Case Study: Dun & Bradstreet achieves fresher, more accurate corporate contact data with ITRex's AI-powered extraction system

Dun & Bradstreet adds 100 million verified contacts with ITRex Group

Dun & Bradstreet, a leader in business intelligence, needed to enhance its data platform with accurate and continuously updated corporate contact information. They engaged ITRex Group to build an AI-powered solution that could intelligently discover and extract employee details from corporate websites while ensuring high accuracy, scalability across languages, and strict compliance with privacy regulations.

ITRex developed a multi-layered system featuring custom ML models for webpage discovery and contact filtering, plus a dual LLM pipeline for efficient data extraction. The solution, which integrates with the client's platform, has already added over 100 million new, verified contacts. This has significantly reduced manual verification efforts for Dun & Bradstreet and scaled their platform capabilities, reinforcing their competitive edge.

Dun & Bradstreet