Novia addresses key challenges within organizations, including reducing false positive hires, minimizing biased hiring practices, and ensuring that qualified candidates are not overlooked during the screening process.

The company uses machine learning algorithms and large language models to analyze candidate skills and histories in relation to the specific team, hiring manager, and job requirements.

This process involves extracting signals from both the company context and candidate information, allowing for a detailed comparison of candidates to the job and to one another, performed efficiently and at scale.