Case Study: Beetween achieves AI CV parsing and candidate matching at scale with Rakam AI

Beetween ranks candidates across tens of millions of CVs with Rakam AI

Beetween, a leading French applicant tracking system provider with over 1,500 customers, faced the challenge of processing and matching tens of millions of CVs at scale using LLM technology. They needed to accelerate their development of this AI-powered document processing while ensuring protection against prompt injection attempts. To meet this challenge, they partnered with the vendor Rakam AI.

Rakam AI implemented a comprehensive AI agent for Beetween that parsed CVs and job postings to extract structured data, block prompt injections, and rank candidates. The solution utilized tools like LLM and OCR for reading documents and vector search for matching. This provided Beetween with a powerful, secure AI matching service at a massive scale. The CEO noted that 44% of hired candidates were already in their database, highlighting the significant cost savings and efficiency gains unlocked by the Rakam AI solution.

Beetween