NeuroChain Basic Review
|Start ICO||26 Mar 2018|
|End ICO||15 Apr 2018|
Ticker symbol: NCC
Project Type: Blockchain, Artificial Intelligence
Extended company description: NeuroChain is an ecosystem created around its own blockchain, based on machine learning technologies.
Public ICO start date: 19.03.2018
Public ICO end date: 15.04.2018
Token sale duration (weeks): 3.8
Token type: ERC20
Total number of tokens Issued: 4,374,000,000
Tokens available (Pre-Sale + Public ICO): 395,000,000
Price of 1 NCC: 0.1 EUR
Accepted Payments: BTC, ETH
Bounty program: n/a
Token role: Functional
Team size (number of people): 15
Number of Advisors and Partners: 3
NeuroChain is an ecosystem created around its own blockchain, based on machine learning technologies.
The system is based on three principles:
- Decision Making: A chain of bots is used.
- A set of rules: A decision-making protocol (verification of involvement/integrity and verification of work process).
- Network and Media: Clear communication channels (adaptive communication) and a training ecosystem.
Key differences from existing systems are as follows:
The main goal for the project is to improve the performance of distributed systems. The system has no smart contracts; their role will be performed by bots built on the basis of AI technology.
The project can find application in:
- the exchange of data between companies with concealment of information possible.
- tracking of goods.
- verification of information.
- any situations in which AI or machine learning is required.
- transfer of autonomous algorithms to cars.
- transfer of autonomous algorithms to car data.
- automatic execution of contracts (insurance payments).
- transfer of ownership (shares, debt obligations).
- regulated professions.
- Internet of Things.
- data banks.
- John Rice (Linkedin) — Senior research fellow at MIT.
- Pascal Lauffer (Linkedin) — Chief digital technology officer at FIMAT — Blue Group Toque Verte, partner at Capco — Odysseus Consulting, formerly business transformation officer at Newedge — Astrance Capital.
- Renaud Roquebert (Linkedin) — CEO and founder of Lighthouse LHLF US, employee at HEC Paris, international tax specialist at Lighthouse LHLF — a law Firm.
- LOUKA — a company producing natural products.
- Agestion — a consulting company in the field of asset management.
- Hopps Group — a logistics company.
- Interxion — a company providing data services.
Attracted investments: n/a
The project is based on blockchain technology, and integrates machine learning and artificial intelligence.
Strengths of the project:
- the project has an experienced team and advisors.
- there is an MVP.
- markets where the project operates show high growth rates.
Weaknesses of the project:
- implementation of the project will not be immediate.
Market and Industry
The project focuses on creating a new blockchain architecture using machine learning and artificial intelligence. In this regard, we will consider the market for blockchain technologies, machine learning and artificial intelligence in our analysis.
According to Research and Markets, the blockchain market will reach $6.1 billion by 2023 (from $0.3 billion in 2017). The blockchain CAGR is projected at 71.5% until 2022.
This rate is confirmed by Yahoo Finance. Technavio Analytics predicts overall market growth for blockchain with a CAGR of more than 55%.
With regard to the machine learning and artificial intelligence market, IDC predicts that the market will be characterized by a CAGR of 55.1% during the period between 2016–2020.
Comments: Markets are showing high rates of growth, which suggests the possibility of occupying a niche.
The following competitors are discussed in the WP:
- Bitcoin — the original and innovative payment network built on the basis of blockchain technology.
- Ethereum — a platform for creation of decentralized online services based on blockchain, working on the basis of smart contracts.
The following could also be identified among the competitors:
- Matrix — a platform for the creation of decentralized online services built on blockchain, based on AI and smart contracts.
Summary: The project's key difference from the competition is its use of bots in the network, which replace miners and smart contracts.
Engineering Features of the Project
The platform is built on the basis of blockchain technology, which also combines machine learning and artificial intelligence.
- Bots. These act independently and use machine learning algorithms.
- Collective artificial intelligence. Thanks to these protocols, bots are able to continually improve the system.
- A Proof of Involvement and Integrity (PII) protocol aimed at reaching optimum performance with a limited number of bots.
Bots perform the following functions:
- validation of a transaction, if the bot in question has been chosen for this role.
- improvement of systems for projects and technologies due to the specialization of the algorithm used.
- bots can communicate and learn from each other.
- improvement of systems for projects and technologies with collective artificial intelligence.
In the system, miners are replaced by bots. Bots are also rewarded for participating in the network, with their rating being improved as a result. The higher a rating, the better the quality of a bot.
Comments: The project already has a prototype that is presented on GitHub. [https://github.com/neurochain/prototype-ui]
With the development of the technology and data amounts required, it is planned to implement the following:
- December 2017: Launch of the prototype.
- April 2018: Development of the Neurochain protocol in a larger environment.
- April 2018: bot Identity Generation module. A wallet generator is being developed for the ICO to prepare contributors for accessing the future mainnet. This web version must be adapted into the core language.
- May 2018: Basic features: Transactions, bots, blocks, ledger, ... are the basics. Creation, diffusion, and validation are the basic functionalities that a bot must handle. Security is one of the basic features (authentication, signature, checksum).
- June 2018: Connecting and Communication Module. Communication is the heart of the distributed system. The communication feature will manage step by step broadcasting; it is at the heart of the system and needs continuous updates, route optimization ... This must be available for many channels: udp, tcp, email, sms, etc.
- August 2018: Consensus and Decision Algorithms. Aggregation of all activities (transactions, bots, chained blocks) to make a consensus, distribute the result, limit fork risk etc.
- September 2018: Encryption Layer: Encrypt the content of transactions to secure confidential information.
- October 2018: Alpha tests and integration of intelligent applications. Opening the testnet and running full activities with a high level of logging to detect and optimize interactions.
- January 2019: NeuroChain Blockchain is released.
- January 2019 — Development of a new blockchain infrastructure based on the principle of Proof of Involvment and Integrity.
- June 2019: Implementation of the principle of verification of a work process that enables intelligent applications based on machine learning.
- March 2020: Integration of intellectual property exchange with the help of bots and the launch of collective artificial intelligence.
- March 2023: A self-consistent distributed system will start running when bots start autonomous activities.
Comments: The team has introduced a step by step strategy for the project’s development. However, its implementation will take about 2 years, during which time the emergence of more advanced technology could well occur.
The following active modules are presented in the open repository:
Comments: There are 5 open modules in the repository that belong to the project team:
- machinelearning — experiments, algorithms and proof of concept.
- prototype-dashboard — prototype of the dashboard.
- prototype-ui — neurochain prototype.
- WhitePaper — project document.
We have analyzed Neurochain’s website and documentation for sufficiency and consistency regarding making an investment decision.
The website also provides information on the project, RoadMap, ICO, documentation, partners, team and advisors. The site is presented in English, Korean, Spanish, Russian, Thai, and Vietnamese.
Summary: The documentation provides insight into the project. However, we believe that adding information about which functions are to be performed by bots and a more detailed description of uses for the project would give a better impression of the project.
Tokens to be issued for sale, %: 15
Public ICO start date: March 19, 2018
Token Type: ERC20
Accepted Payments: BTC, ETH
1 NCC price: 0.1 EUR
Crowdsale Duration: 3 weeks, until April 15, 2018
Token limit: 4,374,000,000
Advantages for token holders: Tokens are functional and can be used for accessing platform services or be sold.
Additional token issue: no
The token sale takes place in several stages with the following bonuses:
Max Goal: 30,000,000 EUR
Minimum Goal: n/a
Comments: Tokens are planned to be listed on exchanges.
Token and Capital Distribution
Tokens and capital are distributed according to the following scheme:
Summary: Tokens do not affect the distribution of shares in the company. The reward system is set up so that it is more advantageous to buy tokens earlier.
Roadmap of the project
Over 2016–2017 the project presented their concept at various events.
Summary: According to the WP, the project plans to create training centers and manuals for operating this network.
The team consists of 15 personnel and 3 advisors. Information on core members of the team (LinkedIn) is as follows:
- Frederic Goujon (Linkedin) — CEO. Managing partner at BGFI Consulting, formerly CTO at DBA and BigData.
- Dr. Billal CHOULI (Linkedin) — CTO. Specialist in quantitative modelling at ADNEOM, formerly CEA nuclear fusion research specialist, research fellow at Massachusetts Institute of Technology (MIT).
- Bruno Delahaye (Linkedin) — Director of marketing, partner-founder. Vice president of transformation and marketing operations at Dassault Systèmes.
There are 12 other people in the team.
Summary: Nearly every member of the team did not disclose their affiliation to the project.
The team is mainly from France, and also has the following experts: A sales advisor, a security advisor, CFO, scientific director, technical specialists, an Agnostic & Holistic Innovation Catalyst, a developer of blockchain architecture, research fellow at Columbia University, project developers of blockchain-architecture, and a data processing specialist.
Information about the project is available via a variety of popular services such as Twitter, Telegram, Medium, Bitcointalk, Github, Linkedin, YouTube and Facebook. The project has no bounty program.
The team is conducting an advertising campaign on social media. On Twitter and Facebook there are regular news updates; the project maintains a blog on Medium and posts videos on YouTube.
The format of articles about the project suggests that they were mainly written by the project team as reviews or by the media as an announcement of another project staging an ICO.
Comments: Interest in the project is gradually increasing. The marketing campaign is mainly developed on Twitter and Facebook.
Analysis of Neurochain’s website traffic based on Similarweb.com’s data showed the following:
Traffic sources: [https://www.similarweb.com/website/neurochaintech.io]
Comments: direct: 53.49%, referrals: 11.14%, search: 18.46%, social: 7.12%, mail: 9.79%
Search traffic: 18.46%, of which 100% is "organic" traffic
Referral Links: 0.1114
Analysis of the Neurochain website traffic based on data from BE1.ru showed the following:
Traffic sources: [https://be1.ru/stat/neurochaintech.io]
Comments: Top 5 countries of origin for site visitors: Thailand — 9.15%, USA — 8.07%, France — 7.85%, Russia — 6.82%, Vietnam — 6.74%
Referral Links: icobench.com — 32.05%, icocountdown.com — 22.03%, longcatchain.com — 17.33%, icoalert.com — 9.10%, web.telegram.com — 5.40%
Social activity: Facebook — 68.59%, Linkedin — 13.91%, Youtube — 11.33%, Twitter — 5.50%, VKontakte — 0.68%.
Summary: Based on available data on the project, it can be concluded that users are now interested in the project. The team is leading an advertising campaign on social media (Facebook, Twitter), communicates with users in Telegram, keeps a blog on Medium and posts videos on Youtube. There are publications in the media available. The team takes part in various specialized events. In the last month the traffic of the site has increased by 50,000.
You can contact the developers through the following links: