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How Thoro.ai uses Encord

50%

“The team estimates they are at least 50% faster compared to earlier stages of the project”

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

What happened

Thoro builds an indoor autonomy stack for mobile robots used in logistics, manufacturing and floor cleaning. It uses Encord as a cloud-based pipeline to label and quality-review stereo image data (keypoints and tracking for pallets) and retrain models that are deployed back onto the robots.

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

  • approximately one week“Model deployment timelines have shrunk to approximately one week: collect data on Monday, deploy an updated model by Friday.”
  • 3,000“The team targets around 3,000 new images added within that window, a pace they are already achieving.”
  • three weeks“the team collected data, processed it through Encord, and deployed an updated model within three weeks.”

Model deployment timelines have shrunk to approximately one week: collect data on Monday, deploy an updated model by Friday. The team targets around 3,000 new images added within that window, a pace they are already achieving.

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

The support has been phenomenal. Questions answered in about 20 minutes. And integrating with AWS just worked the first time I tried it.

Chris Dunkers, Thoro.ai. 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 figure: 50%CheckedPrinted word for word on the page, near the name of Thoro.ai.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Thoro.ai.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Thoro.ai 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