Hiring is something that is top of mind for many individuals entering the workplace and it tends to be a lengthy and trying process for most. For the applicant, it can be time consuming and nerve racking, as one hopes their best self is expressed through their application. For the recruiter, however, the job of hiring can be an overwhelming burden. After all, the average corporate opening receives roughly 250 applications each. As a recruiter who is seeking the best candidate, and as a candidate who believes they are the best fit for the job, it is in both parties interest to make sure that the best a candidate can offer is shown. That is why the Kitchener based start-up, Tabnex, knows this.
Tabnex is an AI-powered platform solution that integrates the intelligence of open data into the recruitment process to reduce the amount of noise recruiters have to sort through. The platform itself is designed to be compatible with any email provider used by a recruiter so that when an applicant sends their resume, the details of the candidate’s experience are automatically reviewed and organized for the recruiter’s convenience. Tabnex, doesn’t stop there. Using predictive technology to strengthen the candidates profile Tabnex also ensures recruiters receive additional information; such as salary expectation to help guide their decision. The platform aims to addresses the data and workflow efficiency required for businesses looking to hire first-rate talent. In practical terms, it compiles information in an easy-to-follow format, making recruitment much less time consuming.
Tabnex’s data API uses open data by indexing public information on candidates and labour stats so that customers can quickly get reliable information.
According to CEO & co-founder, Marwan Areibi, “A lot of the data we collect from customers is combined with public data that we index to provide meaningful insights on candidates such as expected salary, willingness to relocate - insights that recruiters can confidently use to make more informed decisions".
This feature, referred to as the Candidate Enrichment, will be supported with the combination of proprietary data and public data all stemming from the help and expertise of Canada’s Open Data Exchange.
Traditionally, email data is rather scarce, and it is no help that currently the largest public email datasets that exists come from scandals such as Enron or the Hilary Clinton email debacle during the 2016 US election. The email data that Tabnex uses will be encrypted as it is collected from the users themselves. That said, it is not stored in the company’s own SaaS platform. The challenge is that email data alone is not sufficient for Tabnex’s objective; this is where ODX’s support is leveraged. Tabnex will use open data to gain a deeper understanding of the type of intelligence recruiters use to determine the ideal candidate, allowing them to sift out less desirable applicants from the mix.
Tabnex offers a number of advantages for API providers willing to integrate the Tabnex platform into their service. Ultimately, this makes it easier for recruiters to transfer candidate insights and intelligence from email directly to their API of choice -- broadening the functionalities of these systems. In addition to candidate data enrichment and extending the applicant tracking tool of compatible APIs, Tabnex also promises to automate workflow such as prospect detection, job matching, and advanced resume parsing.
The advantage of Tabnex in a nutshell? Reduced time-to-hire, 100% user adoptions, and increased quality of candidates ready for interview. With the help of Tabnex’s data driven platform, hiring need not be an arduous task for prospective entrepreneurs.
