River

Knowledge workers use computers that still assume one person doing one thing at a time, with AI treated as a separate chat window bolted on the side rather than something that shares the same apps, files and browser. People doing tasks like planning events, building launch decks, writing a budget sheet, researching a market, or answering a backlog of customer emails have to manually move context between tools and an AI assistant, then copy results back in. This costs time and breaks the flow of work, since the AI cannot directly see the sheet, slide deck, inbox or webpage a person is already working in, and cannot act inside those apps on its own.

River is positioned as a computer you share with AI, with built in versions of common apps (Docs, Sheets, Slides, Email, Calendar, Tasks, a real browser, and more), plus connections to outside tools like Gmail, Slack, Notion and Spotify. Inside River, a user can type or say a plain language request, such as planning a team offsite, drafting a project brief, or replying to unanswered emails, and River carries it out across multiple apps, for example searching the web for a venue, filling in a budget spreadsheet, or writing email drafts for review. It asks for confirmation before anything is booked, bought or sent, keeps memory of project details and preferences across sessions, can run scheduled or handed off tasks and report back when finished, and supports multiple teammates working on the same files at once with River available to each of them. The company states it does not train on user work.