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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Limitless AI
Limitless AI

Limitless AI

Founded by Dan Siroker in 2020

Record spoken conversations and recall personal discussions using wearable hardware and audio transcription

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Limitless to capture, transcribe, and remember spoken conversations throughout your daily life. Designed alongside wearable hardware, the application stores your meetings and verbal exchanges so you can search and review past discussions whenever needed. It generates transcripts and summaries of in-person interactions, making it easier to keep track of agreements, notes, and ideas without typing. While the hardware pendant is no longer sold following its acquisition by Meta, continuing users can review previous meeting records and export their personal conversation history at any time.

What Limitless AI does

Record audio from in-person meetingsSearch transcripts of past conversationsExport stored meeting transcripts to local filesReview automated summaries of spoken exchangesManage and delete stored account dataAccess archive recordings from desktop applicationsCaptures spoken conversations in real time using wearable hardwareTranscribes recorded discussions into searchable textGenerates summaries and key action items from meetingsStores past verbal exchanges in a searchable personal databaseProvides data export options for full conversation recordsAllows complete account deletion and user data managementSupports desktop and mobile access to stored recordings

Pricing breakdown

Pricing model: Free Trial, Paid

Tutorials & Demos

Frequently asked

Microsoft OutlookMicrosoft OutlookSlackSlackZoomZoomGoogle WorkspaceGoogle Workspace

Used by

Ghita EL Haitmy

Ghita EL Haitmy

CTO / VP of Engineering @ ELI

In their stack
Connect
Mir Abbas Hussain

Mir Abbas Hussain

Other @ None as of Yet

In their stack

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Limitless, AI assistant, wearable audio recorder, meeting notes, transcription, Pendant, Dan Siroker, personal memory, conversation capture, audio summaries, speech to text, voice notes, digital memory, recall conversations, meeting transcription