Recruiting the right candidates, both inbound and outbound, often presents recruiters with a strenuous and time-consuming challenge, which often results in lengthy hiring processes, missed opportunities, and sub-par recruitment choices. This is where Serra comes into play.
Serra is an artificial intelligence (AI)-powered candidate search engine designed to ease the recruitment process. It enables recruiters to identify the ideal inbound and outbound applicants, whether they are situated within or outside an organization’s Applicant Tracking System (ATS). By integrating Serra, a Generative Pretrained Transformer (GPT) powered search engine, with an ATS and other sources such as GitHub and LinkedIn, the search process of identifying and ranking the best fitting candidates can proceed quickly and efficiently.
The system identifies candidates based on recruiters’ specific requirements and the candidates’ expected job performance. For example, if a recruiter is seeking product managers with Software as a Service (SaaS) experience and User Experience (UX) design skills, Serra can provide a list of the best fits. It achieves this by analyzing the context of candidates’ profiles to enhance keyword matching, ensuring accurate results.
Serra has various noteworthy features. First, it employs vector search and GPT mechanisms to sort through thousands of applications within an ATS. It identifies notable markers within these applications that signal potential candidates. Second, Serra is equipped with the capability to sift through external resources to locate pertinent candidate profiles. It incorporates data from external entities, such as GitHub and LinkedIn, to provide recruiters with a more comprehensive view of candidates.
Third, Serra provides recruiters with ranked applicant results, enabling the automation of pre-screening questions and answers and facilitating the categorization of candidates, thereby delivering practical insights. Lastly, it provides visual representation of data through graphs, presenting the performance in recruitment, engagement levels of candidates, and the longevity of employees within the organization.
In summary, Serra is an AI-powered candidate search engine that holds the potential to revolutionize recruitment processes. By trawling through ATS’ and other external databases, it assists recruiters in identifying the most suitable prospects for their requirements. By comprehending the context of candidates’ profiles, it can provide ranked and categorized results. This level of automation extends to the pre-screening process (including question and answer collection), delivering actionable insights that only help further streamline the recruitment process. The overarching benefit of using a tool such as Serra is that it offers the possibility of making recruitment more efficient, quicker and devoid of errors.
