Now, more than ever, candidate applications are through the roof. Companies are overwhelmed with the number of applications and are therefore unable to screen all CVs manually.

Training advanced machine learning - convolutional neural networks, we scored future candidates based on captured (/past) lookalike profiles. We used a number of informational sources (such as online profiles and written applications) to analyse the appropriateness of a given applicant for a specific role.

This candidate-to-company matching provided the online recruitment agency a degree of automation so their staff were more efficient in delivering their clients effective human resource.