How Standard AI uses Encord
$600k
“Saved $600k a year”
As published on encord.com, January 2026. Checked by usedby on Oct 19, 2026.
What happened
Standard AI uses Encord as a unified platform to ingest, curate, and label millions of retail store video files for its computer vision models. The ML and product teams use its native video support, API/SDK, and AI-assisted labeling with human-in-the-loop review in place of outsourced labelers and fragmented tools.
Summary written by usedby from the source page, in English. The figures are those of Encord and Standard AI, not ours.
- 99.4%“99.4% faster project initiation”
- 5x“Process millions of video files 5x faster with Encord’s native video platform”
Since moving to Encord, Standard AI has seen a drastic improvement in productivity across its product and ML teams, significant cost savings, improved data quality, and faster time-to-model improvement.
With Encord, we went from spending multiple weeks labeling large volumes of retail video, having to download all the data, process it, and curate the data, to our present state, where the Product and the ML team iterates in days visually, collaboratively, and seamlessly.
What the story claims, and what we checked
What we compared with the page.
- The figure: $600kCheckedPrinted word for word on the page, near the name of Standard AI.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Standard AI.
- The publication dateCheckedRead from the page’s own metadata, never guessed.
- Standard AI uses EncordCheckedConfirmed line.
- The result itselfNot checkedWe quote it; we did not measure it.
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