Case Study: Varos Saves 800+ Hours with StackAI

Varos saves 800+ hours with Stack.ai

Varos, a competitive intelligence firm, faced a significant challenge in scaling its operations due to a manual process for qualifying leads. The company's team was spending excessive hours on repetitive web research to categorize companies, which slowed down growth and created inconsistencies. To address this, Varos partnered with Stack.ai to automate the workflow using an AI-powered categorization agent.

Using Stack.ai's no-code platform, Varos implemented a custom AI agent that automated web scraping, data extraction, and classification. This solution performed over 11,000 company categorizations, saving more than 800 hours of manual work. The deployment was completed in just one week, leading to faster and more consistent lead qualification without the need for additional engineering resources.

Varos