Problem

MultiOn addresses the friction of making the web do things on a user’s behalf. Instead of manually searching, navigating multiple sites, filling forms, and completing repetitive workflows, a person can delegate a high-level objective to an agent. The economic pain is primarily time, attention, and repeated human labor; the clearest use cases are travel booking, shopping and order placement, reservations, food delivery, and other multi-step online errands.

The strongest consumer use case is turning an intent such as arranging a trip or buying something into a completed transaction rather than merely receiving search results or recommendations. By handling the workflow from start to finish, MultiOn aims to make online activity more convenient for individuals and reduce the cost of repetitive web work for organizations.

Product / Service

MultiOn’s core product is a natural-language web-agent platform. Its documentation describes the service as a “Motor Cortex layer for AI”: users or developers provide an instruction, and autonomous agents navigate web environments and take actions to complete the task. The delivery model includes an Agent API and a playground for trying the capability, allowing developers to embed agents in their own applications rather than using MultiOn only as a standalone assistant.

The platform combines secure remote browser sessions, proxy support for difficult bot-protection environments, a Chrome extension for local interaction, structured full-page data extraction, and parallel agents for scale. The multion.ai domain now presents the company as AGI, Inc., with AGI-0 as a personalized, proactive AI co-worker that operates on smartphones and is available in early access; this extends the original web-agent concept toward private, on-device mobile assistance for tasks such as travel, messaging, ordering, shopping, and delivery.

Market

MultiOn competes in the autonomous web-agent and browser-automation market, where systems accept high-level goals and independently plan and execute actions across websites. Comparable products and approaches include Browser-Use, Skyvern, and Agent-E, while MultiOn’s newer AGI-0 direction also places it alongside broader mobile and personal AI-agent products. The category is moving from chat-based assistance toward agents that can actually complete transactions and workflows.

The company appears venture-backed and still in an early commercial phase rather than at demonstrated revenue scale. A 2024 report says MultiOn raised $20 million, with General Catalyst as lead investor alongside the Amazon Alexa Fund, Samsung Next, Maven Ventures, and individual OpenAI investors. By 2026, AGI, Inc. was promoting an early-preview mobile app and reporting prototype mobile-agent work, but the available evidence does not disclose revenue, customer counts, or user metrics; the best-supported characterization is funded early access, not proven product-market scale or definitively confirmed pre-revenue status.