Recall.ai at $31M/year growing 211% YoY

Jan-Erik Asplund
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TL;DR: After bot-free AI notetakers like Granola went viral capturing system audio at the OS level—threatening to pull developers away from meeting bots entirely—Recall.ai has expanded from meeting-bot infrastructure into a meeting recording developer platform that covers every app, every device, and both sides of the conversation. Sacra estimates Recall.ai hit $31M ARR in January 2026, up 211% YoY. For more, check out our full report and dataset on Recall.ai.

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We first mentioned Recall.ai in our November 2023 Gongification of SaaS email as part of the developer middleware stack enabling every B2B SaaS app to ingest meeting video, then covered the company in depth in April 2025 at $10M ARR as the "Plaid for meeting bots."

Key points from our February 2026 update via Sacra AI:

  • On the back of its initial product-market fit as a universal API to build meeting bots in every app across Zoom, Google Meet, Microsoft Teams and more, Sacra estimates Recall.ai hit $31M ARR in January 2026, up 211% YoY, closing a $38M Series B (Bessemer Venture Partners) in September 2025 at a $250M valuation for a ~12.8x multiple on their September ARR.
  • As bot-free AI notetakers like Granola went viral capturing system audio at the OS level—threatening to make meeting bots obsolete entirely—Recall.ai responded by launching its Desktop Recording SDK (June 2025) to make it easy for any developer to capture system audio & build Granola-esque experiences, and announcing a Mobile Recording SDK to do the same on your phone, repositioning from meeting-bot infrastructure into a meeting recording developer platform that captures conversations regardless of where they happen, across every meeting app and every device.
  • Recall.ai's Output Media API (June 2025) flips the bot from silent recorder to active participant by letting developers stream AI-generated voice and video into live Zoom, Meet, Teams, and Webex calls so an AI agent can join a meeting, speak to attendees, coach a sales rep in real time, or run a demo autonomously, with the potential for the increase in AI agents to create resurgent demand for their core meeting bot API not as a passive recorder but as the way AI agents get into calls and engage with humans in two-way conversation.

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