In recent months, competitors like Fireflies, Wispr Flow, and Granola have introduced capabilities for dictation and meeting note-taking. ElevenLabs, a dominant player in the voice AI sector, has entered this space with a new experimental application called ElevenAI. This tool merges meeting note-taking, dictation, and agent integration into a single platform.
Unveiled during the 11/11 Summit in New York, ElevenAI is currently in a preview phase and requires users to register for early access rather than downloading the app directly. ElevenLabs, which has a valuation of $22 billion, is specifically positioning this offering as a collaborative team tool rather than just an individual productivity application.
The application includes standard features found in similar apps, such as generating meeting notes across various sessions and notifying participants that conversations are being recorded. Users can also query historical meeting data for live assistance during chats, helping them retrieve key details from past discussions. Furthermore, ElevenLabs enables companies to utilize the ElevenAgent for follow-up actions, such as drafting emails based on meeting transcripts.
Additionally, the software offers a dictation function that converts speech into clean text within any supported application, supporting over 90 languages. The company claims the app can accurately interpret industry-specific terminology during both dictation and transcription processes.
ElevenAI allows organizations to showcase their own models and utilize agent platforms for improved context management. While the startup does not aim to directly compete in the general productivity market, it provides enterprise teams with an alternative to purchasing licenses for dedicated notetakers. Many tools in this sector are striving to become central knowledge hubs that automate knowledge extraction and execution of follow-up tasks.
Over the past week, the company also introduced its v3 series of Scribe speech-to-text models. These models offer live transcription capabilities and allow businesses to fine-tune models using proprietary data. Other features include a tool for selecting the optimal language model based on specific use cases and a routine creator that automates tasks derived from transcripts.
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