Case Study: Global Cleaning Products Manufacturer accelerates surfactant research with Ontotext

A Global Cleaning Products Manufacturer Accelerated and Enriched Its Research on Surfactants and Skin Interactions

Global Cleaning Products Manufacturer needed reliable, complete information about surfactants and skin interactions for R&D, but existing ontologies and public sources were incomplete, inaccurate, and difficult to analyze manually. They turned to Ontotext for help building a domain-specific solution to reduce risk and speed up research on cleaning and personal care ingredients.

Ontotext created a surfactant ontology and a knowledge graph using PubMed articles, applying text analysis such as named entity recognition, rule-based extraction, and relation extraction. The result was faster and more efficient data discovery, reduced manual effort, easier access to surfactant and skin reaction information, and faster onboarding for new employees, while helping uncover hidden correlations in the literature.