Fellow AI

Fellow AI is a meeting-focused productivity platform that combines collaborative agenda-building with an AI note-taker and an “Ask Fellow” copilot so teams can prepare for, participate in, and follow up on meetings more effectively. Designed for individuals, small teams, and enterprise organizations, it integrates with Google and Microsoft calendars, Zoom, Google Meet, Microsoft Teams, Slack, Salesforce, Jira, Notion and many other tools so meeting context flows naturally into existing workflows. During meetings the platform can auto-join calls, record audio and video, produce human-level transcripts in more than ninety languages, label speakers, timestamp key moments, generate concise summaries, and surface action items and decisions so participants can focus on the conversation instead of note-taking. After meetings, recaps, searchable transcripts, recordings, and task lists are saved in a central library and can be queried with natural language using Ask Fellow, which acts like an on-demand chief of staff that retrieves past decisions, extracts follow-ups, and drafts deliverables such as status updates or performance notes.

Privacy and enterprise security are central to Fellow’s positioning: the company states that customer meeting data is never used to train external models, and it supports features such as role-based access controls, redaction, encryption, data residency options, SOC 2 and GDPR compliance, and HIPAA-ready configurations for regulated environments. Administrators can define recording rules and provisioning, pool transcription and summarization credits at the workspace level for larger deployments, and connect Fellow to HRIS and single sign-on providers for streamlined org-wide adoption. The product is cross-platform with web, macOS, Windows, iOS and Android clients plus a Chrome extension, and pricing ranges from a free tier with limited AI notes and recordings to paid Team and Business plans and customizable Enterprise agreements that include advanced security, analytics and onboarding support. By automating tedious meeting logistics and turning conversations into structured, actionable knowledge, it aims to reduce wasted time, improve accountability, and make it easier for organizations to capture and act on the most important outcomes from every meeting. Teams report consistently faster follow-through, clearer responsibilities, and fewer redundant meetings when Fellow becomes the single source of truth for meeting outcomes.