory and logistics robotics market, with ripe investment opportunities over the coming 15 years. The Neuromation Platform intends to be the premier destination for AI services for the world’s businesses. We project around $71 million gross in transactions on the platform. From each transaction Neuromation will take a commission ranging from 5 per cent to 15 per cent depending on the type of service received through the platform. We anticipate the platform usage to grow from 3x to 5x a year from 2018 to 2022. The Neuromation Platform is expected to generate over 100M in yearly revenue from commissions in three years.