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How Vercept uses Together AI

30%

“30% cost savings compared to hyperscaler alternatives”

As published on together.ai. Captured by usedby on Oct 3, 2026.

What happened

Vercept uses Together AI's inference platform to deploy and serve its custom computer vision model, VyUI, which powers Vy, a Mac app that controls a computer through natural language commands. Together AI provides auto-scaling and load-balanced inference and lets Vercept push model updates to production quickly.

Summary written by usedby from the source page, in English. The figures are those of Together AI and Vercept, not ours.

  • 92%“VyUI achieved 92% accuracy on ScreenSpot v1 (UI element identification) compared to OpenAI's 18.3%.”
  • 94.7%“Similar advantages appear across ScreenSpot v2 (94.7% vs 87.9%) and GroundUI Web (84.8% vs 82.3%).”
  • under 24 hours“The deployment solution enables Vercept to push model updates to production in under 24 hours--critical for the rapid experimentation cycles that drive their performance advantages.”

Together delivered 30% cost savings compared to hyperscaler alternatives while providing superior technical support and customization capabilities.

From the page. together.ai, captured Oct 3, 2026

Together has been very competitive on price and creative in their willingness to meet our term-length needs. Compared to hyper-scalers and other large cloud providers, there is no comparison on price--we easily save ~30% on costs for similar terms.

Luca Weihs, Co-founder, Vercept. Source, captured Oct 3, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 3, 2026.

  • The figure: 30%CheckedPrinted word for word on the page, near the name of Vercept.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Vercept.
  • Vercept uses Together AICheckedConfirmed line. Latest check across sources: Oct 3, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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