ICO Analysis: Fetch.AI
on November 6, 2018
By Daniel Won
Proof:
https://hacked.com/ico-analysis-fetch-ai/Team
Humayun Sheikh (Co-Founder/CEO)
He was Chairman of the Mettalis Group, a UK commodity trading company which he helped to grow into a multimillion-pound business during a 5 year tenure as well as being an early investor in DeepMind. Humayun then went on to found Itzme and uVue, before taking on his current role at Fetch.AI.
Toby Simpson (Co-Founder/CTO)
Simpson was one of the original developers with DeepMind prior to their takeover by Google. He since went on to join Ososim as CTO and has an extensive background in software development and over a decade’s experience as a CTO.
Thomas Hain (Co-Founder/CSO)
Hain is a Cambridge University graduate where he went on to lecture prior to his tenure as a professor and department head with the University of Sheffield where he has been working for over 14 years.
Advisors
The Fetch.AI project only features two advisors. Namely these are Melvyn Weeks, an economics advisor of the project who is a Cambridge University Lecturer, and Monique Gangloff as a biotech advisor. She is also a senior scientist at the University of Cambridge.
Partners
The project has several well-recognized partnerships. These include Warwick Business School, Token Market, ULedger, Mobi, and Outlier Ventures.
Verdict
Below is a breakdown of the risks and growth potential of Fetch.AI.
Risks
The project is still in the very early stages of development with roadmap details which are not hugely extensive. (-2)
Many token metrics are quite unclear. This specifically includes no availability of exact pricing during the crowdsale. (-2)
There appears to be a small percentage of tokens made available to the public, whilst a large percentage is allocated toward project-oriented areas (Founders, Foundation, and Advisors total 50%) (-1)
Growth Potential
The project possesses a large and highly experienced team from a variety of academic, practical, and corporate backgrounds. (+4)
The technical proposals and concept of the project are very attractive and presented in a professional manner. (+2.5)
The target sector of the project is one which can ultimately benefit very much from the success of Fetch AI in automating and enhancing the blockchain through AI and machine learning. (+2)
AEAs operating within the open framework allow the project to overcome scalability issues better than other ecosystems. (+2.5)
Disposition
Fetch AI is a project which is proposing a very exciting and necessary solution to the issue of current ledgers. This is something which can also greatly benefit users. The implementation of AI and the use of AEAs can help propel the project to the forefront of the industry and be a great success. It is also backed by a very strong team of academics from the likes of Cambridge as well as pioneers in the AI field, such as CEO Sheikh and CTO Simpson (early investor in and one of the original developers at DeepMind respectively).
The future of the project looks positive, however the company has to continue being active in producing practical and quantifiable progress on technical development. This is yet to be very evident in practice.
If the platform succeeds through testing, it has great potential.
Overall Project Score: 6/10
Investment Details
Type: ERC20 then Native
Symbol: FET
Platform: Ethereum prior to Mainnet (2019 Q2)
Crowdsale: September 30th – November 30th
Minimum Investment: Unspecified
Price: Unspecified ($0.13 approximately, deduced from total token release/hardcap)
Hard Cap: $30,000,000
Payments Accepted: ETH