Fellow is an AI meeting management platform and notetaker that generates AI meeting summaries, transcribes calls in 99 languages, and extracts action items, aimed at teams that want meeting agendas, notes and follow-ups managed in one place rather than a bare transcription tool. It runs on a freemium model: the free plan includes 5 AI notes and 5 AI recordings per user for the life of the account, and the paid Team plan starts at $7 per user per month billed annually.
Who builds it
Fellow is developed by Fellow, the company behind fellow.ai. The product is positioned around meeting management broadly — agendas, notes and follow-ups — with AI notetaking as one part of a wider workflow rather than a standalone recording tool.
Core features
- AI meeting summaries and transcription in 99 languages, connected to Zoom, Google Meet and Microsoft Teams.
- AI-extracted action items that carry meeting outcomes into follow-up tasks.
- Deep CRM and workflow integrations, including Salesforce, HubSpot, Notion, Slack, Asana, Jira, ClickUp, Zapier and Trello.
- API access for building custom integrations on top of meeting data.
- Granular data-retention controls, including independently configurable retention schedules and zero-day deletion for recordings and transcripts.
Who it is for
Fellow fits teams that want meeting management — not just transcription — including agenda-setting and structured follow-up across a wide range of connected tools. The free plan's lifetime cap of 5 AI notes and 5 AI recordings per user is enough only for a light trial; teams with regular meetings will move to the $7/user/month Team plan fairly quickly for ongoing use.
Data and privacy
Fellow states it never trains its AI on customer data and positions privacy as a core differentiator, backed by SOC 2 Type II compliance (valid for 12 months per report) and GDPR compliance. Fellow also offers admin-configurable retention schedules for recordings and transcripts, including zero-day deletion — a concrete control for privacy-sensitive teams. Fellow does not publish a specific EU-hosting guarantee in the facts available here, so DACH teams with strict DSGVO data-residency requirements should still confirm hosting region and a data processing agreement directly with Fellow before rollout.
Bottom line
Fellow is best understood as a meeting-management platform with strong data-retention controls and no-training privacy commitments, most valuable to teams that want agendas, notes, action items and follow-ups working together across a wide integration set, rather than a narrow transcription-only tool.