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WebsiteBinance Launchpad

Fetch.ai (FET)

ICO
IEO

At Fetch.ai we are accelerating research and deployment of emerging technologies, including blockchain and artificial intelligence; enhancing and optimizing solutions to everyday problems. The platform simplifies the deployment of algorithms, IoT and complex systems. By using a collective learning AI/ML architecture, we enable devices and software agents to find each other, learn from each other and exchange value with each other, enhancing and optimizing solutions to everyday problems through intelligent connectivity, machine learning and AI.

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Overview

Project industryAI & Neural Networks / Cosmos Ecosystem
Product typeMarketplace
FoundedUnited Kingdom
WhitepaperFetch.ai White Paper Open

What is Fetch.ai

Fetch.ai is a decentralized digital representation of the world in which autonomous software agents perform useful economic work. This means that they can perform tasks, such as delivering
data or providing services, and are rewarded with a digital currency for their efforts — the Fetch.ai Token.

These agents can be thought of as digital entities: life-forms able to make decisions on their own
behalf as well as on behalf of their stakeholders (individuals, private enterprises and governments for
example). Fetch.ai's digital world is exposed to agents via its Open Economic Framework (OEF) and is
underpinned by unique smart ledger technology to deliver high performance, low cost transactions. The
ledger delivers useful proof-of-work that builds market intelligence and trust over time — growing the
value of the network as it is used. The Fetch.ai is interoperable and can be neatly interfaced to existing systems with minimal effort, allowing it to take advantage of the old economy whilst building the new: plug existing data in to
Fetch.ai and watch markets spontaneously form from the bottom up.

Applications: The applications of such technology are numerous. By bringing data to life, Fetch.ai solves one of the greatest problems in the data industry today: data can't sell itself. With Fetch.ai, it can: data is able to actively take advantage of any opportunity to exploit itself in the marketplace in an environment
that's constantly reorganising to make that task as easy as possible. Internet of Things (IoT) devices
inhabited by Fetch.ai agents can increase utilization by capitalizing on short-lived opportunities to sell the information that they possess in existing, as well as new, markets: an agent in a vehicle can provide
weather and road conditions by simply relaying the activity of its windscreen wiper and washer activity.
Fetch.ai's decentralized digital world enables the emergence of new marketplaces and allows this "unreal
estate" to place relevant markets near each other for ease of exploration. The ability of agents to serve
as representatives for data, hardware and services enables a better coordinated delivery of highly or
even loosely connected services such as transport and insurance. Fetch.ai creates a huge population of
digital data analysts and sales agents who can work together, alone, or with human or corporate masters
to reduce the cost of delivering complex solutions in our daily lives.

New opportunities: Fetch.ai's autonomous agents actively push their value out to those who need it or who unknowingly need it. The Open Economic Framework provides a digital world for them to inhabit
that grows in value as it is used: over time, the collective intelligence that is formed provides
unparalleled guidance allowing for high speed, high reliability transactions. The network's expanding
compute power provides all agents with the ability to gain new insights and understanding from their
data. With machine learning technology integrated throughout the system, from the ledger to the
agents themselves, it is a network that enables, encourages and deploys intelligence, and that actively
creates new knowledge. Entire new industries can be built from the development of autonomous agents as opportunities exist to replace human intermediaries with trusted digital agents. Previously unprofitable data and services become valuable with Fetch.ai, as the cost and friction of applying them is dramatically reduced. Data and hardware can now get up on their own two feet, get out there and sell themselves entirely free of human intervention.

The FET Token: There is a fixed number of divisible tokens that are used on the network as the digital currency for all transactions, as well as for network operations such as secure communications. Tokens can also serve as a refundable deposit for both nodes and agents wishing to perform certain operations (as a security mechanism that discourages bad behaviour). As Fetch.ai secures its foothold in the data, transport, services, and IoT industries, its token grows in demand as each sector makes a larger and larger contribution to the Fetch.ai network’s economic throughput.

Details

Pre-sales: Apr 03, 2018 - Jul 10, 2018
Public sales: Feb 25, 2019 - Feb 25, 2019
IEO (Binance Launchpad): Mar 02, 2019 - Mar 02, 2019
Token supply: 1,152,997,575 FET
Total tokens for sale: 69,179,855 FET
Hard cap: 6,000,000 USD
Raised: 6,000,000 USD

Legal

Country limitations: Afghanistan, Albania, Belarus, Bosnia and Herzegovina, Burundi, Central African Republic, Cote d'Ivoire, Mainland China, Cuba, Democratic Republic of Congo, Ethiopia, Guinea, Guinea-Bissau, Iran, Iraq, Lebanon, Liberia, Libya, Malaysia, Myanmar (Burma), North Korea, Republic of Macedonia (FYROM), Serbia, Somalia, South Sudan, Sri Lanka, Sudan, Syria, Thailand, Trinidad and Tobago, Tunisia, Uganda, Ukraine, United States of America, Venezuela, Yemen, Zimbabwe
Registration country: United Kingdom
Registration year: 2018
Office address: St. John's Innovation Centre, Cowley Road, Cambridge, CB4 0WS, UK

Token info

Ticker: FET
Type: Utility-token
Token standard: ERC20
Token price in USD: 1 FET = 0.0867 USD
Accepted currencies: BNB

Fetch.ai Roadmap

1
Q1, 2020
  • Chrome Fetch wallet, improved block explorer for native network
  • Improved stability and performance of native Fetch.ai network
  • Agent framework v0.3: smart contract integration, agent component registry, protocol generator, IPFS integration and more
  • 2
    Q2, 2020
  • Permissionless peer-to-peer agent communication network
  • Agent Framework integration with identity providers such as Sovrin
  • Improved Agent Framework performance and APIs
  • Foundation funding and support for Fetch.ai community projects in DeFi, agents and ML
  • Transportation agent population for community and other uses
  • Metals and commodities exchange, enabling commodity markets to trade in tokenized forms and enables buyback of FET
  • Shared agent components for plug-and-play agent construction
  • Testnet for decentralized random beacon and tools for interoperability with Ethereum and Cosmos ecosystems
  • Demonstration of on-chain and off-chain collective learning system
  • 3
    Q3, 2020
  • Release of decentralized random beacon network
  • Exciting un-named Fintech application in the property sector
  • Governance structure for Fetch.ai to ensure decentralized ownership and maintenance
  • Open source release of collective learning system and applications to healthcare and financial services
  • Major new agent populations in several areas, including DeFi and transportation
  • New OEF release: decentralized, scalable geographic and semantic agent searches which all users can run or use
  • Agent Framework release focussing on security and decision making
  • 4
    Q4, 2020
  • Agent framework v1.0 release
  • Enhanced smart contract functionality
  • Integration of collective learning framework with MPC system for privacy-preserving applications
  • Project team

    Humayun Sheikh
    Humayun Sheikh
    Co-founder and CEO
    Humayun Sheikh linkedin
    Toby Simpson
    Toby Simpson
    Co-founder and CTO
    Toby Simpson linkedin
    Thomas Hain
    Thomas Hain
    Co-founder and CSO
    Thomas Hain linkedin
    Jonathan Ward
    Jonathan Ward
    Senior Machine Learning Scientist
    Jonathan Ward linkedin
    Troels Rønnow
    Troels Rønnow
    Senior Software Engineer
    Troels Rønnow linkedin
    Marcin Abram
    Marcin Abram
    Machine Learning Scientist
    Marcin Abram linkedin
    Chris Atkin
    Chris Atkin
    Digital Marketing Coordinator
    Chris Atkin linkedin
    Khan Baykaner
    Khan Baykaner
    Senior Software Engineer
    Khan Baykaner linkedin
    Peter Bukva
    Peter Bukva
    Software Engineer
    Peter Bukva linkedin
    Joshua Croft
    Joshua Croft
    Software Developer & Ecosystem Coordinator
    Joshua Croft linkedin
    Robert Dickson
    Robert Dickson
    Software Engineer
    Robert Dickson linkedin
    Richard Dybowski
    Richard Dybowski
    AI & ML Research Strategist
    Richard Dybowski linkedin
    Edward Fitzgerald
    Edward Fitzgerald
    Senior Software Engineer
    Edward Fitzgerald linkedin
    Ali Hosseini
    Ali Hosseini
    Software Engineer
    Ali Hosseini linkedin
    Nathan Hutton
    Nathan Hutton
    Software Engineer
    Nathan Hutton linkedin
    Sam Lovell
    Sam Lovell
    Social Media Coordinator
    Sam Lovell linkedin
    Katie Lucas
    Katie Lucas
    Senior Software Engineer
    Katie Lucas linkedin
    Jerome Maloberti
    Jerome Maloberti
    Machine Learning Engineer
    Jerome Maloberti linkedin
    Arthur Meadows
    Arthur Meadows
    Commercialisation and Marketing
    Arthur Meadows linkedin
    Catherine Moriarty
    Catherine Moriarty
    CAO
    Catherine Moriarty linkedin
    Patrick Motylinski
    Patrick Motylinski
    Senior Research Scientist
    Patrick Motylinski linkedin
    Sebastian Nickel
    Sebastian Nickel
    Machine Learning Engineer
    Sebastian Nickel linkedin
    Patrick Olden
    Patrick Olden
    Blockchain Research Engineer
    Patrick Olden linkedin
    Soren Riis
    Soren Riis
    Research Scientist Consultant
    Soren Riis linkedin
    Gary Wood
    Gary Wood
    IT Manager
    Gary Wood linkedin

    Advisors

    Melvyn Weeks
    Melvyn Weeks
    Economics Advisor
    Melvyn Weeks linkedin
    Monique Gangloff
    Monique Gangloff
    Scientific and Biotech Advisor
    Monique Gangloff linkedin

    Social media

    Fetch.ai web-siteFetch.ai RedditFetch.ai MediumFetch.aiYouTubeFetch.ai TelegramFetch.ai LinkedInFetch.ai X (Twitter)Fetch.ai FacebookFetch.ai SlackFetch.ai Github

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