PrediCX features two key technologies developed over a decade of academic research. Firstly AIR (Automated Information Retrieval) extracts all of the possible topics and associated sentiment from the raw data. Secondly OL (Optimized Learning) takes this rich output from AIR and uses it to generate predictive models. Crucially, OL ‘asks’ users for specific input for validation where it needs it to optimize performance.
As a result, PrediCX can automatically classify VoC data to a high degree of accuracy with minimal user input. And because it’s accessed via an API (cloud or onpremise) it can be easily deployed and operationalized.