Bot-Based Cross-Platform Meeting Capture
Recall.ai
This is what makes Recall.ai infrastructure rather than a single app integration. Instead of depending on the meeting organizer to install software, upgrade to a paid tier, or use a supported platform, Recall joins the call itself as a participant and captures the meeting from inside the room. That lets a customer build note taking, coaching, compliance, or agent products that work across Zoom, Meet, Teams, Webex, GoTo Meeting, and even Slack Huddles, through one API surface.
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The practical advantage is distribution. A sales tool, recruiter tool, or user research product can record a customer call even when the other side owns the calendar invite and hosts the meeting. The product does not need admin control over the host account, it just needs permission to send a bot into the meeting link.
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The no official API piece matters because many platforms expose only fragments of meeting data. Slack, for example, exposes basic huddle events through official APIs but not the actual audio, transcript, or full recording. Recall gets around that by using a bot participant, which is similar in spirit to how Plaid used screen scraping to access bank data where banks did not offer good APIs.
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This approach is strong but compute heavy. Recall rents out the hard part, running large numbers of cloud bots that join calls, capture audio, video, and metadata, and return files within seconds. That has supported fast growth from about $8M ARR in 2024 to an estimated $31M ARR by January 2026, while also pushing the company to expand into desktop capture as bot free products like Granola gained traction.
The next step is a broader recording layer for every conversation surface. Recall is already extending from passive bots into desktop and mobile capture, and into Output Media so software can speak back inside the meeting. That moves it from recorder infrastructure toward the transport layer for AI agents that need to enter live conversations, observe them, and act inside them.