Tandem
16 Case Studies
A Tandem Case Study
Underwriters Laboratories (UL) faced the challenge of managing decertification risk across its vast, century-old archive of product certification data. This data was locked in unstructured text formats like PDFs, making it impossible to quickly identify which end products were at risk when a component's certification was withdrawn. Tandem was engaged to help turn this historical data into a actionable intelligence.
Tandem built the RISK platform, which used applied AI & NLP to extract component references from the unstructured text and build a massive composition graph. The solution included a rules engine that UL's own experts could edit to distinguish real risks from false positives. This resulted in a reviewer worklist that flagged at-risk products within hours of a withdrawal event, down from weeks. The system made over a century of historical data queryable and transformed UL's role into an early-warning system for its clients.