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

What happened

Weave Robotics builds home robots and uses Encord to annotate and curate the training data for its robot models. It uses the platform's analytics to monitor annotation quality and to refine the annotation task definition over time.

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

Weave's first autonomous rollouts were underpinned by data annotated with Encord. The robots don't run with remote supervision; they operate independently across homes and commercial laundry environments.

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

Getting richly annotated data has been essential for model performance. Systematizing the annotation process itself then becomes extremely valuable. And Encord delivers on that.

Evan Wineland, Co-Founder, Weave Robotics. 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 Weave Robotics.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Weave Robotics 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