# How Nylas uses Assembly AI

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

As published on [assemblyai.com](https://www.assemblyai.com/customers/nylas). Captured by usedby on 2026-10-02.

- Company: [Nylas](https://www.usedby.ai/companies/nylas.md)
- Tool: [Assembly AI](https://www.usedby.ai/tools/assembly-ai.md)
- Industry: [DevTools & Infrastructure](https://www.usedby.ai/companies/industry/devtools-infrastructure.md)
- Teams: Product, Engineering

## What the story says

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.

> 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.

- **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”

> 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

## What usedby checked

We compared the story with its live page on 2026-10-03.

- Checked: the figure $300K+ is printed word for word on the page, near the name of Nylas.
- Checked: the passage quoted above is copied word for word from the page, near the name of Nylas.
- Checked: Nylas uses Assembly AI. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/nylas-assembly-ai · How we check: https://www.usedby.ai/methodology