Fetch.AI 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.
Yes, Fetch.AI held a public token sale on Binance Launchpad on 25 February 2019. Due to overwhelming public demand, $6m was raised in just 22 seconds. Following the sale, the entire team is focussing its efforts on releasing more of Fetch.AI’s technology over the coming weeks and months.
These can be found in our blue paper, which is available in eight different languages. You can find more details about the token sale beginning on 25 February by visiting our project page on Binance Launchpad.
Please contact us at [email protected] if you wish to discuss partnerships.
We have had an internally operational test-net that has up to 250 nodes since September. This internal test demonstrates the key innovations involved in Fetch.AI: 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. By the end of April the full public test-network will be open to all, with the first version of our smart contracts and custom Virtual Machine (VM) language.
Yes. All of Fetch.AI’s decentralised technology will be released open-source.
No. The Fetch.AI 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 whitepaper, the exchange’s 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.
Fetch.AI 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.
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.
The Fetch.AI 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 would 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.
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 three years he has been working to implement predictive analytics in the transport and supply chain sectors.
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 1990s. 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.AI .
There will be AMAs and public events where you can meet the team. Contact us at [email protected] if you would like more information.
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.AI is shown below:
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.
Fetch.AI are working with a growing number of partners. We are excited to announce agreements with several more in the coming months, but the ones we have discussed publicly include:
Alongside Ripple, NEM and EMURGO/Cardano we recently founded Blockchain for Europe. The association will represent blockchain originating organisations in an attempt to create a unified voice for the blockchain industry at European level.
We are collaborating with Clustermarket, an online sharing platform for scientific equipment and services. They are using hundreds of our autonomous agents to maximise asset utilisation and provide personalised predictions for users and providers. GE Healthcare Life Sciences are also working with us on this platform.
We are proud to be part of the MOBI consortium, collaborating with companies such as BMW, Bosch and Ford. The group is dedicated to exploring the opportunities of applying blockchain technology for the benefit of the mobility industry, consumers and communities.
Fetch.AI benefit from the assistance of advisors from a wide range of sectors:
As our project has developed we have received coverage from a range of publications. A few of the most notable are listed below:
Together we can thwart the big-tech data grab (The Guardian)
New ways to trade data (The Economist)
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.