Empowering Talent Matching with AI: Revolutionizing Recruitment Through Advanced Language Models. A collaboration between Seeds and Collective AI

Introduction

Seeds is an online platform that connects on-demand talent from Latin America with companies both within the region and around the world. Through a meticulous process, Seeds ensures the perfect match between the needs of companies and the talent with the right skills and experience. In addition to managing hiring processes, Seeds builds a community of Seeders — independent professionals who seek to work in a flexible, agile, and dynamic way.

Challenge

As Seeds has grown, completing over 600 projects for companies like Coca-Cola, Unilever, Nestlé, and Mercado Libre, the need to optimize its processes became imperative. With a constantly expanding community that exceeds 35,000 members, of which more than 3,500 are fully validated talents, Seeds faced a dual challenge: perfecting its matchmaking algorithm to precisely connect companies with the right talent, and streamlining the validation of new candidates through the development of an efficient CV screening system.

Solution

At Collective AI, we designed an innovative solution that revolutionizes how Seeds connects companies with the best talent. Our technology, based on large language models (LLMs), allows for precise processing of both job descriptions and Seeders' CVs, ensuring a perfect match between both parties.

Job descriptions are analyzed by LLM-based agents that automatically extract key requirements: necessary skills, previous experience, academic background, certifications, languages, and more. This information is crucial in identifying the most suitable candidates.

On the other hand, candidates' CVs are meticulously processed to evaluate their relevance to the applied role, alignment with their stated seniority, and the quality of the writing. This detailed analysis ensures that each Seeder meets the standards of excellence that distinguish the community.

During the screening process, the collected information is weighed by an algorithm that assigns a suitability score, simplifying decision-making to move forward with technical and cultural validation interviews. Once validated, the system not only identifies the most suitable candidates for each job search but also presents them with the most relevant job opportunities based on their profile. This guarantees a personalized experience for the Seeders and ensures companies hire highly qualified candidates for their teams.

Impact

The collaboration between Seeds and Collective AI has resulted in substantial improvements: the accuracy of the matchmaking algorithm has significantly outperformed the previous implementation. Additionally, the new screening system has significantly reduced the time required to evaluate preliminary profiles, facilitating the scalability of these processes in a rapidly growing environment.

If your company faces a similar challenge or needs a customized solution, contact us today to discover how our innovative solutions can accelerate your digital transformation. With Collective AI, turn your challenges into opportunities for growth and success.