PolygrAI is a deep-tech AI platform that transforms any one-way video interview into in-depth behavioral insights and risk assessments through four core modalities:
• Computer Vision: Tracks facial landmarks, micro-expressions, gaze, head pose, blink rate, and subtle skin-tone changes to detect stress or deception.
• Audio Signal Analysis: Measures pitch, tone, volume, speech rate, and hesitation patterns—capturing emotional arousal and confidence.
• Natural Language Processing: Transcribes responses with timestamps; evaluates sentiment, complexity, filler-word usage, and semantic consistency to flag linguistic red-flags.
• Physiological Modeling: Estimates heart-rate from facial video and applies emotion-recognition models to map emotional states throughout the interview.
These feed into:
• Deception Detection & Risk Scoring: A unified Risk Score (0–100) plus per-question flags highlight inconsistencies or potential misrepresentations.
• AI-Generated Summaries: Concise executive briefs that distill integrity indicators, emotional stability, and critical-thinking insights.
• Audit-Ready Reports: Synchronized video & transcript, behavioral and emotion timelines, heart-rate charts, and immutable chain-of-custody metadata exportable as PDF/JSON dossiers.
Product Delivery:
• PolygrAI Interviewer: Design custom campaigns—set or AI-generate questions and define interview objectives—then distribute via an embeddable widget or secure email link.
• Device-Agnostic Response: Candidates answer on any browser-enabled device; all submissions are uploaded for post-processing.
• Campaign Management: Track send-outs, completions, and reminders; review analyzed interviews and summaries in your dashboard or via API.
Built for CAS visa interviews, internal audits & investigations, VC/HR screenings, loan-application checks, and dynamic video surveys, PolygrAI plugs in with a single embed snippet or secure link. Enterprise-grade security (AES-256/TLS), consent capture, and immutable audit trails ensure full regulatory compliance while accelerating data-driven decisions at scale.
