The SaaS company Hypefactors, which delivers a unified solution for media intelligence, reputation and trust tracking, is preparing the implementation of its proprietary AI-based Named-Entity-Recognition (NER) in Second Quarter of 2022. This NER technology is newly built with machine learning techniques, designed to scale and enables new levels of media monitoring precision that is unparalleled within the media intelligence industry. In combination with recent data enrichment additions to Hypefactors' Atlastic media intelligence technology, incl.

automated analysis of brand reputation and trust across earned media mentions, the inclusion of automated NER technology will be an important cornerstone of the total solution. Clients will directly benefit from this cutting-edge technology: AI-based NER finally enables tracking of brands consisting of generic words, such as Netto and Apple, as well as finely differentiate between ambiguous matches, such as e.g. Stella McCartney the brand versus Stella McCartney the designer. The precision and accuracy is unparalleled in the media intelligence tech industry.

This AI-based NER is developed by Hypefactors' team of AI engineers and linguists. It builds upon pre-existing multi-lingual AI construction methods also used for Reputation-AI and Presence-AI. The proprietary approach contributes to Hypefactors' unique tech asset and IP base.

NER is the pivotal technology taking media intelligence to the next level, and it is the cornerstone for a sleeve of new innovative product features planned for later parts of 2022 and 2023.