Case Study: Dun & Bradstreet reduces manual input by 95% with Evolution AI

Dun & Bradstreet reduces manual input by 95% with Evolution AI

Dun & Bradstreet, a leading global data provider, needed a real-time KYC data feed for all UK companies but faced a significant challenge. Their previous supplier manually extracted shareholder information from poor-quality scans and PDFs on the UK Companies House registry, a process that was expensive, time-consuming, and difficult to automate due to countless variations in document layout. They partnered with vendor Evolution AI to solve this problem.

Evolution AI implemented its proprietary OCR technology, built specifically to handle poorly scanned financial documents. The solution accurately extracted data from even the most challenging elements like handwriting and complex tables, achieving near-perfect accuracy. This reduced Dun & Bradstreet's need for manual input by 95%, allowing them to process 200,000 pages per day in real-time while reducing their data entry staff from 40 people to just two operators.

Dun & Bradstreet