Share (launched in March 2018) is building a decentralized machine learning platform based on a distributed ledger, that enables anyone to share or exchange data. With this, users can deliver data or provide services and be rewarded in Fetch.Ai's token (FET).[3]

Overview was launched in March 2018 by a team based in Cambridge, United Kingdom. aims to be at the forefront of accelerating research and the deployment of emerging technologies such as blockchain and AI.

Its solutions are designed for people, organizations, and IOT. The project has created an Open Economic Framework (OEF) that serves as a decentralized search and a value exchange platform for various autonomous economic agents. has digital intelligence at its heart: it aims to deliver actionable predictions, instant trust information, enable the construction of robust collaborative models, and improve efficiencies and streamlining processes.[2]

Digital Twin deployed the Twin personality feature for users to add their characteristics into their twin.

A Digital Twin is a digital version of a real-world person or business that helps users search and discover through a digital ecosystem. Helping your real-world self do what matters to you in your work and life.

All users need to do is head over to their website to get started

  • Login
  • Click 'update twin profile
  • Choose your personality and click submit


At the helm of operation in is a team of top-class software engineers and researchers working across multiple fields like multi-agent systems, Machine learning, Economics, and Cryptography.

Humayun SheikhCEO and Co-founder
Toby SimpsonCOO, Co-founder
Thomas HainCSO, Co-Founder
Jonathan WardCTO
Maria MinaricovaHead of Business Development
Attila BagolySoftware Engineer
Peter BukvaPrincipal Software Engineer
Joshua CroftApplication Lead
Robert DicksonSenior Software Engineer
Ed FitzgeraldLead Software Engineer
Nathan HuttonSenior Software Engineer
Aristoteles TriantafyllidisSoftware Engineer
Jiri VestfalSoftware Engineer
Juan BesaSoftware Engineer
Denis TrapeznikovSenior Software Engineer
Lokman RahmaniSenior Software Engineer
Emma SmithMachine Learning Engineer

Services is building an open-access, tokenized, decentralized machine learning network to enable smart infrastructure built around a decentralized digital economy.'s focus is on:

  • Machine Learning - Blockchain can be used to decentralize federated learning algorithms so that the benefits of these collective machine learning models are shared across the multiple owners of data.
  • Agents Simple development and deployment of autonomous agent populations that fulfill economic goals through strategy, communication, search, and the exchange of value.
  • Cryptography - Enhance the speed, efficiency, and security of the blockchain using next-generation multi-party computation (MPC) protocols for random beacons and aggregated signatures.

Token Economics

The native token used in's ecosystem is FET. The token serves as the digital currency for all transactions, as well as for network operations such as secure communications.

FET can be used for many purposes, the biggest five of which are:

  • Ability to connect agents and nodes to the network.
  • Value exchange between agents. FETs allow for two agents to perform a value exchange without any restraint irrespective of their location.
  • Access to the digital world. FETs are needed to access, view, and interact with the decentralized digital world.
  • Ability to access and develop ledger-based AI/ML algorithms.
  • For exchange into Fetch.AI’s operational fuel. Fetch.AI’s operational fuel allows access to processor time for contract execution and services for agents.
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