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$300K+

“Avoided approximately $300K+ in engineering investment and ongoing model training costs”

As published on assemblyai.com. Captured by usedby on Oct 2, 2026.

What happened

Nylas uses AssemblyAI to transcribe meeting recordings, with speaker labels and automatic language detection, for its Notetaker product. Developers add Notetaker to meetings through the Nylas API and receive transcripts via webhooks or API calls.

Summary written by usedby from the source page, in English. The figures are those of Assembly AI and Nylas, not ours.

  • 20x“The infrastructure handled 20x usage growth over three months with no degradation in performance or service incidents.”
  • under 2 minutes“Transcripts consistently delivered in under 2 minutes compared to 20-30 minutes with alternatives”
  • 100%“Over 100% ROI in the first quarter”

Nylas built their MVP in less than a day with a single developer. This was a stark contrast to the 6-month, multi-engineer build they had initially considered.

From the page. assemblyai.com, captured Oct 2, 2026

We scaled 20x in three months with zero transcription-related incidents. AssemblyAI freed up our team to focus on what makes Nylas unique, while giving customers the highest quality transcription from day one.

Nick Barraclough, Product Manager, Nylas. Source, captured Oct 2, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 3, 2026.

  • The figure: $300K+CheckedPrinted word for word on the page, near the name of Nylas.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Nylas.
  • Nylas uses Assembly AICheckedConfirmed line. Latest check across sources: Oct 2, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

50%of production time savedMiro uses Runway. Same industry: DevTools & Infrastructure$7.23M“Those 124 meetings have generated $7.23M in pipeline”Stream uses Amplemarket. Same industry: DevTools & Infrastructure34%“ticket resolution time improved up to 34%”Notion uses Decagon. Same industry: DevTools & Infrastructure