Built on science, not guesswork
WellPet.ai is a research-backed platform developed in collaboration with veterinary scientists. We don't just track location. We analyze the biological and acoustic signatures of your dog to turn raw data into veterinary-grade insights to improve your dog's emotions and longevity.
Acoustic Analysis (The Voice)
We don't just hear noise. Our advanced audio sensors analyze tone and pitch to distinguish a playful bark from a cry for help, capturing vocal nuances that indicate mood.
Kinetic Telemetry (The Motion)
Going beyond simple step counting, we track specific body language patterns. Our system detects shivering, anxious pacing, or lethargy to measure physical well-being.
The Synthesis (Context)
The AI cross-references sound with motion in real-time. By connecting these two dots, the model understands the context, knowing the difference between excitement and stress instantly.
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After a 7-day learning period, the AI adapts to your dog's unique behavioral baseline for maximum personalization.
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Core Emotional States Real-time classification of: Happiness, Anxiety, Aggression/Warning, and Pain/Discomfort.
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Seconds Latency from data capture to user insight. Edge-computing ensures critical alerts are delivered instantly.
Academic partnership
We work with researchers at the Faculty of Veterinary Medicine, University of Belgrade to validate our emotion detection algorithms against clinical behavioral assessments.
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Read what our researchers recommend
Anomaly Detection Case: Separation anxiety
The system detected repetitive motion patterns (pacing) and high-pitched vocalizations 15 minutes after owner departure, classifying this as a “High Anxiety Event.” Intervention recommended.
Download a guide
Read what our researchers recommend
WellPet.ai is not a medical device. The insights provided are informational and designed to complement — not replace — professional veterinary care.