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50%

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

Tal como se publicó en encord.com, abril de 2026. Capturado por usedby el 7 oct 2026.

Qué pasó

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.

Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Encord y de Thoro.ai, no nuestras.

  • 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.

De la página. encord.com, capturada el 7 oct 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. Fuente, capturada el 7 oct 2026

Lo que dice la historia, y lo que verificamos

Comparamos la historia con su página en línea el 7 oct 2026.

  • La cifra: 50%VerificadoImpresa palabra por palabra en la página, cerca del nombre de Thoro.ai.
  • El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Thoro.ai.
  • La fecha de publicaciónVerificadoLeída en los metadatos de la propia página, nunca adivinada.
  • Thoro.ai usa EncordVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 7 oct 2026.
  • El resultado en síNo verificadoLo citamos; no lo medimos.

Misma empresa, misma herramienta o mismo sector.

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