# How Lark uses E2B

As published on [e2b.dev](https://e2b.dev/customers/lark-case-study), September 2026. Captured by usedby on 2026-10-10.

- Company: [Lark](https://www.usedby.ai/companies/lark.md)
- Tool: [E2B](https://www.usedby.ai/tools/e2b.md)
- Industry: [HealthTech & Digital Health](https://www.usedby.ai/companies/industry/healthtech-digital-health.md)

## What the story says

Lark, an AI test engineer product, runs each end-to-end test its agents generate in an isolated E2B sandbox created from a custom template. The sandboxes run browsers, APIs and scripts against customers' applications, including Docker containers, and are destroyed after each test.

Summary written by usedby from the source page, in English. The figures are those of E2B and Lark, not ours.

> Running Docker containers inside sandboxes limits the field to a handful of providers, and E2B's MicroVM isolation meant Lark didn't have to build and operate that isolation layer on its own, saving them at least several weeks of building out their own sandbox infrastructure.

> E2B has been a tried and true option. I would recommend them, especially against building anything yourself.
>
> Jack Brown, CEO, Lark

Source: [e2b.dev](https://e2b.dev/customers/lark-case-study), captured 2026-10-10.

## What usedby checked

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

- Checked: the passage quoted above is copied word for word from the page, near the name of Lark.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Lark uses E2B. Confirmed line. Latest check across sources: 2026-10-10.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/lark-e2b · How we check: https://www.usedby.ai/methodology