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Fetch.AI

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Fetch.AI aims to create a decentralized digital network that facilitates an infinite number of marketplaces and user interactions and acts as a conduit for a new world of economic activity. Fetch.AI is built using an extended version of distributed ledger technology (DLT), and incorporates Artificial Intelligence (AI) and Machine Learning (ML) technology, combined with advanced measures of a trust protocol, to create a platform where autonomous software agents, working on behalf of their stakeholder (human owners, organisations, corporations) perform tasks such as delivering data or providing services.
General
Website: Visit
White paper: Read
ICO Time: 25 Feb 2019 - 25 Feb 2019
Whitelist/KYC: Whitelist + KYC
Country: Singapore
Token info
Ticker: FET
Platform: Ethereum
Token Type: Utility
Available for sale: 69,179,855 FET
Total supply: 1,152,997,575 FET
Video
Financial
Raised $ 6,000,000
ICO Price: ≈ 0.085 USD
Accepting: BNB
Hard cap: 6,000,000 USD
Screenshots taken 1 Sep 2018
August 23, 2018
Fetch.AI Berlin Meetup - deep dive on scalable smart ledger.
August 30, 2018
Fetch.AI Amsterdam meetup: introducing the Fetch Virtual Machine & algorithms.
Q3 2018
Ledger code release.Useful Proof of Work/Consensus White Paper. Initial Fetch Public test-net.
September 4, 2018
Fetch.AI Toronto Meetup: Developing Fetch Agents & the Fetch economic model.
September 5, 2018
Fetch.AI Chicago Meetup: introduction to Fetch.AI (decentralised AI & ML).
Q2 2019
Main-network release.
Q4 2018
Enhanced code release: ML/AI.
Q1 2019
Digital world tools and test-net release.
Q3 2019
Alpha and beta test-network

Alpha release will have all major features functioning approximately as expected. Working on performance improvement. Beta release will effectively be complete: all features working as expected, requiring full-scale operational testing.
Humayun Sheikh
Co-founder and CEO
Toby Simpson
Co-founder and CTO
Thomas Hain
Co-founder and CSO
Jonathan Ward
Head of Research
Troels Rønnow
Head of Software Engineering
Marcin Abram
Machine Learning Scientist
Chris Atkin
Digital Marketing Coordinator
Khan Baykaner
Senior Software Engineer
Peter Bukva
Principal Software Engineer
Joshua Croft
Software Developer & Ecosystem Coordinator
Robert Dickson
Software Engineer
Richard Dybowski
AI & ML Research Strategist
Edward Fitzgerald
Senior Software Engineer
Ali Hosseini
Software Engineer
Nathan Hutton
Software Engineer
Katie Lucas
Senior Software Engineer
Jerome Maloberti
Machine Learning Engineer
Arthur Meadows
Head of Investor Relations
Catherine Moriarty
CAO
Patrick Motylinski
Senior Research Scientist
Soren Riis
Research Scientist Consultant
Gary Wood
IT Manager
Maria Minaricova
Head of Business Development

Advisors (2)

Melvyn Weeks
Economics Advisor
Monique Gangloff
Scientific and Biotech Advisor
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