Fetch.ai Launches 'Agent-First' Platform
AI x crypto project Fetch.ai has launched ASI:One, an AI platform where each user gets a personal agent to collaborate on tasks across the network. The team demoed an agent booking a reservation on OpenTable and paying with crypto, showcasing tangible progress toward autonomous on-chain agents.
The ASI:One platform is built on Fetch.ai's core technology of Autonomous Economic Agents (AEAs), which are AI-powered digital entities designed to automate transactions and decisions on behalf of users. These agents operate within a decentralized system called the Open Economic Framework (OEF), allowing them to interact and negotiate with each other to complete complex tasks. The goal is to create a self-operating digital economy across various sectors, including DeFi, supply chain management, and smart cities. Fetch.ai's CEO, Humayun Sheikh, was a founding investor in the pioneering AI company DeepMind, which was later acquired by Google. His experience in AI and commodities trading shaped Fetch.ai's focus on creating commercially viable, decentralized AI solutions for real-world economic problems. The Fetch.ai mainnet went live in 2020 after an Initial Exchange Offering (IEO) on Binance in 2019. The launch of ASI:One is a key step for the Artificial Superintelligence (ASI) Alliance, a major initiative formed by the merger of Fetch.ai, SingularityNET, and Ocean Protocol. This alliance aims to create a decentralized alternative to the AI development controlled by big tech companies. The native tokens of the three platforms—FET, AGIX, and OCEAN—are slated to merge into a single $ASI token. Unlike general-purpose Large Language Models (LLMs), ASI:One is specifically designed as a Web3-native model for "agentic AI." This means it's optimized to reason, plan, and execute multi-step tasks autonomously within a decentralized environment. The platform offers multiple model variants, including standard, extended, and fast versions, to cater to different developer needs. The ASI Alliance's roadmap focuses on four key areas: Ecosystem, Deployment (Applications), AI models/systems, and Infrastructure. Future plans include the development of Vision-Language-Action (VLA) models for robotics and biochemistry, and the introduction of a developer launchpad called ASI: Create. The ultimate goal is to build a full-stack, user-owned infrastructure for the development and deployment of Artificial General Intelligence (AGI). For businesses, Fetch is creating a verification portal, likened to ICANN for domain names, where companies can claim and verify their official agents. This ensures that when a user's personal agent interacts with a brand like an airline or hotel, it is communicating with the authentic, company-approved representative, solving a critical trust issue for AI agents completing real-world transactions.
