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How Voxel uses Encord

As published on encord.com, April 2026. Captured by usedby on Oct 7, 2026.

What happened

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.

From the page. encord.com, captured Oct 7, 2026

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, Voxel. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Voxel.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Voxel uses EncordCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

20-30%“Since implementing Encord, UVeye has seen around a 20-30% improvement in their data annotation rate”UVeye uses Encord. Another customer of Encord60%“Achieving reliable data pipelines for model training and evaluation 60% faster”Pickle Robot uses Encord. Another customer of Encord10x“10x annotation speed improvement on tracking data”Hudl uses Encord. Another customer of Encord