It brings together content from web pages, local files, emails, meetings, and research materials, then organizes and indexes it into a searchable knowledge base. Users can ask questions in natural language and receive context-aware answers with traceable sources, as well as summaries and help turning research into useful work.

The platform supports meeting recording and transcription, cross-meeting search, document analysis, deep research, spreadsheet tasks, and the creation or updating of editable PowerPoint presentations. It works with more than 30 file formats, offers connections to tools such as Feishu, DingTalk, WeCom, and GitHub, and provides access to multiple AI models and task-specific apps. remio emphasizes local-first data handling: core indexing, search, recording, and transcription capabilities remain on the user’s device, while users can choose cloud, local, or personal API-key models. Desktop apps are available for Windows 10 and later and Apple silicon Macs, with a companion mobile app.