Fetch.AI combines machine learning (ML) and artificial intelligence (AI), multi-agent system, and decentralized ledger technology to build an economic Internet. Digital agents of economically active components such as data, hardware, services, people, and infrastructure can do their jobs efficiently with tangible guidance and forecasts. Fetch is committed to bringing autonomous systems to all markets. At present, the process of market autonomy requires a lot of human and material resources; while automating economic transactions can help the market to run efficiently and smoothly. According to Fetch's vision, everyone will have multiple economic agents on the Fetch.AI platform. Agents operating in parallel or in series to develop solutions to today's and tomorrow's complex problems will be more elegant and superior than human versions.
Fetch Token is a quantitative divisible token used by the Fetch.AI network as a digital currency required for any transaction or secure communication. In addition, nodes and agents need to mortgage certain tokens in exchange for specific operating qualifications (a security mechanism to prevent malicious behavior).

What is Fetch.ai

Fetch.ai is a decentralized digital world building the digital economy of the future by deploying machine learning, advanced encryption and autonomous agents to the blockchain.

We place a strong emphasis on building real-world solutions and are therefore at the forefront of blockchain and artificial intelligence technology. We are working on several key areas, including:
1. Using machine learning, economics, and advanced cryptography to share knowledge across data silos with potential applications in the finance, insurance, and healthcare industries.
2. Autonomous agents for optimizing complex systems with multiple stakeholders in sectors such as transportation, smart cities, energy, and supply chain.
3. Develop advanced blockchain technology to overcome security and scalability challenges of existing implementations.

Fetch.ai will leverage the latest advances in cloud, IoT, edge computing, and 5G networks to make complex task automation more accessible across a variety of consumer and business applications.

Technical focus

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

Agents
Simple development and deployment of autonomous agent populations to achieve economic goals through policy, communication, search, and value exchange.

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