The GraphGrail Ai project has been rated by ICORating and has received a very respectable “Stable” score from the leading agency.
GraphGrail AI is a decentralized platform enabling the design of applications based on artificial intelligence and blockchain technology without the need for programming skills. Posting tasks and receiving orders for data processing will be possible on the platform; solutions and data may be sold on the built-in marketplace.
GraphGrail AI operates in a highly competitive market characterized by the presence of a large number of startups at an early stage of development, which could compete seriously with existing market leaders. The key difference of the GraphGrail AI platform from the decentralized projects listed above lies within the following two factors:
The focus on data processing, which potentially allows to provide solutions of better quality compared to those that will soon appear on other platforms which in trying to cover all the range of AI solutions (photo, video, time series mining) lose in quality. GraphGrail AI is developing in consecutive stages, and after the AI ecosystem is proven to work on texts, the project scaling and expansion to other market segment would be possible.
Own AI solutions and a builder for them allowing for the platform to provide businesses a full cycle of work with data, and this often distinguishes the platform from competitors usually offering 1 or 2 solutions that do not allow businesses to receive a valuable end product. For example, platforms that cannot build their own solutions and only have a marketplace for selling them will face the difficulties with attracting users to an empty platform. Also their is an issue of integration , that is, even if a business client buys an ML-solution, they still have to integrate it into their system because otherwise its value significantly decreases.
The GraphGrail Ai platform GAI utility token satisfies SEC conditions. Legal development for the project was carried out by Juscutum Attorneys Association, and it has also worked out the legal risks of the project. The legal shell company for the project has been in operation for several years, which also contributes to reducing the risks of investing in GraphGrail AI. The jurisdiction is the British Virgin Islands. The majority of the developers are based in Rostov-on-Don, Russia.
ICORating has emphasized that the established team has successfully completed a number of projects for business and government. Most of the team has solid experience in the implementation of scientific and business projects. The team has all the necessary relevant experience to implement its project. However, ICORating has identified marketing and finance as potential shortcomings.
GraphGrail AI is selling GAI tokens during the ICO. GAI is a utility token that acts as the internal currency for the system. Users who receive tokens as payment for their services will be able to convert them to fiat or other cryptocurrency. However, due to an obligation for users to make a one-time purchase of a relatively large volume of tokens, the project will likely achieve a permanent excess of demand for the token over its supply, provided that the product is successfully implemented. By and large, the team could replace the GAI token with any liquid cryptocurrency and use it as the internal currency. In other words, GAI tokens should primarily be considered as a mechanism for funding the project.
The burning of tokens could have a positive impact on their price, whereas a return to circulation is unlikely. Moreover, GraphGrail AI has a reserve fund consisting of 25% of the initial issue. The plans of its use as yet exist only as a first approximation — it is suggested that it will be used for attracting users and developers to the platform as additional motivation and for accumulation of datasets, libraries, algorithms, i.e. intangible assets for the benefit of the team. The team reported that 10% of the reserve fund will be allocated to the platform needs in attracting independent developers, another 10% will be spent on funding and holding competitions on improving algorithms, and the remaining 5% will be spent on airdrop among the partner companies holding the token.
ICORating states that such projects as GraphGrail Ai always entail risks of a technological nature, i.e. risks of technical realization. In this case, the team has long been working on the project which increases the likelihood of success. However, it remains unclear whether the innovations being developed will be applicable in practice in the near future.
Another project risk is the fact that the team has not involved anyone prominent in the crypto community or business environment. An exception is Mr. Alexander Borodich, whose previous project, Universa, faced active criticism, albeit ambiguous in nature. However, GraphGrail AI’s hard cap is also small compared to other ICOs, so this risk also should not be considered significant.
Marketing and promotion of the ICO are also among the risks of the project. At this stage the traditional metrics for estimating activity of the ICO campaign (Telegram, Bitcointalk, etc.) are at an extremely low level. Publications in the press about the project are also few and far between. The project is niche and specialized. In this sense, there is still a high probability that many potentially interested parties will not know about the ICO.
In general, ICORating is pleased with the work done by the GraphGrail Ai team and has expressed confidence that the product has high potential despite its shortcomings.
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