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Fathom adds a bot-less meeting mode in a bid to take on Granola

Ivan Mehta
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⚡ Quantum Brief
Fathom launched a bot-less meeting transcription mode to reduce virtual meeting overcrowding caused by AI note-taking assistants, eliminating the need for its bot to join calls while still capturing audio and video. The update competes with tools like Granola and Notion by improving speaker diarization—accurately attributing quotes to participants—to prevent misattribution in meeting summaries, a common issue with existing bot-less solutions. Recent AI advancements enabled Fathom’s new features, including video recording and customizable transcription modes, enhancing context retention for users querying past meetings via AI-driven database searches. A new Model Context Protocol (MCP) server lets businesses integrate meeting data into third-party AI tools, addressing Granola’s recent workflow disruptions after its database changes broke user integrations. Fathom plans to expand with an iOS app for in-person meeting recordings, broadening its use beyond virtual calls while prioritizing transcription accuracy and user control over meeting data.
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Online meetings these days are crowded. The abundance of note-taking assistants means that everyone has their own meeting assistant join calls to transcribe and summarize the conversation, which results in overcrowded meeting rooms. Fathom, a startup that makes an AI note-taking tool, is trying to address that overcrowding issue with an update that enables its app to transcribe all calls you attend without requiring an AI assistant to join them. Now, this isn’t anything new. We already have several desktop apps like like Granola, Talat, Notion and ChatGPT that can transcribe calls. Fathom says it is trying to improve on those tools by enabling its app to record videos, too, and its users can choose between various recording modes for transcribing calls. The company said it focused on getting speaker diarization right to make it easier for users to recall context. “A lot of these bot-less tools don’t indicate who said what in their captured transcript,” Fathom’s CEO Richard White told TechCrunch over a call. As an example, he said many people face problems with misattribution when they ask their meeting note-taker a question about what they might have said in a particular meeting a few months ago. Image Credits:FathomImage Credits:Fathom White said Fathom has always wanted to release a bot-less client for transcribing meetings, and this update was enabled by AI improvements in the last six months across various models. Other updates include the ability to use AI to query the meeting database, making it more useful for businesses which can feed it broader context. The company is also releasing a Model Context Protocol (MCP) server so users can pull meeting data and plug it into their AI tools. Techcrunch event Meet your next investor or portfolio startup at Disrupt Your next round. Your next hire. Your next breakout opportunity. Find it at TechCrunch Disrupt 2026, where 10,000+ founders, investors, and tech leaders gather for three days of 250+ tactical sessions, powerful introductions, and market-defining innovation. Register now to save up to $410. Meet your next investor or portfolio startup at Disrupt Your next round. Your next hire. Your next breakout opportunity. Find it at TechCrunch Disrupt 2026, where 10,000+ founders, investors, and tech leaders gather for three days of 250+ tactical sessions, powerful introductions, and market-defining innovation. Register now to save up to $410. San Francisco, CA | October 13-15, 2026 REGISTER NOW This last point recently sparked user complaints for Granola after it made changes to its on-device database and broke AI workflows that used transcript data from that source. White said Fathom is working to make its transcription data more accurate, and give users more ways to capture meetings. The company also plans to release an iOS app that can record in-person meetings. Topics AI assistant, Apps, fathom, Meeting notetakers Ivan Mehta Ivan covers global consumer tech developments at TechCrunch. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. You can contact or verify outreach from Ivan by emailing im@ivanmehta.com or via encrypted message at ivan.42 on Signal.

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