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Fetch.AI is a decentralised digital world in which useful economic activity takes place. This activity is performed by Autonomous Agents. 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.
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.
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.AI’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.
Telegram users
Lines of C++ code.
ETH raised and counting.
World-class team members
Access to the test network will be extended by invite and there will be beta applications for network participation and wallets.
This release will focus on consensus alongside an improved OEF, plus ledger-based, native multi-party, multi-dependency auctions alongside enhanced decentralised ledger computing. See our article on Synergetic Smart Contracts.
Alpha release will have all major features functioning approximately as expected. Working on performance improvement. Beta release will effectively be complete: all features working as expected, requiring full-scale operational testing.
Initial release of the Fetch.AI main-network powered by the Fetch.AI native token.
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.
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.
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.
A researcher in machine learning, complex systems and blockchain technology. Excited by the challenge of deploying decentralized multi-agent systems in smart cities, supply chain and healthcare. PhD in Machine Learning from UCL.
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.
Experienced in managing strategic program delivery, business development and the application of state-of-the-art ICTs. Worked at Oracle and at Europe’s e-infrastructure GEANT collaborated with flagship pan-European research groups and e-infrastructures.
International experience in software start-ups and bringing disruptive, high-growth tech products to commercial success. MBA from Judge Business School, University of Cambridge.
An enthusiastic software engineer and trained scientist with an MSc in statistical and particle physics. He previously worked on numerical hydrodynamics, particle physics data analysis and various machine learning projects.
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.
Experienced software engineer and scientist. Previously worked at Bloomberg and Siemens Corporate Research. MSc in Solid State Physics and PhD in High Temperature Superconductors.
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.
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.
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.
Experienced software engineer and FPGA specialist, previously worked at BAE in high speed communications systems. MEng from The University Of Edinburgh.
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.
A computer developer with specialisation in games’ production. He has a passion for programming and producing innovative projects. He has a BA in Informatics and Telecommunications and a Diploma with honors from SAE Institute in Game Production. He is passionate about programming and creating innovative projects by leveraging cutting-edge technologies and engines.
A software engineer with a background in video games and deep learning for image processing. He is motivated by the desire to find clean and elegant solutions to complex problems.
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.
Senior engineer and technical manager with 20 years of industry experience. In 2000, he led the game programming team on the world-wide best selling title, The Thing. He then moved to Sony where he built up a research group developing computer vision algorithms, which formed the basis of a number of internationally successful augmented reality PlayStation games.
M.Sc.Eng. in Computer Science from Sapienza University of Rome, where he worked on a thesis in Reinforcement Learning. Software Engineer with solid programming skills, he's working on the OEF.
Associate Professor in Computer Security at University of Birmingham with 15 years of experience in applied cryptography research, both in academy and industry. His work has been published in top academic venues in computer security and has been deployed by governments around the globe.
Combining expertise in both machine learning and economics with an MSc Computational Statistics and Machine Learning from UCL and previous experience at the Swiss National Bank.
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.
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.
Researcher in behavioural, experimental and computational economics, applying game theory to the economics of networks and the design of decentralized marketplaces. PhD in AI from the University of Toulouse.
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.
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.
Worked previously as a researcher in theoretical physics and mathematics with an interest in technical aspects of blockchains. She holds a PhD in string theory from King’s College London.
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.
A HR generalist with extensive experience within the retail and tech sector after working for River Island and Nokia Technologies. A highly motivated problem solver and a passionate people person.
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.AI team.
A recruiter with over 15 years’ experience in technology recruiting. Passionate about technology and who enjoys working closely with engineers to identify high calibre talent. MBA from The University of Miami.
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.
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.
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.
Dr. Armes is a world-leading biochemist, molecular biologist and entrepreneur. He received his PhD from the Imperial Cancer Research Fund in London for work on comparative genome structure. He subsequently founded TwistDx, serving as CSO and CEO prior to the company’s acquisition.
An inventor of complex autonomous agents for nearly 40 years, creator of the Creatures artificial life games and proud father to a small robot now in the Science Museum, Steve has held research fellowships in artificial life, psychology, biomimetics and creative technologies. He received a D.Univ from the OU and was made an OBE in 2000 for Services to Computing.
Founder and CEO of Outlier Ventures, Jamie has cultivated a powerful ecosystem of corporate partners, investors and government agencies to help companies scale. He also advocates for the professionalisation of the industry through international media.
Kash Iftikhar is Vice President of product, strategy & GTM for Oracle Cloud Infrastructure. He previously worked at PLUMgrid, a software defined networking start-up which was acquired by VMware. He has also held executive management positions at Force10 Networks and Cisco.
Mobility Open Blockchain Initiative (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.
Blockchain for Europe association has been created to represent the international blockchain industry players such as Ripple, Fetch.AI, Emurgo (Cardano), NEM, and Bloq on the European level. Its aim is to contribute to the debate by supporting European decision makers in their goal to make blockchain a success on European level.
The Warwick Business School (WBS) AI Innovation Network (AIIN) brings together scientists from diverse disciplines, as well as corporate and technology partners to examine the transformational impact of artificial intelligence on business and society.
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.
Binance Exchange is one of the fastest and most popular cryptocurrency exchange platforms in the world. Since the beginning of 2018, Binance is considered to be the largest crypto exchange in the world, measured in trading volume.
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.
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.
Spark Digital Capital is a New York Based VC firm focused on early stage blockchain projects. We believe in a world where blockchain will create unlimited opportunities.
BlockTopian is a New York based consulting firm that focuses on blockchain technology. We work with our clients to build the capabilities that enable companies to excel in the digital era.
The Trusted IoT Alliance is built by enterprises and developers that are wanting to build the future of the economy through the development of an ecosystem consortium. TIoTA seeks to enable trust in the data produced by such IoT systems in a distributed ledger/blockchain agnostic fashion, thereby enabling a decentralized trust model for interoperable digitized identities of physical goods, documents, immobilized assets, sensors, and machines.
Fetch.AI is a decentralised digital representation of the world in which autonomous software agents perform useful economic work. This means that they can perform tasks, such as delivering data or providing services, and are rewarded with a digital currency for their efforts — the Fetch.AI Token.
Fetch.AI is a decentralised digital representation of the world in which autonomous software agents perform useful economic work. This means that they can perform tasks, such as delivering data or providing services, and are rewarded with a digital currency for their efforts — the Fetch.AI Token.
Focused on understanding the evolution and requirements of marketplaces that are emerging in digital economies. We’re pleased to share this substantial work with the community for thoughts, comments and feedback.
Fetch.AI is a decentralised digital representation of the world in which autonomous software agents perform useful economic work. This means that they can perform tasks, such as delivering data or providing services, and are rewarded with a digital currency for their efforts — the Fetch.AI Token
Fetch.AI
St. John's Innovation Centre,
Cowley Road,
CB4 0WS,
Cambridge, UK
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