Case Study: Materiom builds a material data database with Iris.ai

Build business value through a database of material data

The customer, Materiom, needed to build a database of material compositions and properties to establish its services. Their challenge was the immense manual effort required to extract this specific data from 50,000 scientific research papers. The vendor, Iris.ai, provided its tools to help automate this extensive data extraction process.

Using the Iris.ai Extraction tool, the initial database was successfully populated by systematizing and recording data from all 50,000 articles. Furthermore, Iris.ai's Researcher Workspace created an automated workflow to identify and extract data from thousands of new papers published annually, ensuring the database remains current and scalable without continued manual effort.

Materiom