Document Review with Unsiloed and TypeSafe Jev

Unsiloed AI and TypeSafe's Jev work together to validate extracted document data by combining Unsiloed's structured field extraction with Jev's focused question-answering capabilities to catch OCR errors and data inconsistencies. Jev uses three answer types (Noul for probability assessments, Choice for selections, and Score for rubric evaluations) to evaluate extracted information and identify fields requiring human review. This dual approach helps prevent bad data from passing through extraction pipelines, such as catching clearly printed but implausible quantities or obscured values.