RMT Labs: AI for recruitment

The solution: a single, interactive platform

These considerations gave birth to the concept of a new interactive artificial intelligence recruitment platform, Skillbourg, which combines an applicant tracking system, a candidate relationship manager and a light layer of HR information in a single environment. "The platform is based on a broad, proprietary language model focused on recruitment, hosted and trained in the European Union," says Mr Stoica.

In concrete terms, recruiters focus on the definition and description of positions, and the platform is responsible for collecting applications, extracting structured information from CVs and validating key data to semantically associate profiles with open positions. On the candidate side, an AI career manager can also help users build and improve their resume, understand their suitability for certain roles and plan their next career steps.

"Across the architecture, the requirements of the GDPR and the AI Act are considered fundamental design constraints. The solution includes audit trails, explainability, bias checks and data residency in the EU by default," summarises Mr Stoica.

Processing times reduced by 83%

In the end, the AI-based approach brings measurable improvements in terms of efficiency, cost and quality of recruitment. The hiring time for ICT positions has been reduced to about 12 days, which is an improvement of about 83%. "Manual and repetitive tasks such as CV checking, first-level grading and initial communication are reduced by up to 70%." This allows recruiters to go back to focusing more time on more positions. The service fee is reduced to 50% of the usual agency fee level.

These efficiency gains are reflected in the company's results: RMT Labs, which works with 14 customers in 10 countries, has doubled revenues year-on-year and achieved an average monthly recurring revenue of €100,000 in the first half of 2025.

€4 million in investments planned

"We see the current platform as a solid foundation for the next phase of development," says Mr Stoica. Over the next 24 months, the company plans to invest around €4 million in research and innovation to finalise a full SaaS version of the solution. "We will also further train our proprietary recruitment language model on the European infrastructure, in collaboration with partners such as the Luxembourg Institute of Science and Technology (LIST) and LuxProvide, via the Meluxina supercomputer."

At the same time, the company is working to strengthen trusted AI features. This includes more advanced bias tracking, richer explainability for each recommendation and ESG-oriented metrics integrated directly into the recruitment process.

"The long-term goal is to evolve from a rapid recruitment engine to a global, AI-compliant co-pilot for career and talent decisions, supporting both employers and candidates."