Behavioral
Detection
Detect intent, not just actions. Our AI analyzes body posture and movement patterns to identify suspicious behavior before an incident occurs.
Intelligence Engine
Our multi-signal AI infrastructure analyzes complex behavioral cues to provide early warning indicators with extreme situational precision.
Body Posture Analysis
Real-time skeleton tracking determines stance and physical orientation relative to high-risk zones.
Movement Patterns
Algorithms identify erratic navigation, loitering, and pathing that deviate from standard shopping behavior.
Item Interaction
Detects the specific behavior of how items are handled, including concealment movements and shelf-sweeping.
Exit Intent Estimation
Analyzes velocity and visual focus towards exits to estimate potential push-out risks or unpaid departures.
Visual Intelligence In Action
Our vision transformer models map anatomical keypoints in real-time to decode high-level intent. The engine recognizes pre-theft markers with clinical precision.
Anatomical Keypoint Tracking
Maps 17 joints to analyze body language and stance.
Intent Scoring
Probability-based risk assessment updated at 60fps.
INTENT_DECODE: ACTIVE
FLEET_SYNC: VERIFIED
Behavioral Signatures
Our system is trained on extensive real-world datasets to recognize and classify complex malicious intent patterns with extreme accuracy.
Concealment Behavior
Specific movement patterns of clothing adjustment or sudden body blocking while interacting with merchandise.
Early detection of store-wide inventory loss through non-scanned item removal.
Sweethearting
Irregular patterns in checkout interactions where items are passed but not scanned or properly logged.
Mitigates internal shrink at the point of sale without confrontational disruption.
Item Switching
Detected when high-value merchandise is exchanged for lower-value alternatives or placed in incorrect packaging.
Ensures SKU honesty and prevents inventory variance at the source.
Exit Hesitation
Anomalous behavior at exit routes, including frequent looking back or waiting near threshold sensors.
Identifies potential push-out theft attempts before they cross the threshold.
Coordinated Movement
Analysis of multiple subjects maintaining consistent relative distance or using blocking maneuvers.
Recognizes organized retail crime (ORC) patterns in real-time.
Privacy & Ethical Design
We believe security shouldn't come at the cost of personal freedom. Our platform is built from the ground up to analyze actions, not people.
No Identity Profiling
We do not store or process personal identifiers or demographic data.
No Biometrics
Face recognition is never required and is disabled by default in our core engine.
Action-Based Only
Analysis is strictly limited to situational context and physical movements.
Compliance Standard
Designed for full compliance with global data privacy regulations.
Anonymity by Architecture
Our edge-processing model strips away all metadata that could identify an individual before any behavioral scoring takes place. The result is a system that understands "what" is happening, without needing to know "who" is performing the action.
Enhance Your
Security Fleet
Our deployment pipeline is measured in days, not months. Join the enterprise retailers using behavioral intelligence to stop theft before it happens.