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Introducing Fetch.ai

The Emergent Intelligence Protocol

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The world’s first adaptive, self-organising ‘smart ledger’.

Dumb ledgers and ‘smart’ contracts are a false economy: slow, costly and unfit for the demands of complex autonomous systems.

Fetch is a next-generation protocol built with a ready-to-go Useful Proof of Work system invented by world-leading AI minds.

Fetch is the missing critical infrastructure for tomorrow’s digital economy.

We are building it...
Technology
Software stack for a decentralised digital world.

Autonomous Economic Agents

Fetch is a decentralised digital world in which useful economic activity takes place. This activity is performed by Autonomous Economic Agents (AEAs). These are digital entities that can transact independently of human intervention and can represent themselves, devices, services or individuals. Agents can work alone or together to construct solutions to today’s complex problems.

Open Economic Framework

The digital world in which agents live is called the Open Economic Framework (OEF). This world acts as the ultimate value exchange dating agency: each agent sees a space optimised in real-time just for them, where important things are clear and visible and less important things are simply removed. The OEF provides the senses for agents: their sight, touch and hearing to present to them a world unique to the viewer.

Smart Ledger

Underpinning the digital world is the smart ledger: a new generation of learning ledger that provides a collective super-intelligence to support agents’ individual intelligences. It provides market intelligence, previously locked up in centralised silos, to everyone so that any agent that wants something is assured of the shortest possible route to find another that has it. Fetch’s smart ledger scales to support millions of transactions per second and is able to restructure itself to present the OEF’s digital world to the agents that use it.

Our expertise & skills
Founding Team
The founding team has worked together on AI and its application in autonomous systems for the last 3 years. It has further spent over a year partnered with world leading economists and professors from Cambridge University, Sheffield University, Imperial College and Outlier Ventures on building open economic frameworks underpinned with crypto assets and DLT.
Humayun Sheikh
Co-founder and CEO, Fetch.ai
An innovation entrepreneur, founding investor in DeepMind with record in revolutionising trading in steel sector and now changing the way we transact and travel.
Toby Simpson
Co-founder and CTO, Fetch.ai
Toby is a pioneer in AI, autonomous agents and shared virtual world technology. He produced the cult hit Creatures series and was one of the initial team at DeepMind looking at nature’s contribution to AGI.
Thomas Hain
Co-founder and Chief Scientific Officer
Professor at Sheffield and established scientist in advanced machine learning AI who bridges real world and academia and is inspired by the opportunities AI brings to modern society.
Rest of the team
Our expertise & skills
Core Team
Jonathan Ward
Senior Machine Learning Scientist
Highly-cited researcher in AI excited by the potential of intelligent systems to create the economy of the future. PhD in machine learning from University College London with earlier training in physics and mathematics.
Troels Rønnow
Senior Software Engineer
A scientist and innovator, that benchmarked D-Wave Two, co-authored 35 patent applications who have been working more than two years full time building distributed ledgers.
Jerome Maloberti
Machine Learning Developer
Implementing large scale multi-agent systems with ML algorithms with nearly 20 years’ experience following a first degree in Software Engineering and a PhD in Artificial Intelligence.
Peter Bukva
Software Engineer
Experienced software engineer and scientist. Previously worked at Bloomberg and Siemens Corporate Research. MSc in Solid State Physics and PhD in Hight Temperature Superconductors.
Arthur Meadows
Commercialisation Director
International experience in software start-ups and bringing disruptive, high-growth tech products to commercial success. MBA from Judge Business School, University of Cambridge.
Sebastian Nickel
>Machine Learning Research Engineer
Architecting ML models & algorithms for expressing individuals’ actions and preferences. With a background in cognitive sciences & NLP, Sebastian holds degrees in both Mathematics and Psychology.
Josh Croft
Software Developer & Ecosystem Coordinator
NLP and data mining specialist in geo-location, natural language and IoT. Ex-PlayStation developer with an MSc in Advanced Computer Science from the University of East Anglia.
Nathan Hutton
Software Engineer
Experienced software engineer and FPGA specialist, previously worked at BAE on high speed communication systems. MEng from The University Of Edinburgh.
Gary Wood
IT Manager
A multi-talented IT Manager with over 15 years experience. Well-versed at supporting fast moving, dynamic development teams. Previously designed, implemented and managed an onsite data-centre running a massively multi-player online game for the BBC.
Robert Dickson
Software Engineer
A seasoned software engineer and architect with experience in dynamics simulations, low-level protocols, 3D graphics and virtual machines. He has a strong artificial life and mathematics background.
Melvyn Weeks
Economics Advisor
Assistant Professor in Economics at University of Cambridge, researching the application of Machine Learning to market pricing. Senior Economic Advisor to Ofgem, UK’s Energy regulator.
Jonathan Ward
Senior Machine Learning Scientist
Highly-cited researcher in AI excited by the potential of intelligent systems to create the economy of the future. PhD in machine learning from University College London with earlier training in physics and mathematics.
Troels Rønnow
Senior Software Engineer
A scientist and innovator, that benchmarked D-Wave Two, co-authored 35 patent applications who have been working more than two years full time building distributed ledgers.
Jerome Maloberti
Machine Learning Developer
Implementing large scale multi-agent systems with ML algorithms with nearly 20 years’ experience following a first degree in Software Engineering and a PhD in Artificial Intelligence.
Peter Bukva
Software Engineer
Experienced software engineer and scientist. Previously worked at Bloomberg and Siemens Corporate Research. MSc in Solid State Physics and PhD in Hight Temperature Superconductors.
Arthur Meadows
Commercialisation Director
International experience in software start-ups and bringing disruptive, high-growth tech products to commercial success. MBA from Judge Business School, University of Cambridge.
Sebastian Nickel
Machine Learning Research Engineer
Architecting ML models & algorithms for expressing individuals’ actions and preferences. With a background in cognitive sciences & NLP, Sebastian holds degrees in both Mathematics and Psychology.
Josh Croft
Software Developer & Ecosystem Coordinator
NLP and data mining specialist in geo-location, natural language and IoT. Ex-PlayStation developer with an MSc in Advanced Computer Science from the University of East Anglia.
Nathan Hutton
Software Engineer
Experienced software engineer and FPGA specialist, previously worked at BAE on high speed communication systems. MEng from The University Of Edinburgh.
Gary Wood
IT Manager
A multi-talented IT Manager with over 15 years experience. Well-versed at supporting fast moving, dynamic development teams. Previously designed, implemented and managed an onsite data-centre running a massively multi-player online game for the BBC.
Robert Dickson
Software Engineer
A seasoned software engineer and architect with experience in dynamics simulations, low-level protocols, 3D graphics and virtual machines. He has a strong artificial life and mathematics background.
Melvyn Weeks
Economics Advisor
Assistant Professor in Economics at University of Cambridge, researching the application of Machine Learning to market pricing. Senior Economic Advisor to Ofgem, UK’s Energy regulator.
Rest of the team
Transforming the future economy
Applications
Fetch is applying AI to real-world problems that exist in tomorrow's economy, enable a new level of simplicity and efficiency to end users, service providers and partners.
Transport: A low friction, connected travel
FETCH is working on reducing laborious, travel planning tasks by using expert autonomous economic agents to organise complex trips, forward predict potential misconnections and dynamically reroute journeys, rearrange travel plans, rebooking reservations without intervention. The goal is to improve users’ and transport providers’ efficiency, service levels and satisfaction.
Energy: Don’t switch, be fluid!
FETCH is working on creating a fluid energy paradigm to deliver most effective energy solution to households without the friction of switching suppliers, potentially down to the minute or even by each appliance’s unique energy demands. The concept is based around Software Defined Digital Cells .
Supply Chain: It’s alive
FETCH is enabling the trillion dollar steel sector to autonomously and collaboratively self manage and optimise its supply chain from raw materials to the finished product, driving costs with the potential to massively improve efficiency and reduce capital deployed. This includes stock management, transport, financing and insuring throughout the supply chain.
Fetch needs YOU!
GET INVOLVED
Fetch.AI is building the technology and tools to support this exciting vision of the next generation of economic activity. There are a great number of ways to participate in this ground-breaking project.
Develop agents and new applications
Developers

Fetch will be providing a comprehensive SDK allowing the development of agents in languages such as C++ and Python as well as a set of frameworks to allow web developers to design, configure and author agents. Agents are able to explore the Fetch decentralised digital world looking for opportunities to deliver their value to others, or gather relevant value for themselves. Developing this next generation of economic agents is an opportunity for emerging and new economic models and Fetch will be supporting developers in this work.

Partnerships and corporate support
Corporates

Fetch’s world delivers a new market for data, information and services by providing them with “digital representatives”. These representatives, autonomous economic agents, set data free and bring it to life. Fetch supports such application through partnerships and corporate participation to enable existing resources to be deployed into the Fetch framework with the minimum of friction.

Corporates can interface their closed, internal networks to the Fetch network without exposing their proprietary IP.

Be part of the Fetch network
Miners

Fetch nodes perform a unique, useful proof-of-work. This generates Fetch tokens that can be exchanged for utility value on the network, thus providing an incentive for operating a node. This “mining” is non-competitive and regardless of the processing power that you might have, there is a benefit from doing it. Additionally, a Fetch node is part of the digital world: by connecting, you provide a service to the network’s agents which creates further tokens for a node operator.

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Contact Information
St. John's Innovation Centre,
Cowley Road,
Cambridge
UK. CB4 0WS

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