Automating Prospect Profiling with AI | Faster Sales Cycles | Atlas Inspire

Our client, a B2B technology solutions provider, needed a scalable way to gather, categorize, and summarize data from thousands of prospect websites.

The goal: Equip the sales team with instant, organized company insights for effective outreach and segmentation.

Sales operations were stuck in a manual, time-intensive loop:

• Visiting websites one by one
• Scraping and organizing info
• Manually tagging companies by industry, service, and size
• Writing readable summaries for the sales team

As the number of prospects grew, this method became unsustainable. They needed an automated pipeline to turn unstructured site data into usable sales insights.

Atlas Inspire built a custom AI-powered system to automate the entire profiling and tagging process — all using open-source LLM technologies.

Automated Company Profiling & Tagging Using Open-Source LLM Technologies

• 90% reduction in manual effort
• High-quality, consistent company summaries delivered to sales team
• Improved segmentation and CRM targeting
• Fully open-source solution — no recurring license fees

This solution helped the client scale prospecting without sacrificing personalization or data quality — turning raw web data into actionable sales intelligence.