Case Study: Pharmaceutical Operations Company reduces production losses by $1M with Falkonry time series AI

How Falkonry helped avoid costly losses from misprocessing

A pharmaceutical operations company was facing costly production losses and equipment downtime exceeding $1.3M annually due to an uncontrollable rubber vulcanization and extrusion process. Their challenge was the inability to detect conditions that caused quality and maintenance issues until it was too late. Falkonry was engaged to address this challenge.

Using its suite of AI products, Falkonry analyzed time series process data from the entire extrusion line. This enabled the recognition of abnormal patterns more than eight hours in advance, allowing engineers to prevent losses. As a result, the plant achieved its target of a 10% capacity increase and reduced production losses by $1M.