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Cindicator Basic Review

Project Review

About the Project

Name: Cindicator

Ticker symbol: CND

Project type: Hybrid Intelligence for Effective Asset Management





ICO details

Starts: September 12, 2017

Sale length: 30 days

Token type: ERC20

Total tokens: 1,500,000,000 CND

Available in Token Sale: 75%

Fundraising goal: $11,250,000

Price: 0.01 USD

Accepted: BTC, ETH, ETC, LTC.



Team size: 11 members + 11 backers;



Social media

Twitter: 1066 tweets, 6107 followers

Medium: 89 posts, 382 followers

Reddit: 133 subscribers

Facebook: 1274 likes, 1377 followers

Telegram: 1023 members.

Project Description

Cindicator (Crowd Indicator) is a collective intelligence platform. It helps to gather, process and use analytical information.

The heart of the system is a hybrid intelligence. It is a technological symbiosis of social (man) and artificial (machine) intelligence. The Cindicator project’s work in the financial market is based on the use of hybrid intelligence resources. The platform consists of two components: A system for collecting data from forecasters, and a system analyzing and interpreting the received data. Predictions are gathered with the help of mobile applications. The white paper describes the analysis process in general.

The main goal of the project is to integrate analytical systems of large scale companies into the platform and receive revenue through providing both the traditional and cryptocurrency markets with its services. Within the first period of the project’s life the authors intend to generate income by raising funds with an ICO.

At the time of writing the authors are finalising the development of the chain: Data-analysis-trading decision.

Forecasters will receive remuneration; for this purpose the founders will issue infrastructural tokens. The tokens are firstly repurchased in the market and then distributed among the forecasters. Remuneration amount depends on the forecaster’s success. Users subsequently have access to the final insights and even full system access. The more tokens, the more access opportunities. It is important to note that 0.2 % of all allocated tokens are distributed among forecasters already working with the project.

Business Model Scheme


Cindicator Tokens are a good speculative asset, so we recommend participating in the ICO. The project is almost ready for allocation; the staff is qualified and experienced. We can already see the results of the team’s work, so demand will be increasing alongside development.

In our opinion, investors will meet serious risks in the long run. We believe that the Hybrid Intelligence and Wisdom Of Crowds components of the system do not have enough in the decisions data base or enough experience. Another serious risk is that of earnings from the project within the first period of development - its own capital raised at the ICO. We should take into account the possibility of misfortune; the team may spend all funds on forecasters’ remunerations. As a result they could lose qualified forecasters as well as generate poor-quality predictions.


Pluses (strengths):

  • development strategy is planned. There are active and available instruments: application, bot-program, and others;
  • the team have a track record with the trading system and the pool of the users;
  • professional participants in financial markets are taking part in the project;
  • there are no direct competitors; the idea is interesting.
  • the start-up company is approved by international business analogues and accelerators;
  • a qualified team consisting of financial experts and professional advisors.

Minuses (weaknesses):

  • the trading system’s profitability is questionable;
  • it is difficult to integrate professional financial market, investment and hedge funds into the platform;
  • risks of market volatility; especially regarding the cryptocurrency market;
  • problems with scalability.

Review of Competitors

The Cindicator project has no direct competitors. The idea to utilize artificial intelligence is not innovative, but there have never been examples of technological symbiosis of man and machine intelligence until now.

It is possible that large scale financial market representatives could be the main competitors; Such companies often invest in IT technology development to help dominate the market.

Market and Industry Review

The founders explain the uses of hybrid intelligence for different kinds of business activity. They state that the financial sectore is the most profitable one to use it in.

Currently there are no large scale companies that provide services with big data analysis sales and purchase like Cindicator. Most current systems process and interpret available data; they are indicative systems. The founders focus on forecasters’ predictions. On this basis they give their answers and decisions on different financial instruments.

The market sector dealing with data processing is growing fast. According to information in the white paper, in 2015, expenses connected with the purchase of information on the state of financial markets were at $50 billion. This amount included $4 billion paid for the services of professional analysts. The founders state that in 2020 these expenses will have grown by 6 times these amounts.

When financial corporations improve their technological solutions, data and operations processing speed ,they will be interested in analytical systems based on artificial intelligence. In this the most developed systems will be the winners, whether they have positive results or not - because they can be adopted and transformed according to specific requirements.

Technical Aspects of the Platform

The basis of the Cindicator platform is API systems, a technological module, a GUI module, and a safety system.

The main components of the platform are:

  • Business module

main role – generation of data access volume for further processing;

  • Predictions module

main ruty – input data processing and the supplying of answers and predictions; trading module – predictions processing and making trading decisions.

There are many systems on the market working with source information and trading robots, so the project is focusing on predictions. These include:

  • data filtration and cleaning
  • arithmetic models and hypothesis creation
  • simplification of models created
  • correct predictions.

Two methods of creating predictions are: «superforecasting» - determining of the most successful forecasters, and «the wisdom of crowds» - the more forecasts, the better the predictions. The system is analyzing the histories of trading platforms in order to then examine given data for the forecasts.


On the project website there are many documents in three languages. Necessary information is available in the white paper as well as the landing page of the site. There is also information on the staff and project development plans. The white paper is accurately written; it describes the technical solutions utilised. There is  much information on development strategy.

The analytical system is not described in full, nor the artificial intelligence aspect. There is a lack of information in the GitHub repository. The only publication is the code for the public arbitrage telegram-bot. This is normal practice for the market sector.


Starts: September 12, 2017

Sale length: 30 days

Token type: ERC20

Total tokens: 1,500,000,000 CND

Available in token Sale: 75%

Fundraising goal: $11,250,000

Price: 0.01 USD

Accepted: BTC, ETH, ETC, LTC.

The total number of issued tokens is 1,500,000,000 CND. 75% of them are available in the token sale. The project aims to raise $15 million.

The token distribution scheme is as follows:

  • 75% - Token Sale Сontributors
  • 20% - Cindicator Company
  • 3.8% - Advisors & Partners
  • 1% - Reward Program

0.2% - Current Forecasters

The collected funds will be allocated as follows:

  • 55% - Development & Operations
  • 20% - Hybrid Intelligence Portfolio
  • 10% - Marketing & Bussiness Dev
  • 5% - Legal
  • 5% - Reserve Reward Fund
  • 5% - Acquisitions

Token price is locked to US dollars; currency of tokens purchase is ETH. USA and Singapore residents are not eligible to take part in the ICO.

Plans of the Project Development

The development strategy is shown in the chart.

Currently the project is preparing for token issue. The team then plan to release analytical products, and launch the web version of the collective intelligence platform. The next step, in 2019, is to build an infrastructure for access to investment funds into the platform.


All members of the team are Russian. There are 11 members plus 11 advisors of different nationalities, all with information available on LinkedIn.

Mikchail Brusov – entrepreneur. Mikchail is an engineer; he has been launching companies dealing with big data and predictive analytics for 8 years. He studied at Baumana Moscow State Engineering University. He is the author of a Startup Leadership Program, and a cofounder of the Wobot project which monitors social media.

Uriy Lobyntsev – CTO – researcher, entrepreneur and distributed application developer. He is interested in depth psychology, man and machine intelligence, the interconnection of advanced systems, and neurocommunication.

Artem Baranov – COO – founder of IT companies in the fields of technical outsourcing, medicine, and financial analytics. Artem is a member of the start-up community and a lecturer at ITMO University, Saint Petersburg.


You can read about the project in all popular blockchain community periodicals and mass media. Information is available in Russian and English; the project focuses on the English speaking audience. Announcements are carried out with the help of the largest Russian stock exchange, that of Moscow.

The team also communicates on social networks. It discusses current themes and announces events promptly. Marketing budget is 2% of the total ICO volume. The team hopes to invite a wide range of type of users to the platform.

The information contained in the document is for informational purposes only. ICORating received monetary compensation from the entity rated in this report for completing the ratings report. However, the entity rated in this report did not have the opportunity to approve this rating report before the report was published, nor did the rated entity have the opportunity to edit or remove this report once it was published. The views expressed in this document are solely those of the ICORating Team, based on data obtained from open access and information that developers provided to the team through Skype, email or other means of communication. Our goal is to increase the transparency and reliability of the young ICO market and to minimize the risk of fraud. We appreciate feedback with constructive comments, suggestions and ideas on how to make the analysis more comprehensive and informative.