Kalibrr

Kalibrr is a technology firm operating in the recruitment and human resources sector, with a specific focus on the Southeast Asian market, particularly the Philippines and Indonesia. The company was established to address the inefficiencies in the hiring process for both employers and job seekers. Kalibrr was co-founded by Paul Rivera and Dexter Ligot-Gordon. Paul Rivera, the CEO, has a background that includes experience at Google, which informed his approach to building a data-driven recruitment platform. Co-founder Dexter Ligot-Gordon brings technical expertise to the venture. The company's journey began with its participation in the Y Combinator accelerator program during the Winter 2013 batch, a significant milestone that provided initial seed funding and strategic guidance.

The core of Kalibrr's business is its AI-powered recruitment platform designed to streamline the hiring workflow. The platform serves a diverse client base, ranging from small and medium-sized enterprises to large multinational corporations, including names like Coca-Cola and Google. Its business model is primarily B2B, generating revenue through subscription plans offered to companies. These plans provide access to a suite of tools for posting job openings, managing applications, and assessing candidates. Kalibrr differentiates itself by focusing on the candidate experience, aiming to attract high-quality talent by making the application process more engaging and transparent.

Kalibrr's service functions as a full-cycle recruitment platform. For employers, it offers features such as customizable job postings, a searchable database of active job seekers, and candidate assessment tools. The platform's AI technology assists in screening and ranking applicants based on their skills and fit for the role, thereby reducing the time-to-hire. For job seekers, Kalibrr provides a platform to build a professional profile, receive personalized job recommendations, and track the status of their applications. A key selling point is its ability to match candidates with relevant opportunities more effectively than traditional job boards, leveraging data and machine learning to predict compatibility. This approach aims to improve the quality of hires and reduce attrition for its corporate clients.

Keywords: recruitment platform, AI-powered hiring, talent acquisition, Southeast Asia, HR technology, job matching, candidate assessment, Y Combinator, B2B SaaS, applicant tracking