Case Study: ArcelorMittal achieves faster patent experiment analysis with Iris.ai

Unique competitive advantage through experiment analysis

ArcelorMittal sought a unique competitive advantage by gaining a deeper understanding of the competitor landscape. To do this, they needed to extract and systematize experimental data from thousands of published patents, a process that was traditionally manual and extremely time-consuming. They turned to the vendor Iris.ai for a solution.

Iris.ai implemented its Extract tool, which allows researchers to automatically pull experimental data from a patent through a simple drag-and-drop action. The solution organizes the data, groups experiments with their outcomes, and aligns units, all while providing a confidence score for accuracy. This reduced weeks of manual labor to just minutes, operating at a human level of accuracy with 94% precision and 83% recall, enabling the team at ArcelorMittal to perform more extensive analysis.

ArcelorMittal