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How Varos uses StackAI

800+ hours

“800+ hours saved by eliminating repetitive manual research”

As published on stackai.com. Captured by usedby on Oct 8, 2026.

What happened

Varos built a web research AI agent that scrapes public company data, extracts product details, and classifies companies with LLMs to qualify leads. Team members upload lists of companies and receive structured, categorized outputs.

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

  • 11,728“Since launch, the AI-powered assistant has performed over 11,728 company classifications, saving the team more than 800 hours of manual work.”
  • 1-week“1-week deployment of a fully operational AI agent without added engineering resources”

Since launch, the AI-powered assistant has performed over 11,728 company classifications, saving the team more than 800 hours of manual work.

From the page. stackai.com, captured Oct 8, 2026

Since we began using StackAI, the productivity gains have been remarkable. The ability to effortlessly create complex logic has been a game-changer for us.

Yarden Shaked, Founder and CEO, Varos. Source, captured Oct 8, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 8, 2026.

  • The figure: 800+ hoursCheckedPrinted word for word on the page, near the name of Varos.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Varos.
  • Varos uses StackAICheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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