From the team

Notes from inside the stack.

Practical writing about private speech AI, reliable transcription systems, and turning sensitive conversations into useful workflows.

  1. Model Arena - Qwen3-ASR vs faster-whisper in real time

    the WER is not enough: Qwen wins on WER but loses this round regardless

  2. Qwen3-ASR joins nanosamur.ai realtime transcription

    Run Qwen, Faster-Whisper, or both as independent, labelled realtime tracks from the same audio stream.

  3. Why speech AI belongs inside your infrastructure

    A practical look at keeping recordings, transcripts, and speech workflows inside infrastructure your organisation controls.

  4. From live transcript to trusted final record

    Why realtime captions and accurate final transcripts are different products, and how a speech platform can provide both.

  5. Designing speaker-aware workflows

    How speaker-aware transcripts turn a stream of words into a conversation that people and software can reason about.