# How Aramark uses DeepL

**30 minutes**: “eliminated up to 30 minutes of manual translation from hour-long calls”

As published on [deepl.com](https://www.deepl.com/en/customer-stories/aramark-and-avendra-international), April 2026. Captured by usedby on 2026-10-07.

- Company: [Aramark](https://www.usedby.ai/companies/aramark.md)
- Tool: [DeepL](https://www.usedby.ai/tools/deepl.md)

## What the story says

The company uses DeepL Voice inside Microsoft Teams to give live translated captions in global meetings, replacing slower interpretation. Experts can speak Mandarin while colleagues follow along in English.

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

> The ability to communicate in real-time has eliminated up to 30 minutes of manual translation from hour-long calls, ensuring that subject-matter expertise is never sidelined by a language barrier.

- **~50%**: “By reclaiming ~50% of their collaboration time, Aramark has significantly accelerated its project lifecycles.”

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 30 minutes is printed word for word on the page, near the name of Aramark.
- Checked: the passage quoted above is copied word for word from the page, near the name of Aramark.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Aramark uses DeepL. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/aramark-and-avendra-international-deepl · How we check: https://www.usedby.ai/methodology