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How Pickle Robot uses Encord

60%

“Achieving reliable data pipelines for model training and evaluation 60% faster”

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

What happened

Pickle Robot uses Encord for data curation, annotation, and model evaluation to train the AI models behind its truck-unloading robots. It replaced outsourced labeling from other providers and integrated Encord with its Google Cloud Platform based data engine.

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

  • 30%“30% improvement in annotation accuracy”
  • 15%“15% Improvement in robotic grasping accuracy with better training data”

Since Pickle Robot partnered with Encord, Pickle Robot has seen a drastic improvement in the AI and ML engineers’ productivity, improved precision in task execution, and faster time-to-model improvement.

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

For our AI initiatives, rapid iteration is critical. Encord and our ML infrastructure allow us to prototype learning tasks efficiently. The composability of Encord enables us to merge diverse data sources, facilitating extensive experimentation. With a well-integrated SDK, it's a matter of a few lines of code to achieve seamless integration and functionality.

Matt Pearce, Applied ML, Pickle Robot, Pickle Robot. 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: 60%CheckedPrinted word for word on the page, near the name of Pickle Robot.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Pickle Robot.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Pickle Robot 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.

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