Fetch.AI

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 (6%)
Total supply: 1,151,441,225.0000 FET
Financial
Raised $ 6,000,000
ICO Price: β‰ˆ 0.085 USD
Accepting: BNB
Hard cap: 6,000,000 USD
Screenshots taken on 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<br /> <br /> 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
Participates in a number of projects
Toby Simpson
Co-founder and CTO
Participates in a number of projects
Thomas Hain
Co-founder and CSO
Participates in a number of projects
Jonathan Ward
Head of Research
Participates in a number of projects
Troels RΓΈnnow
Head of Software Engineering
Participates in a number of projects
Marcin Abram
Machine Learning Scientist
Participates in a number of projects
Chris Atkin
Digital Marketing Coordinator
Participates in a number of projects
Khan Baykaner
Senior Software Engineer
Participates in a number of projects
Peter Bukva
Principal Software Engineer
Participates in a number of projects
Joshua Croft
Software Developer & Ecosystem Coordinator
Participates in a number of projects
Robert Dickson
Software Engineer
Participates in a number of projects
Richard Dybowski
AI & ML Research Strategist
Participates in a number of projects
Edward Fitzgerald
Senior Software Engineer
Participates in a number of projects
Ali Hosseini
Software Engineer
Participates in a number of projects
Nathan Hutton
Software Engineer
Participates in a number of projects
Katie Lucas
Senior Software Engineer
Participates in a number of projects
Jerome Maloberti
Machine Learning Engineer
Participates in a number of projects
Arthur Meadows
Head of Investor Relations
Participates in a number of projects
Catherine Moriarty
CAO
Participates in a number of projects
Patrick Motylinski
Senior Research Scientist
Participates in a number of projects
Soren Riis
Research Scientist Consultant
Participates in a number of projects
Gary Wood
IT Manager
Participates in a number of projects
Maria Minaricova
Head of Business Development
Participates in a number of projects

Advisors (2)

Melvyn Weeks
Economics Advisor
Participates in a number of projects
Monique Gangloff
Scientific and Biotech Advisor
Participates in a number of projects
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