# How Dexa uses Assembly AI

**2 days** time to implement

As published on [assemblyai.com](https://www.assemblyai.com/customers/dexa-customer-story). Captured by usedby on 2026-10-08.

- Company: [Dexa](https://www.usedby.ai/companies/dexa.md)
- Tool: [Assembly AI](https://www.usedby.ai/tools/assembly-ai.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)

## What the story says

Dexa uses AssemblyAI to transcribe podcasts at scale with speaker identification, and to detect chapters in episodes. This powers an interactive knowledge base where users ask questions and are taken to the relevant moment or chapter in a podcast.

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

> Since implementation, Dexa has processed millions of hours of podcast content without interruption. This consistent performance at scale demonstrates the API's reliability and Dexa's success in making podcast knowledge more accessible.

> Assembly has done a fantastic job with transcriptions at scale. It's accurate, fast, and reliable.
>
> Riley Tomasek, FOUNDER AND CEO

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 2 days is on the page; its label is our wording.
- Checked: the passage quoted above is copied word for word from the page, near the name of Dexa.
- Checked: Dexa 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/dexa-assembly-ai · How we check: https://www.usedby.ai/methodology