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PolygrAI's Technology

An Innovative Approach Towards Human Behavioral Analysis

Our Analysis Core

Deception detection has existed for decades, but it has only now began to be empowered by AI and neural networks. We aim to be at the forefront of these developments, which are set to disrupt past beliefs/approaches.

  • Computer Vision

    Extracts facial behaviors and nonverbal cues from video recordings using advanced visual algorithms.

  • Audio Parametrization

    Converts audio into mel spectrograms to analyze pitch, tone, and speech dynamics.

  • Transcription

    Automatically transcribes speech to text for detailed linguistic analysis and statement-by-statement segmentation.

  • LLM Analysis Interpretation

    Uses large language models to interpret data and generate human-friendly analytical summaries.

Analysis Modalities

01

Visual Analysis

PolygrAI’s visual intelligence engine uses computer vision to track facial expressions eye movements gestures and micro expressions frame by frame into quantifiable data. This combined analysis enriches assessments by flagging authenticity indicators and risk factors with reliable accuracy.

02

Voice Analysis

PolygrAI captures subtle vocal cues such as pitch shifts pauses and stress patterns to surface markers of confidence deception or emotional state in real time. These insights replace guesswork with objective data under strict privacy first controls.

03

Linguistic Analysis

PolygrAI harnesses AI to fuse speech cues facial micro expressions and response timing with validated psychometric frameworks to reveal personality traits emotional stability and risk appetite. This context aware approach delivers scalable behavioral insights without traditional testing.

04

Psychological Analysis

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Cues we're looking For

Visual Modality

Heart Rate

Rapid Spikes & Drops

Blinking

Altered blink rate frequency

Eye Gaze

Shifted eye gaze direction

Risk Emotions

Detected elevated risk emotion

Hands on Face

Hand touches face

Head Orientation

Altered head orientation angle

Looked Up/Down

Glance up or down

Audio Modality

Pitch Changes

Sudden pitch spike

Volume Changes

Rapid Spikes, Drops

Speech Rate Changes

Rapid speech variation

Extended Pauses

Lengthy silent gap

Linguistic Modality

Risk Words

Risk-indicating words

Filler Words

Frequent filler usage

Suspicious Phrases

Abnormal phrase patterns

Negation Use

Excessive negative words

Psychological Modality

MBTI Personality Type

Personality classification system

Attachment Style

Patterns of relational bonding

Light/Dark Triad

Spectrum of personality traits

Deception Detection Research

Explore research into the science and technology behind lie detection, covering facial micro expressions, voice stress signals, word pattern analysis and brain activity insights that empower PolygrAI’s truth detection.

Social Impact and Privacy Stance

We do not collect user data for training purposes and we are striving to make a positive impact with our technology

FAQs

DISCLAIMERS

PolygrAI will never reach absolute accuracy and it's illegal to use without consnet

While our technology provides valuable insights into potential risks, it’s crucial to understand that human behavior is inherently complex and unpredictable. Our system is designed to assist users by offering data-driven assessments that aid interpretation, but it should not be viewed as a conclusive determination of truth.

Users are encouraged to consider PolygrAI’s analysis as one part of a broader evaluation process, complementing other information and judgment. Always prioritize ethical use and respect individual privacy and rights.

Yet, it can still make a difference

Despite inherent limitations, our ongoing research and development efforts are focused on refining our system’s accuracy and utility to better serve our users and enhance its impact.

As an AI-powered, multimodal platform under active development that integrates more behavioral and physiological cues than traditional polygraphs, we expect our technology to surpass conventional systems over time, offering increasingly reliable insights when used alongside human judgment.

Read full disclaimer by clicking here.