Serra

Serra is an AI-powered search engine which aids recruiters in the candidate search process. It identifies and sources top quality inbound and outbound candidates to speed up recruitment procedures.

Serra assists in recruitment by identifying and sourcing top quality candidates both inbound and outbound. It expedites the recruitment procedure by instantaneously finding and ranking the top candidates based on specific criteria and predictive job performance requirements.

Serra identifies top quality candidates through a combination of AI capabilities and external databases. It can proactively search and identify potential candidates who haven't applied on external databases like LinkedIn, Indeed, and Github profiles.

Serra uses specific criteria and predicted job performance requirements to rank candidates. For instance, it can find and rank 'Product Managers with SaaS experience and UX design skills'.

Yes, Serra has the capability to predict job performance requirements. This feature allows it to rank candidates based on their predicted job performance.

Serra has the ability to detect fraudulent applications, but the specific methodology behind this detection is not provided on their website.

Yes, Serra has features in place to track diversity metrics within the candidate pool. This aids organizations in achieving their Diversity and Inclusion objectives.

Serra enriches candidate data with external resources like Github and LinkedIn. It uses these platforms to identify potential candidates and gather additional information about them.

Serra can be seamlessly integrated with existing Applicant Tracking Systems (ATS). Though no specific integration process is mentioned on their website, it is declared as a feature of the platform.

Serra uses LinkedIn, Indeed, and Github profiles as external databases for proactive candidate search. These serve as platforms to identify potential candidates who have not yet applied.