Fetch AI are building the digital world for today, and the future.

Read our whitepaper

What we're building

Fetch brings the world closer together and delivers power to the individual. We’ve built the world’s first truly smart ledger, allowing data to act autonomously. Using machine learning and AI technology, we enable data to cooperate, solving problems instantly and presenting answers directly to you.

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

The Fetch 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.

Applications

Transport: Low friction, connected travel.

Fetch is working on reducing laborious travel planning tasks by using expert autonomous economic agents to organise complex trips, predict potential misconnections and dynamically reroute journeys, rearrange travel plans and 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 model to deliver the most effective energy solution to households without the friction of switching suppliers. Consumers could potentially change providers 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. It is now able to optimise its supply chain from the raw materials to the finished product, giving it the opportunity to massively reduce costs and improve efficiency.

Roadmap

The Team

Humayun Sheikh
Co-founder and CEO
An innovation entrepreneur, founding investor in DeepMind with a record in revolutionising trading in steel sector and now changing the way we transact and travel.
Toby Simpson
Co-founder and CTO
Producer of the successful a-life Creatures series of games and early developer at Deepmind. His thirty years’ experience in software, ten as a CTO, are now focussed on crypto-economics.
Thomas Hain
Co-founder and CSO
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.
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 has been working more than two years full time building distributed ledgers.
Marcin Abram
Machine Learning Scientist
Theoretical physicist and machine learning scientist. Marcin's doctoral research explored topics on coherence and emergent behaviour in quantum systems. His current work focuses on machine learning applications for modelling autonomous economic agents in distributed ledgers.
Chris Atkin
Digital Marketing Coordinator
A qualified journalist with a passion for social media. He has five years of experience at Sky News and BT Sport and has managed the social media accounts of Panama’s largest language school.
Khan Baykaner
Senior Software Engineer
Research engineer in machine learning with experience developing deep reinforcement and generative models, solving problems in digital health, audio/video media and NLP. PhD developing computational auditory models from University of Surrey.
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 High Temperature Superconductors.
Joshua Croft
Software Developer & Ecosystem Coordinator
NLP and data mining specialist in geolocation, natural language and IoT. Ex-PlayStation developer with an MSc in Advanced Computer Science from the University of East Anglia.
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.
Richard Dybowski
AI & ML Research Strategist
Senior AI research scientist and mathematician at the University of Cambridge, researching the application of AI/ML to medicine. PhD in the application of AI to computational chemistry from Leeds University.
Edward Fitzgerald
Senior Software Engineer
A engineer, researcher and technology enthusiast with experience of distributed ledgers, video codecs, networking and low level software optimisation. Strong engineering and mathematical background, he obtained his degree in Electronic Engineering from University of Surrey.
Ali Hosseini
Software Engineer
Expert on Multi-Agent Systems and logical modelling with a background in software engineering. PhD and MSc in Artificial Intelligence from King's College London with excellent academic track record and publications in AI conferences and journals.
Nathan Hutton
Software Engineer
Experienced software engineer and FPGA specialist, previously worked at BAE in high speed communications systems. MEng from The University Of Edinburgh.
Sam Lovell
Social Media Coordinator
Skilled in Social Media with experience to back. A energetic, innovative writer who is driven to achieve. Now helping to boost the public’s awareness of the Fetch team’s incredible work across social media.
Katie Lucas
Senior Software Engineer
Ex-Google SRE and Privacy engineer, she has also worked with Citrix, Hitachi and Grapeshot. Highly experienced in many fields including security systems, military simulations and real-time data-processing pipelines.
Jerome Maloberti
Machine Learning Engineer
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.
Arthur Meadows
Commercialisation and Marketing
International experience in software start-ups and bringing disruptive, high-growth tech products to commercial success. MBA from Judge Business School, University of Cambridge.
Catherine Moriarty
CAO
Dynamic people person with a wealth of commercial experience and a wonderful understanding of maximising peoples' potential. Driven and focused, with humour and respect for everyone she meets. Principled and determined to make the world better. Now bringing a sprinkle of amazing to the Fetch team.
Patrick Motylinski
Senior Research Scientist
Scientific researcher with many years of experience in areas ranging from physics and mathematics, to blockchain technologies and cryptocurrencies. Holds a PhD in theoretical high energy physics from University of Amsterdam, and has several highly cited, peer-reviewed scientific publications, as well as a considerable number of patent applications.
Sebastian Nickel
Machine Learning 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.
Patrick Olden
Blockchain Research Engineer
Former software and ML engineer with postgraduate degrees in economics from the University of Cambridge and the Paris School of Economics (ENS, Sorbonne). Research focused on applying mechanism design to DLTs.
Soren Riis
Research Scientist Consultant
Research Scientist at University of Queen Mary London with the speciality of Multi-user Information Theory, Network Coding, Algorithmics, Complexity Theory and Cryptography. DPhil (PhD) in mathematical logic from University of Oxford.
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.

Advisors

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.
Monique Gangloff
Scientific and Biotech Advisor
Principal investigator/senior scientist at the University of Cambridge, Department of Biochemistry. Her research endeavours have resulted in more than 35 international peer-reviewed publications and 1 patent application.

Partners and Friends

Outlier Ventures
Outlier Ventures is a venture platform focused on building the infrastructure for the next phase of the Internet. We invest and partner with tokenised communities that are creating the new decentralised economy.
Warwick Business School
The AI Innovation Network (AIIN) provides a platform for collaboration across different stakeholders including public, private and third-sector organizations to examine the transformational impact of artificial intelligence.
ULedger
ULedger's stateless blockchain protocol makes it possible for the Fetch network to consume centralised real-world data from IoT devices and other data sources in a provable manner. It brings security, integrity and identify to electronic communications.
MOBI
mobi is a nonprofit organization working with forward thinking companies, governments, and NGOs to make mobility services more efficient, affordable, greener, safer, and less congested by promoting standards and accelerating adoption of blockchain, distributed ledger, and related technologies.
TokenMarket
TokenMarket is a premier ICO information portal and advisory firm. It combines its market experience, resources and data assets to create a professionally tailored, secure and safe solution.

Community

Coming Summer 2018

  • • Develop AEAs
  • • Use our libraries
  • • Be part of the test net
  • • Chat with internal Fetch developers, and other community members
  • • Create uPOW smart contracts.
  • • Limited access; you must apply!

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