How Varos Scaled Company Classification Using Stack AI’s No-Code Platform

How Varos Scaled Company Classification Using Stack AI’s No-Code Platform
Overview

Varos, a leading competitive intelligence firm, partnered with StackAI to automate its previously manual company categorization workflow, cutting more than 800 hours of labor and improving lead qualification accuracy and scale. By building a custom AI agent tailored to its research workflow, Varos streamlined web scraping, product data extraction, and classification using LLMs, all without expanding its technical team.

“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

The Challenge: Lead Qualification Bottlenecked by Manual Web Research

Varos knew it needed a more scalable way to qualify leads. Its operations team was responsible for scanning online company profiles, analyzing product offerings, and assigning categories to incoming leads. This process, done manually, required hours of repetitive research and made it difficult to ensure consistent classification at scale.

Manual research also limited the volume of companies that could be evaluated and created delays in delivering insights to marketing and sales teams. With growing data inputs and mounting pressure to accelerate operations, Varos needed a way to automate this process quickly, but without sacrificing precision.

The Solution: StackAI-Powered Categorization Assistant

Varos built a custom web research AI agent using StackAI's no-code builder. The agent automated every step of the lead qualification process, from scraping public web data to extracting relevant company details and classifying leads. This AI agent leverages LLMs to interpret unstructured web data and apply consistent classification logic. The best part? It was deployed in just one week without requiring additional engineering support.

The AI assistant seamlessly integrated into Varos’s workflow, allowing team members to upload company lists and receive structured, categorized outputs at scale. The ability to customize logic and prompts within StackAI also meant Varos could continuously refine results based on evolving business needs.

🕒 This AI agent has saved over 800 hours of employee time. 

More Than 11,728 Classifications; More Than 800 Hours Saved. What’s Next?

Since launch, the AI-powered assistant has performed over 11,728 company classifications, saving the team more than 800 hours of manual work. The automation has not only improved efficiency but also led to better consistency and insight quality across lead qualification efforts.

The tool's success has sparked internal interest in expanding AI capabilities across the business, with additional agents now being explored in analytics and go-to-market operations. StackAI looks forward to a continued partnership, accelerating workflows across teams and enabling massive time and cost savings.