Fellow is an AI meeting assistant that handles the part of meetings most teams lose time on: capturing what was said and turning it into something actionable. It records, transcribes and summarizes meetings on Zoom, Microsoft Teams and Google Meet, and can also capture in-person conversations, storing transcript, audio and video in one place with context-aware summaries that surface decisions rather than raw transcripts.
Where Fellow differentiates itself is governance. It is marketed first and foremost to regulated and security-conscious organizations — private equity, hedge funds, investment banks, fintechs, healthcare and legal teams — where meeting records fall under recordkeeping and supervision rules. Organizations can set policies on who may record, apply retention windows that can even be zero-day, redact sensitive content such as MNPI, and review every access and deletion event through a compliance portal. Individual users keep control to pause or resume capture when part of a conversation should stay off the record.
The product also reaches beyond a single meeting. Ask Fellow lets you query your meeting history conversationally, workflow automations handle pre-meeting prep and post-meeting follow-ups, and meeting intelligence can flow through MCP into ChatGPT, Claude and Copilot, or sync into CRMs and project tools. Fellow states that it never uses your meeting data to train AI models on any plan, including free.