Fellow is an AI meeting assistant that records, transcribes and summarizes meetings. It works with Zoom, Google Meet, Microsoft Teams and in-person conversations, and it can capture audio without a bot joining the call. Meeting summaries and action items are generated automatically, and users can ask questions of their meeting history through Ask Fellow.
The product is built for organisations that need control over how meeting data is handled. Admins can set rules for who can record, apply retention policies by team or meeting type, and review access through audit logs. Retention can be set to zero days for recordings and transcripts, with the summary and action items kept. Users can pause or resume recording when part of a conversation should stay off the record.
The page says Fellow is SOC 2 Type II compliant, GDPR compliant and HIPAA compliant, with business associate agreements available. It states that Fellow does not use meeting data to train its own AI models or those of its AI providers. Enterprise plans include single sign-on, user provisioning, role-based permissions and a compliance portal. The site also describes MNPI redaction and an audit trail for teams in finance and other regulated sectors.
Meeting context can be sent to AI tools such as ChatGPT and Claude through MCP, and synced to CRMs such as Salesforce and HubSpot. Project tools including Asana, Jira and Linear can receive action items.
Pricing starts with a free plan that allows 5 AI notes and 5 AI recordings per user over its lifetime. The Team plan costs $7 per user per month billed annually, or $11 billed monthly. The Business plan costs $15 per user per month billed annually, or $23 billed monthly. Enterprise costs $25 per user per month billed annually and requires contacting sales, with a minimum of 10 users.
