Artificial Intelligence for Blockchains

Fetch.ai is building an open access, tokenized, decentralized machine learning network to enable smart infrastructure built around a decentralized digital economy.

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Bosch and Fetch.ai announce collaboration

Bosch is working with Fetch.ai as part of the launch of a fully functional blockchain network (v2.0 main-net), testing key features on the test-net until the end of February 2021. Sharing a common vision, the strategic advance engineering project “Economy of Things” (EoT) at Bosch Research and Fetch.ai aim to transform existing digital ecosystems using decentralized ledger technologies (DLT) like blockchain. Cambridge-based Fetch.ai is also committed to ensuring that artificial intelligence (AI) makes its way into blockchains.
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Fetch.ai and Festo Team To Launch Decentralized Manufacturing Marketplace

Fetch.ai, a Cambridge-based artificial intelligence lab building an open-access decentralized machine learning network for smart infrastructure, announced today a collaboration with Festo, a leading international manufacturer of pneumatic and electromechanical systems, components, and controls for process and industrial automation.
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Fetch.ai nabs $5M in institutional investment; Fireblocks to add support for FET Token

GDA Group & affiliates plans to invest 5 Million into the Fetch ecosystem. In conjunction with the newest injection of funds, FET, Fetch.ai’s native token, will also be added to Fireblocks’ secure wallet and infrastructure platform for institutional investments.
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What is Fetch.ai

At Fetch.ai we build tools and infrastructure to enable a decentralized digital economy.

Fetch.ai, a Cambridge-based artificial intelligence lab, is building a decentralized machine learning platform based on a distributed ledger, that enables secure sharing, connection and transactions based on any data globally.

Fetch.ai’s network is based around an open-source technology that any user can run to connect to the network, giving access to the power of AI on a world-scale secure dataset, to carry out complex coordination tasks in the modern economy.

On this network a series of software agents represent and act on behalf of their owners. These autonomous agents work to provide an optimised service across a variety of ecosystems, to the benefit of both suppliers and consumers.

This system has wide potential in many areas. Financial services users can optimize trading, public transport networks could be reconfigured, cities could intelligently adapt to usage by their citizens, the gig economy could be restructured, and energy networks can be connected in a smart grid.
Use Cases
Technical Focus
  • Machine Learning

    Blockchain can be used to decentralize federated learning algorithms so that the benefits of these collective machine learning models are shared across the multiple owners of data.

  • Agents

    Simple development and deployment of autonomous agent populations that fulfill economic goals through strategy, communication, search and the exchange of value.

  • Cryptography

    Enhance the speed, efficiency and security of the blockchain using next generation multi-party computation (MPC) protocols for random beacons and aggregated signatures.

Partners

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