PolygrAI Interviewer is an AI platform for running and analyzing job interviews. It helps HR teams automate parts of the interview process, evaluate candidates, and flag potential reliability risks using combined video, audio, and language signals.
Video and voice signal analysis
The platform reviews nonverbal and vocal cues to add context to a candidate’s responses, including:
Facial micro-expressions, eye movement, gestures, posture, and overall body language
Voice characteristics such as tone, volume, pauses, rhythm, and intonation
These signals are used to indicate engagement, confidence, stress, hesitation, or other emotional markers.
Language analysis and integrity signals
Using NLP and psycholinguistic metrics, PolygrAI evaluates how a candidate answers questions:
Speech structure and word choice
Logical flow and consistency
Based on combined audio, video, and text inputs, the system generates AI scores, highlights potential risk areas, and issues alerts about possible deception or information distortion.
Interview automation at scale
Teams can define goals and evaluation criteria in advance and delegate routine interview steps to AI. PolygrAI supports interview recording, analysis, and scoring to speed up screening, reduce subjective bias, and improve hiring transparency.
