Hiretual’s AI-powered Intelligent Talent Pipeline consolidates the top of the recruiting funnel, fusing passive candidate sourcing data from the open web, Applicant Tracking Systems, and resume databases to deliver the ‘Holy Grail’ in passive recruiting technology for HR teams
Hiretual, the leading provider of AI-powered enterprise software for passive candidate sourcing and recruiting, announced the launch of Intelligent Talent Pipeline, a consolidated talent pipeline for the enterprise a market first. Hiretual’s Intelligent Talent Pipeline consolidates and fuses all talent pools – combining data from a company’s internal systems with passive candidate sourcing data from the open web – to automatically deliver the best fit candidates to a company’s hiring pipeline.
“Talent acquisition to date has been very transactional, with candidates going from job posting to hire. The Hiretual Intelligent Talent Pipeline creates an intelligent, closed loop system that continuously learns and gets better, constantly rediscovers, and actively integrates with all other enterprise functions within HR,” said Steven Jiang, CEO and co-founder of Hiretual. “The launch of Intelligent Talent Pipeline delivers the ‘Holy Grail’ in recruiting technology for HR teams, transforming talent acquisition from data-driven to intelligence-driven.”
Talent data sources have been very fragmented and isolated from each other with no single source pipeline, which makes the process of identifying, engaging and recruiting passive candidates extremely manual and inefficient. The lack of a single source pipeline also makes it very difficult for Talent Acquisition (TA) teams to mine their past applicant database or their internal employee databases for internal roles and career mobility within the enterprise.
How Intelligent Talent Pipeline works
Company X posts a job they want to fill on their career site via their ATS (i.e. Taleo, Jobvite, ADP, Workday, etc.), which posts the job to places like LinkedIn, Indeed and Monster. Company X is then awash in applications – even more so if they are a well-known brand. Many of these applicants are high quality, but unfortunately not currently qualified for the position. Hiretual’s AI-matching engine automatically screens the incoming stream of applicants in real-time, and delivers the best fitting applicants for the role to Company X’s ATS (Applicant Tracking System) – while automatically screening out and delivering applicants who are not qualified for the current role to a passive talent pool. This automation saves significant time and increases the quality of the applicant pipeline in Company X’s ATS by ten-fold.
Concurrently, Hiretual’s AI also parses job specifications, identifying the required skill sets, and immediately sources the best fit candidates for that job from the combined talent pool of applicants and the entire open web. The ATS data Hiretual brings into the Intelligent Pipeline is continuously refreshed and enriched – so all of the candidate profiles – even those that might be years old – are matched and consolidated with updated data from the open web. This enables Hiretual to deliver the best fit candidates – whether they convert immediately to employees or not – to a living, breathing, single-source Intelligent Talent Pipeline.
“Typically, when a company posts jobs and the applicant isn’t right for the role, the candidate’s resume basically goes in the trash and nothing is done with it,” added Randy Weber, Chief Revenue Officer of Hiretual. “There are a wealth of candidates a company might want to go back to in a few years once they’ve gained more experience and skills. By applying Hiretual’s AI to all the passive sourcing enterprise recruiters do, many job applicants could become the best fitting candidate for a company down the road.”