Frequently asked questions

What is Fetch?

Fetch is a decentralised digital world in which useful economic activity can take place. This activity is performed by digital entities that we call Autonomous Economic Agents (AEAs). AEAs can work alone, together, serially or in parallel, and they can represent humans, services, themselves, data and more. AEAs connect to the world through our Open Economic Framework (OEF) which acts as an agent’s senses. The OEF presents a highly tailored world to each individual agent, one that is adapted specifically for it. Underpinning this is the Fetch Smart Ledger which provides the network’s integrity and delivers consensus through useful proof of work. Fetch are developing the OEF and Smart Ledger to enable everyone to develop agents. We like to think of Fetch as the ultimate dating system for value providers and those that want that value: connect, and the smart ledger through the OEF will ensure that what you see is precisely what you need to see in order to do business.

How can I get involved with Fetch?

Contact us at [email protected], and take a look at our careers page: fetch.ai/join-us

When is the ICO?

We have made no announcements regarding an ICO at this stage.

What is the hardcap?

We have made no announcements regarding a public token sale or hard-cap at this time.

Where can I find token metrics?

We haven’t released this information yet, but we will be doing so soon. Keep an eye on our social channels.

Is Fetch a decentralised public project?

Yes. All of Fetch’s decentralised technology will be released open-source.

Is it a blockchain?

No. The Fetch Smart Ledger is an entirely new ledger technology that provides the scalability necessary to support millions of transactions per second. We are also developing infrastructure that supports a decentralised digital world and provides a platform for machine learning to deliver accurate predictions to the marketplace. Our technical white paper provides additional information on the ledger structure and how it functions, and we will be releasing a series of more detailed technical whitepapers in the near future.

Is Fetch a permissioned or permissionless system?

Fetch is developing an unpermissioned ledger system. However, we also envisage operating the ledger in permissioned environments, such as healthcare and IoT settings, to facilitate bottom-up deployment of autonomous agents. These could be used, for example, to improve medical diagnoses by linking together information from multiple separate data sources, whilst maintaining the privacy of the underlying data.

What is useful proof of work?

Useful Proof of Work (uPoW) is a mechanism for reaching consensus in the network by performing computation that delivers results that are useful either to the network itself or to individual users of the network. It reclaims this processing power to deliver a decentralised super-computer that provides trust information, the prediction model and the ability to perform public and private distributed computing, allocating computational work according to capacity Such work is delivered as packages that can be broken down and distributed across the network’s nodes for execution, with the cost of verifying that the work was done being trivial in comparison to the cost of doing the work itself. Fetch have built a unique consensus system to store the results of uPoW and a high-performance, machine-learning oriented virtual machine to perform the computing itself. More details of uPoW will be released later this year.

Any working prototype?

We have a working Fetch system internally. This internal test demonstrates the key innovations involved in Fetch: the scalable smart ledger, the open economic framework (that provides the window on the digital world to agents attached to it) and some aspects of the machine learning technologies we are using. In the summer, we will release a public test-net along with the code necessary for everyone to participate and build with Fetch.

I want to invest or become a partner.

Please contact us at [email protected] if you wish to discuss partnerships.

Is there a roadmap?

We have a detailed road-map and development schedule that goes into 2019 and beyond. Briefly, though, we are looking at a public test-net launch in the summer of 2018 with new functionality being added as the year rolls on. The initial main network release will be in the first half of 2019. A more detailed roadmap will be released early summer.

Is there currently a private or presale?

We have made no announcements. If you wish to register your interest, you can email us at [email protected] for more information.

What was your CEO’s involvement with Deepmind?

Humayun’s involvement was to investigate commercial applications of machine learning and artificial intelligence to modelling commodity markets. He did not have a title and was not part of the technical team, but played a role in the initial commercialisation strategy for the technology on the basis of his background in commodity trading and deployment of trading algorithms. Over the past 3 years he has been working to implement predictive analytics in the transport and supply chain sectors.

What was your CTO’s role at DeepMind?

Toby was at DeepMind from 2011 to 2013 and his job title was ‘Head of Software Design’. After 2013 he stayed on as a consultant for a while. The details are available on his LinkedIn profile. His primary influence from an AI/software perspective, though, was from the management and direction of the Creatures series of games in the second half of the 90s. He learnt how metaphors and other inspiration from nature could be used to manage software complexity and generate general purpose AIs that could evolve to better meet the challenges of the environment that they inhabit. He went on to create a biologically inspired MMOG engine where tens of thousands of autonomous agents interacted with each other to allow rich, complex worlds to merge that could adapt to the needs of their users. This philosophy is also a key component of our vision for Fetch.

Can I meet the team when I am in Cambridge?

There will be AMAs and public events where you can meet the team. Contact us at [email protected] if you need more info.

What projects do you consider to be competitors or in the same space as Fetch AI?

We don’t believe there is currently a scalable smart ledger project which allows virtual worlds to be deployed and prediction models to be built.

An incomplete list of projects that operate in a similar space, and that could complement or compete with Fetch is shown below:

  1. Hashgraph (but without an inherent intelligence built into the ledger),
  2. IOTA (IoT data exchange but no intelligence),
  3. Ocean protocol (a marketplace for data and algorithms),
  4. SingularityNet (AGI deployment claims but not really sure how),
  5. Satori (platform on hashgraph ledger/protocol which does not inherently include any intelligence features)
  6. Neurochain — we do not have enough information to draw a conclusion at this stage, but we watch it with interest.

Our approach is to build our framework on top of our own ‘Smart Ledger’ from the bottom up, with intelligence built into it from the start, and with the tools to create and refine a collective intelligence, and deliver it to all its users. FETCH and the AEAs that live in its world are able to adapt dynamically to deliver or receive value.

On a final note, our economic framework allows dynamic marketplaces to be created by the AEAs, which is unique.

Please refer to our white paper and the economic background paper (links in pinned messages). We are releasing a number of "deep dive" technical papers on individual innovations and subject areas in the coming few months.

How far from an MVP?

Not too far, we’re aiming for a public test release in 2018.

Who are Fetch in partnerships with?

We are developing a number of exciting partnerships and relationships, both commercial and academic. We are not yet ready to announce details of these, but will do so in the near future.

Who does Fetch have on board as advisors?

We will be releasing information about this in the coming months.

What is real, and unreal estate?

The Fetch world is what we'd describe as “loosely tied” to reality: it exists as space, you can position yourself in it, and the concepts of range and direction apply as you’d imagine them to. You can, for example, position yourself around London and look towards Cambridge and generally see things (and by things, I mean autonomous economic agents) that are in that direction. However, precisely what you see and exactly where it is positioned varies according to its relevance to you at this time as determined by the network’s collective intelligence. This ability to have a dynamic, somewhat abstract representation of reality where you may be viewed as being in many places depending on your importance to each of your observers is what we call unreal estate: a representation of the world tailored for you, right now.

What press have you had?

You can subscribe to our Twitter feed, view our blog or keep up with our progress via our Telegram channel. Some links of note:

https://techcrunch.com/2018/05/02/the-mobility-open-blockchain-initiative-bmw-gm-ford-renault/

https://www.economist.com/news/science-and-technology/21739644-securing-data-networks-new-ways-trade-data

Where is your whitepaper?

Just here. Additional papers will be released in the coming months that deep-dive into individual subjects involving Fetch such as the machine learning and AI, useful proof-of-work, the digital world and how to interface to it and more.

What are your social channels?

Twitter: https://twitter.com/fetch_ai
Telegram: https://t.me/fetch_ai
Discord: https://discord.gg/rys8rE

You can also contact us by email at [email protected].

Where can I view the team?

You can view many of the team’s profiles on LinkedIn and also on our web site at https://fetch.ai. Brief biographies for the core team are also presented in our Technical Introduction White Paper available at our web-site

When was Fetch founded?

Fetch AI was founded in early 2017, following a merger of two independent companies, Itzme AI and uVue. Itzme AI was operating in the field of social networks while uVue was involved in developing control systems for autonomous vehicles.