The use case: how Ambi Robotics deploys Encord
Ambi Robotics uses Encord to annotate images collected from its deployed sorting robots, including parcel objects and label text, and turn them into training data. Required-field validation, multi-stage review workflows, analytics and an SDK integrated into its automated pipelines support the process.
In the customer’s words
Encord's workflow system lets us enforce more rigorous review, so annotations don't slip through with errors. The validation rules are especially useful. We can make fields required so an annotator cannot submit a task with a missing label.Encord users in Artificial Intelligence
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UVeyeConfirmedGo straight to the source
Based on Encord’s published case study. We check the public evidence; the results are reported by the vendor.
encord.com- Source published
- Oct 19, 2026
- Last checked
- Oct 30, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 99.9%Checked
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- The passage quoted aboveChecked
Copied word for word from the page, near the name of Ambi Robotics.
- The publication dateChecked
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- Ambi Robotics uses EncordChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
The improvements in annotation consistency and completeness have fed directly into Ambi's model quality. allowing them to push toward new performance benchmarks and expand the capabilities of their robotic systems.