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Blog post from SageOx

Post Details
Company
Date Published
Author
Ajit Banerjee
Word Count
1,589
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

SageOx argues that rapid AI-assisted work has made organizational memory and real-time context the main bottlenecks, leading it to build AI coworkers that can surface relevant information during conversations rather than from transcripts processed later. Its system uses Media over QUIC (MoQ) to separate audio capture, storage, transcription, voice identification, and future AI tools, allowing multiple services to subscribe to the same live audio stream without disruptive migrations. The company designed its pipeline to prevent early audio loss, support independent real-time transcription and durable archiving, and work across varying client devices and network transports. After testing AWS Transcribe, ElevenLabs, Deepgram, and Zoom Scribe on live internal conversations, SageOx chose Zoom Scribe for its comparatively lower word error rate and more consistent performance, while retaining voiceprint technology for speaker attribution. The account emphasizes continual testing in real workflows, direct collaboration with tool builders, and Seattle’s concentration of cloud and AI infrastructure expertise as important elements of the company’s approach.

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Real-time 1 649 155 80 -85%
Vector Search 1 265 57 33 -89%
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