Built on science, not guesswork

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.

Understanding dog's vocalisation

Acoustic Analysis (The Voice)

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.

How dog could be anxious

Kinetic Telemetry (The Motion)

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.

Active dog in nature

The Synthesis (Context)

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.

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.

7

7

 After a 7-day learning period, the AI adapts to your dog’s unique behavioral baseline for maximum personalization.

6

6

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.

Key takeaway from our researcher:

“Subjective observation is often flawed. WellPet.ai provides us with the 'missing link' - objective, continuous data from when the patient is at home. This ability to see the history of anxiety or pain triggers is a game - changer for preventive veterinary medicine.”

Key takeaway from our researcher:

“Subjective observation is often flawed. WellPet.ai provides us with the 'missing link' - objective, continuous data from when the patient is at home. This ability to see the history of anxiety or pain triggers is a game - changer for preventive veterinary medicine.”

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Dog with separation anxiety
Dog with separation anxiety
Dog with separation anxiety

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.

Multimodal sensor fusion
Research shows that combining multiple sensor streams (accelerometer, gyroscope, microphone, GPS) increases accuracy by 30–40% compared to single-sensor approaches. WellPet uses all four.
Personalized baselines
Every dog is different. WellPet spends 7 days learning your dog’s unique behavioral patterns before generating insights — because what’s normal for a Border Collie is very different from a Bulldog.
Ongoing validation
Our current study tracks 18 dogs across different breeds and age groups to validate separation anxiety detection accuracy. Results are continuously fed back into our AI models.

See the data yourself.

See the data yourself.

Try WellPet technology risk-free and discover what your dog is telling you.

Try WellPet technology risk-free and discover what your dog is telling you.

See it in action → Free 30-day trial