Using Machine Learning, powered by KMX, Evalueserve Project Managers are assisted in ensuring quality of the work output. The KMX algorithm helps the Project Managers to identify documents that might be wrongly tagged or labelled for relevancy. The benefit is improved retrieval accuracy and consistent quality in the Analysis & Tagging phase of the project on Insightloupe. We call this Quality-check-as-a-Service.

Evalueserve analysts also use KMX on Insightloupe to enhance the comprehensiveness (recall) of the study. Once an analyst has reviewed a first set of documents for relevancy on Insightloupe, he can use the KMX algorithm (as a part of secondary searching feature) to identify if there are relevant documents within a second set of documents. This enhances the retrieval of relevant documents and hence the recall of the study.