# How Voxel uses Encord

As published on [encord.com](https://encord.com/customers/voxel-case-study/), April 2026. Captured by usedby on 2026-10-07.

- Company: [Voxel](https://www.usedby.ai/companies/voxel.md)
- Tool: [Encord](https://www.usedby.ai/tools/encord.md)

## What the story says

Voxel, a workplace safety company, moved its video-based computer vision and machine learning pipeline from open-source labeling tools to Encord. It uses the platform for video annotation, image classification and data management to detect safety and ergonomic issues at worksites.

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

> One of the key requirements for Voxel was the ability to integrate their existing data pipelines into a new solution, which Encord was able to provide seamlessly. This enabled their team to continue to focus on their end solution without being preoccupied with the handover.

> We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
>
> Anurag Kanungo, co-founder and CTO

## What usedby checked

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

- Checked: the passage quoted above is copied word for word from the page, near the name of Voxel.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Voxel uses Encord. 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/voxel-encord · How we check: https://www.usedby.ai/methodology