Why we built Axiom Cortex: Technical interviews contain far more evidence than most teams ever use. Important details get lost in memory, scattered notes, confidence, and communication style. That creates noise, especially across global teams and engineers using English as a second language. Axiom Cortex takes a stricter path. Companies define the role, must-haves, interview questions, and ideal-answer criteria. Axiom Cortex processes the complete transcript, one question at a time, while checking the full interview for supporting evidence, contradictions, technical ownership, depth, missing information, and required follow-ups. The interpretation layer finds evidence. It does not choose the score. Evidence is locked first, then governed software rules, calculations, anchors, and decision gates produce the result. Missing evidence cannot become an invented number, and one strong answer cannot hide a failed core requirement. We did not build this from a few sample interviews and immediately take it to market. The method was developed and hardened through more than eight years of TeamStation AI work across over 13,000 technical interviews. Those interviews exposed the edge cases, inconsistent answers, weak transcripts, second-language communication differences, ownership gaps, contradictions, and scoring failures the system needed to control. The 13,000+ figure is company-reported operating history. It describes the evidence base used to develop and stress-test the method, not a claim of independent predictive validation. Axiom Cortex organizes the evidence. A person reviews it, corrects it when needed, and makes the final decision. We are now opening the system to early beta teams. We want to hear how your company reviews recorded technical interviews today, what gets missed, and where the process breaks.

Hire with Science not AI | Axiom Cortex

Technical interview evidence your team can verify

Technical interview evidence your team can verify