AI recruitment accuracy, bias and compliance

Matching candidates to jobs is, at its core, a data decision: thousands of dense options on each side, which is why plain LLMs have struggled with it in the past.

Our staged infrastructure uses vector databases, ranked retrieval and metadata to extract the core signal from both sides and narrow down what the LLM finally has to score. That keeps the matching accurate while staying economically scalable and reasonably priced. Because the system also learns from each recruiter’s preferences over time, current customers approve over 90% of the matches we present.