Compare Skillate vs. untapt intelligence

Skillate is an innovative decision-making platform designed to simplify and enhance the hiring process, making it quicker and more transparent. It seamlessly integrates with popular systems like Taleo, SuccessFactors, Workday, and SmartRecruiters, optimizing every aspect of recruitment from job requisition creation to resume matching and candidate engagement, ultimately leading to successful hires. By utilizing Skillate's AI-driven solutions, organizations can automate their hiring processes, significantly boosting both recruitment efficiency and effectiveness. With automated resume matching, you’ll never overlook a top candidate, while AI chatbots elevate your screening processes. Additionally, Skillate transforms passive candidates into active applicants, leveraging Deep Learning to extract details from even the most complex resumes. Furthermore, Skillate empowers talent acquisition teams to craft comprehensive job descriptions, receive real-time status updates, and enhance employer branding by delivering an improved candidate experience throughout the hiring journey. By adopting Skillate, companies can ensure a more streamlined and effective recruitment strategy that adapts to their unique needs.

INTELLIGENCE - Our primary algorithm specializes in pinpointing and prioritizing the most suitable connections between resumes and job openings, serving recruitment agencies and talent acquisition departments effectively. This system allows for rapid matching of candidates from your ATS or CRM based on the job descriptions provided by your clients. By analyzing the natural language within both job descriptions and candidate profiles, our models generate a prediction of compatibility. This innovation liberates your teams from the cumbersome task of constructing lengthy and intricate “Boolean” searches that often produce irrelevant results and overlook qualified candidates. Utilizing a natural language model enables a comprehensive evaluation of fit to be determined. With training on millions of candidate-job combinations and insights gained from interview outcomes, our models are adept at forecasting whether a candidate will receive an interview invitation. Ultimately, this leads to more efficient hiring processes and a higher quality of candidate selection.