Case Study: Underwriters Laboratories detects decertification risk faster with Tandem’s RISK platform

A Tandem Case Study

Preview of the Underwriters Laboratories Case Study

Underwriters Laboratories flags decertification risk within hours with Tandem

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PDFs, making it impossible to quickly identify which end products were at risk when a component's certification was withdrawn.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.


View this case study…

Tandem

16 Case Studies