PolygrAI

PolygrAI - Digital Polygraph Powered by AI Technology is a desktop-ready platform that provides real-time risk assessment and sentiment analysis by analyzing visual, audio, and linguistic cues to detect emotional states and potential deception. It emphasizes privacy, real-time insights, and multi-modal analysis to support decision-making across various domains.

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How It Works

• Visual: analyzes facial micro-expressions and body language to detect behavioral fluctuations.
• Audio: monitors vocal attributes like tone and pitch for subtle risk indicators.
• Deception Cues: utilizes a range of psychological indicators to identify potential signs of deception.

Deception Cues Monitored

01 Heart Rate, 02 Blinking Patterns, 03 Eye Gaze, 04 Tone & Pitch, 05 Gestures, 06 Micro-Expressions, 07 Sentiment, 08 Choice of Words.

Technology Principles

• Baseline Learning: builds a behavioral baseline for each individual to improve anomaly detection.
• Psychology Practices: grounded in established research to ensure reliability.
• Risk Assessment: combines visual, auditory, and linguistic data to generate a comprehensive risk score.
• Academic Backing: cites studies showing multimodal approaches outperform monomodal and reporting accuracies around 0.7+ in various contexts.

Get Started

• Desktop app for real-time risk assessment and sentiment analysis with a focus on privacy and security.
• Beta and early access options available.

Use Cases

• HR & Recruiting: objective insights into candidates’ demeanors.
• Management: assess team dynamics and engagement.
• Police & Border Control: analyze behavioral cues during interrogations and screenings.
• Sales: gauge client engagement and interest levels.
• Therapy & Insurance: support assessments and risk evaluations.
• Investors: evaluate trustworthiness and confidence levels.

Safety, Privacy & Limitations

• Real-time analysis with no data stored for training purposes.
• Not infallible; human context remains essential and PolygrAI should assist rather than replace judgment.
• Mobile version in development.

Core Features

• Real-time risk assessment across visual, audio, and linguistic signals
• Multi-modal deception detection with explicit cues (heart rate, blinking, gaze, tone, gestures, micro-expressions, sentiments, words)
• Baseline learning to tailor assessments per individual
• Privacy-first design: no training data collected from users
• Desktop-first experience with plans for mobile and API access
• Broad use-case support across HR, management, law enforcement, border security, sales, therapy, insurance, and investment