About Fetch.AI

Fetch.AI provides a decentralized network that enables digital agents to autonomously communicate and transact using a universal protocol. This platform allows developers to create, deploy, and manage multi-agent AI systems, enhancing efficiency in digital interactions and reducing the complexity of agent orchestration.

<problem> Developing and deploying multi-agent AI systems can be complex, requiring developers to manage agent communication, discovery, and orchestration across diverse AI frameworks and infrastructures. Existing solutions often lack a unified platform for building, deploying, and managing these systems, hindering efficiency and scalability. </problem> <solution> Fetch.ai provides a decentralized platform that simplifies the development, deployment, and management of multi-agent AI systems. The platform offers a universal agent library (uAgents) that enables developers to add communication capabilities to AI agents developed using frameworks like Langchain, CrewAI, and Autogen. It also provides Agentverse, a platform for deploying and hosting AI agents, making them discoverable through semantic descriptors. The AI Engine facilitates autonomous orchestration of AI agents, dynamically selecting, assembling, and executing agents to fulfill user objectives via an API. </solution> <features> - Universal Agents library (uAgents) for adding communication capabilities to AI agents - Agentverse platform for deploying and hosting AI agents, with cloud hosting and mailbox features for offline agents - Semantic descriptors for making AI agent functions discoverable in the marketplace - AI Engine for autonomously orchestrating AI agents using LLMs and AI/ML techniques - Dynamic selection, assembly, and execution of AI agents from end-user apps connected via API - Universal protocol adaptability between AI Agents, eliminating the need for manual protocol adaptation - ASI Wallet for managing digital assets within the Fetch.ai ecosystem - Network Hub for monitoring and managing the autonomous economy </features> <target_audience> The primary target audience includes AI developers, Web3 developers, and enterprises looking to build, deploy, and manage multi-agent AI systems for various applications, including decentralized applications (dApps) and autonomous economic agents. </target_audience>

What does Fetch.AI do?

Where is Fetch.AI located?

Fetch.AI is based in Cambridge, United Kingdom.

When was Fetch.AI founded?

Fetch.AI was founded in 2017.

Location

Cambridge, United Kingdom

Founded

2017

Employees

108 employees

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Fetch.AI

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Executive Summary

fetch.ai 10K+

Crunchbase

Founded 2017 – Cambridge, United Kingdom

Funding

No funding information available.

Team (100+)

No team information available.

Company Description

Problem

Developing and deploying multi-agent AI systems can be complex, requiring developers to manage agent communication, discovery, and orchestration across diverse AI frameworks and infrastructures. Existing solutions often lack a unified platform for building, deploying, and managing these systems, hindering efficiency and scalability.

Solution

Fetch.ai provides a decentralized platform that simplifies the development, deployment, and management of multi-agent AI systems. The platform offers a universal agent library (uAgents) that enables developers to add communication capabilities to AI agents developed using frameworks like Langchain, CrewAI, and Autogen. It also provides Agentverse, a platform for deploying and hosting AI agents, making them discoverable through semantic descriptors. The AI Engine facilitates autonomous orchestration of AI agents, dynamically selecting, assembling, and executing agents to fulfill user objectives via an API.

Features

Universal Agents library (uAgents) for adding communication capabilities to AI agents

Agentverse platform for deploying and hosting AI agents, with cloud hosting and mailbox features for offline agents

Semantic descriptors for making AI agent functions discoverable in the marketplace

AI Engine for autonomously orchestrating AI agents using LLMs and AI/ML techniques

Dynamic selection, assembly, and execution of AI agents from end-user apps connected via API

Universal protocol adaptability between AI Agents, eliminating the need for manual protocol adaptation

ASI Wallet for managing digital assets within the Fetch.ai ecosystem

Network Hub for monitoring and managing the autonomous economy

Target Audience

The primary target audience includes AI developers, Web3 developers, and enterprises looking to build, deploy, and manage multi-agent AI systems for various applications, including decentralized applications (dApps) and autonomous economic agents.