Big data / AI network
Average rating : HIGH
The world’s first adaptive, self-organising ‘smart ledger’. Fetch is a next-generation protocol built with a ready-to-go Useful Proof of Work system invented by world-leading AI minds.
|Crowd-sale:||25th of February - ....||ENDED||6,000,000 /6,000,000 USD raised|
Raised: 23,000,000 of 23,000,000USD ( 100%)
|Ticker:||Available for token sale:|
|Token type:||ERC20||Private-sale/pre-sale token price:||0.05267USD/|
|Accepts:||BNB||Private-sale/pre-sale bonus:||no info/ no info|
|Prototype:||Pre-sale min/max personal cap:|
|Team:||14 persons||Crowd-sale token price:||0.0867 USD|
|Team residence:||UK||Crowd-sale min/max personal cap:||20 USD / 3000 USD|
|Company residence:||Cant participate:|
ICO on Binance Launchpad hence exchange listing guaranteed
Private sale tokens locked for 3 months so no dump
Bittorent secondary market performance reflect demand for ICOs listing on Binance fetch ai will certainly do good
Long Roadmap Mainnet expected to go live by Dec 2019
20% Tokens sold for Private & Crowdsale rest held by foundation
Team and advisors could be better
Overall the project looks good due to low initial circulation supply and Binance guaranteed Listing. Private sale tokens are locked for 3 months and post that they have linear vesting. I am Certainly investing in the ICO
Long-term: Uncertainsee more
In conclusion, Picolo Research presents a ‘Spec Buy’ rating on Fetch AI. The technology offers a unique proposition where the ecosystem is crowded with blockchain infrastructure projects. Generating additional value through the creation of AEAs will re-establish how inefficient information is being utilized. The opportunity is there, and it essentially boils down on the team delivering the technology timely.
Astronaut has taken conservative exposure acknowledging potentially high risk and high reward.
We highlight several reasons to affirm our rating,
• A novel idea to create a digital world where autonomous agents can interact with one another
• Binance launchpad listing enhances the project’s credibility and adds foundational support to the team
• Good deal structure with low hardcap and market cap valuation based on initial circulating token supply
• Significant competitive edge against similar projects
Not withstanding the above, Picolo acknowledges a couple of issues such as close to empty GitHub repositories that have been rectified by Binance and will be released in due course. In addition, most top management positions have links with past company failures by the CEO in the past such as Ososim, Uvue, and NOVUS4, which had huge debts or had ceased to exist. However, the debt has been cleared and it is difficult to attribute failures to a handful of employees as there are other employees involved. Last but not least, integrating AI and ML into blockchain is challenging, affecting the practical implementation of the network.
In light of the preceding, Picolo analysts recommend an overall ‘Spec Buy’ rating on Fetch AI.see more
Fetch.AI is an ambitious project with a number of strong points and these include a strong team with a solid academic foundation and core members with decades of experience of working in AI and ML. In addition, a significant number of developers have experience of working with leading corporations such as Google, SAP, Bloomberg, Sony, and Nokia.
Fetch.AI has also partnered with Trusted IoT Alliance, MOBI, Warwick Business School, Blockchain for Europe, and crucially Outlier Ventures. The latter still retains a good reputation in the space and isn’t known for taking part in some of the practices conducted by the more “cutthroat” Venture Funds. The team have also arranged for their public sale to take place on Binance Launchpad which allows them to benefit from their exchange’s vast network and influence and also highlights their ability to network and achieve actionable results.
By going through Binance, Fetch.AI has also been highly transparent and produced a large amount of information about various aspects of their project including seed and private sale rounds. However, this leads us into areas of concern according to Binance; the team had already used approximately 85% of SAFT funds by December 1, 2018. This is worrisome, and may be the reason for such a high valuation, and the large team will surely lead to a high burn rate with a high proportion of funds being allocated to staff and salary costs and securing commercial and academic partnerships.
The possibility of a high burn rate brings the fact that the merger of DLT, AI, and ML is still highly theoretical and combines features that are still to be proven to work in the real world. Furthermore, the mainnet release is scheduled for Q4 2019 meaning that investors may have to wait until 2020 or beyond for significant developments on the platform. The burn rate may also explain why the team first aimed to raise $30 million for 20% of the total token supply thus giving Fetch.AI a valuation of $150m, and even after reducing the hard cap to $6 million for 6% of the total token supply, Fetch.AI still has a valuation close to $100m. Crowdsale participants will only have access to 17.6% of the tokens, half of the supply being allocated to the tokensale, mining, and future releases, meaning the other half remain in the hands of the foundation, team, and founders.
Depending on your stance these metrics may prove to be off-putting, however, the team have been highly transparent and produced all the necessary information on vesting periods, and the FET token release schedule. Public sale participants will receive their tokens immediately and be free to trade them on Binance which may prove attractive in light of the performance of BitTorrent’s BTT token.
As a result, Fetch.AI may suit braver members of the community who may be attracted by the possibility that FET matches the performance of BTT. More conservative members may choose to keep an eye on project developments of get involved in the project later on once significant milestones have been achieved and FET tokens are less prone to speculative interest.see more
|MMCrypto||5/7 — //|