Wispr Flow, the dictation app that's been busy turning your garbled speech into coherent text, is apparently gearing up to join the crowded meeting notetaker market. The tell? An update to its Terms of Service that reads like a legal love letter to meeting data.
The company has informed its users via email about changes to both its terms and privacy policy, presumably to make room for the new features. The updated terms now include sections dedicated to the use of meeting data and the notetaker itself. According to the fine print, the notetaker will generate transcripts, summaries, actions, and insights, with input including meeting audio, participant information, metadata, speaker labels, and transcripts. Output, on the other hand, will feature AI-generated transcripts, summaries, action items, insights, speaker attribution, and other meeting-related content - because apparently, we needed more AI-generated meeting content.
With this move, Wispr Flow will be rubbing shoulders with the likes of Granola, Fireflies, Read AI, Otter, and Fathom, all of whom have already staked their claims in the meeting-notetaker gold rush. Co-founder Tanay Kothari has previously hinted at building an AI assistant, and this notetaker could give the company more context about its users, allowing it to automate tasks beyond just cleaning up your verbal diarrhea.
What remains unclear is whether Wispr Flow plans to go the Granola route (transcribing via system audio without keeping a recording) or build a full-fledged recording tool. Because, you know, the world needs more meeting recordings.
Despite the ambiguity, the company's financials are anything but vague. Wispr Flow has raised over $81 million to date, with a valuation of $700 million at its last round. Bloomberg reported in May that the company was in talks for a new round that could value it at a cool $2 billion. That's a lot of money for a dictation app, but hey, meetings are serious business.
Wispr Flow didn't respond to our request for comment, probably too busy transcribing something.
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