Case Study: Varos saves 800+ hours with StackAI’s AI-powered categorization agent

How Varos built an automated web research tool for company categorization using AI

Varos, a competitive intelligence firm, faced a significant challenge with its manual lead qualification process. Their operations team spent countless hours manually researching and categorizing companies, which slowed growth and created inconsistencies. To automate this without adding technical staff, they partnered with Stack.ai to build an AI-powered categorization agent.

Using Stack AI's no-code platform, Varos built a custom agent that automated web scraping, data extraction, and classification with large language models. This solution was deployed in just one week and has since performed over 11,000 company categorizations. The automation saved Varos over 800 hours of manual work, improved the consistency of its lead qualification, and sparked internal interest in expanding AI to other parts of the business.

Varos

Yarden Shaked

Founder & CEO