In the past few months, Fireflies, Wispr Flow, and Granola have all released competing features in the dictation and meeting note-taking space. The latest entrant into the space is voice AI giant ElevenLabs, which this week released ElevenAI, an experimental app that combines meeting note-taking, dictation, and agent integration.
Announced during the Nov. 11 summit in New York, Eleven AI is still in preview and requires you to sign up for early access in addition to downloading the app. Eleven Labs, valued at $22 billion, positions it as a product for teams rather than an individual productivity tool.
Eleven AI is packed with all the features you usually find in other apps in this category. You can create meeting notes throughout the meeting to notify other participants that the conversation is being recorded. Users can query data throughout the meeting and receive live assistance during chats to recall important details from old conversations. Eleven Labs also allows businesses to integrate Eleven Agent and take follow-up actions, such as drafting emails based on meeting notes.
Additionally, it has a dictation feature and can convert audio to cleaned text in an app that supports over 90 languages. The company says the app can understand industry-specific terminology through dictation and transcription of meetings.
Eleven AI also allows the company to showcase its own models and leverage the agent platform to improve contextual funneling. The startup’s positioning may not be to directly compete in the productivity market, but rather to give corporate teams the option of not purchasing a license to Notetaker and instead use its solution. All meeting-related tools are on the verge of becoming the central knowledge hub for enterprises, aiming to automate knowledge extraction and follow-up actions.
Last week, the company also announced the v3 series of Scribe speech-to-text models with live transcription capabilities and the ability for businesses to fine-tune models using their own data, tools to choose the right language model based on use case, and a Routine creator to automate tasks based on transcription.
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