PGBET develops a data-driven recruitment software that utilizes machine learning algorithms to automatically match candidates with job openings based on their skills and experience. This technology addresses the inefficiencies in the hiring process by significantly reducing the time and resources spent on candidate selection.
Funding
$1.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional recruitment processes are often inefficient, requiring significant time and resources to manually screen and match candidates to job openings. This can lead to delays in filling critical positions and increased costs for businesses.
Solution
PGBET offers a data-driven recruitment solution that leverages machine learning algorithms to automate candidate matching. The platform analyzes candidate skills and experience to identify the best fits for specific job requirements, streamlining the hiring process. By automating the initial screening and matching stages, PGBET significantly reduces the time and effort required for candidate selection, enabling faster and more efficient hiring decisions.
Target Audience
PGBET primarily targets human resources departments and recruitment agencies seeking to optimize their hiring processes and reduce time-to-hire.
Features
- Machine learning-powered candidate matching based on skills and experience
- Automated screening and ranking of applicants
- Integration with job boards and applicant tracking systems
- Customizable matching criteria to align with specific job requirements
- Real-time analytics and reporting on candidate pipeline