Komos takes a fundamentally different approach to automation compared to traditional RPA tools like Zapier or Make. Instead of requiring users to map API endpoints and configure integrations, Komos lets you simply record yourself doing the task and narrate what you're doing. The AI interprets the visual and voice cues to generate a workflow — a method that works even with legacy enterprise systems that lack modern APIs. The self-healing capability is Komos's standout feature. Traditional browser automations break when a website changes a button label or page layout, but Komos uses computer vision to understand intent rather than relying on brittle selectors. The built-in AI engineer Moss monitors running workflows and automatically diagnoses and fixes breakages, reducing the maintenance burden that plagues conventional RPA solutions. Komos is best suited for operations teams in mid-market and enterprise environments that deal with high volumes of repetitive browser-based work — invoice processing, compliance filing, data extraction from legacy portals. The $30/month starting price is competitive for the enterprise automation space, though teams with simple API-to-API integration needs may find lighter tools more cost-effective.
Komos is an AI-powered browser automation platform that transforms screen recordings and narrated demonstrations into self-healing workflows. Users record themselves performing a task in the browser while narrating their actions, and Komos's AI watches the screen and voice to generate clean, editable automation workflows. The platform uses computer vision rather than brittle CSS selectors, enabling automation of any website — including legacy systems without APIs. Its built-in AI engineer, Moss, can build, test, monitor, and auto-fix workflows when interfaces change.