Fellow vs Metaview

Fellow is a secure AI meeting assistant designed to record, transcribe, and summarize meetings across platforms like Zoom, Microsoft Teams, and Google Meet. It prioritizes privacy, ensuring meeting data is accessible only to authorized users with granular controls and compliance with SOC 2, HIPAA, and GDPR standards. The platform supports pre-meeting preparation with collaborative agendas and AI-generated briefs, helping teams stay focused and productive. Post-meeting, Fellow automates follow-ups, action items, and CRM updates, integrating with over 50 tools including Salesforce, HubSpot, Jira, and Slack. It offers botless recording options for added privacy and supports regulated industries such as finance and healthcare with features like transcript redaction and audit trails. Fellow serves diverse teams from sales and marketing to engineering and operations, centralizing meeting knowledge and streamlining workflows.

Metaview joins recruiting calls, captures interview notes, and runs AI agents that source candidates, review inbound applications, and generate hiring reports. The meeting assistant records conversations, structures feedback when a call ends, and shares context across recruiters and hiring managers on one platform. Customers such as Deliveroo and Automattic cite faster feedback loops and dozens of hours saved per month.

Generic meeting recorders produce transcripts recruiters still have to rewrite into scorecards. Metaview is built for hiring workflows: application review agents rank inbound candidates against your brief, sourcing agents run concurrent searches with outreach in your tone, and reporting surfaces trends like salary expectations or skill gaps. Enterprise controls include audit trails of AI reasoning and rules for what agents may do autonomously.

Metaview fits in-house recruiting teams, agencies, and hiring managers who run many screens per week. The Free plan includes 100 sourced profiles to try AI sourcing, Pro costs $100 per user per month for 200 monthly profiles, and Max at $300 per user per month removes sourcing caps for high-volume teams.