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About Us

We're Giving Dogs a Voice

Voicari helps you understand your dog like never before 
in real time and with scientific precision.

Building stronger human-dog bonds through empathy & AI

Our Mission

To give dogs a real voice and empower humans with the ability to truly understand their emotions, needs, and unique personalities.

Our Vision

A world where no dog is ever misunderstood, where every bond between humans and dogs is built on trust, empathy, and clear communication.

The Problem

Stress & Anxiety

are common triggers in dogs, often leading to fear-based reactions and emotional imbalance, making daily life stressful for both pets and their owners.

Punishment & Fear

create a cycle of stress and mistrust, where dogs feel unsafe and owners struggle to build a healthy bond.

The Solution

Voicari decodes emotions through AI-powered analysis of barking and vital signs. It bridges the emotional gap, strengthens trust, and prevents misunderstandings — all in real time.

Voicari is not a medical or veterinary device. For health or behavioral concerns, always consult a qualified veterinarian.

Giving Dogs a Voice –
Backed by Science & Empathy

At Voicari, we’re not just building another pet app we’re creating 
a scientifically validated AI platform that listens and understands.

With over 20,000 bark samples, advanced neural networks, 
and a smart wearable collar, we’re changing how humans connect with dogs.

*Note: This app is in open beta early access

Activity Alert

Get notifications about your pet's health.

Our Core Technology

See how Voicari works

Short-Time Fourier Transform (STFT) Audio Analysis
Breaks down your dog’s bark into tiny sound pieces so our AI can understand it.
High–Low Frequency Feature Extraction (HL_FE)
Breaks down your dog’s bark into tiny sound pieces so our AI can understand it.
Convolutional Neural Network
Our AI brain that learns from thousands of barks to spot emotions.
Softmax Classification
Picks the most likely emotion your dog is showing from all possibilities.

Powered by Real Science

Your dog deserves real understanding not guesswork.

Accuracy based on validation dataset performance; real-world results may vary depending on recording conditions and user input.

Our Team

We are just getting started

See what we have planned for you

Advisory Board

See what we have planned for you

Join the Waitlist Today

*Note: This app is in open beta early access
temperature
38.2 °C
SPO2
96%
Respiratory
20 b/min

FAQ – Technology Behind Voicari

Voicari recognizes 7 core emotional states that cover the most meaningful patterns in canine vocal behavior:

  1. Happiness/Play
  2. Curiosity/Seeking
  3. Care
  4. Fear
  5. Anger/Rage
  6. Sadness/Panic/Grief
  7. Neutral

These categories were selected based on scientific research and behavioral studies to provide reliable, actionable insights for dog owners.

All models were trained on a large, peer-reviewed and scientifically validated dataset containing thousands of dog vocalizations labeled by animal-behavior experts.

Voicari uses state-of-the-art deep learning architectures and audio signal processing techniques to analyze canine vocalizations. Our pipeline includes:

  • CNNs (Convolutional Neural Networks) for extracting acoustic patterns
  • RNNs (Recurrent Neural Networks) for understanding temporal dynamics in vocalization sequences
  • Log-Mel spectrograms for robust frequency-time audio representation
  • PCEN (Per-Channel Energy Normalization) for noise-resistant representation

This components work together to deliver an accurate emotion detection.

The models analyze different types of vocalizations including barking, whining, growling, and whimpering, each providing unique emotional cues.

We benchmark our models across multiple test sets, use cross-validation, and continuously retrain the AI with new anonymized samples to maintain accuracy.

Voicari includes noise‑filtering algorithms to reduce the impact of background noise. Still, for best results, record in a quiet environment.

Initial processing happens on the device, but deeper analysis may require an internet connection to access cloud‑based AI resources.

All training data is anonymized, securely stored, and used solely for improving emotion‑recognition performance.

Yes. Voicari is based on a dataset and methodology published and validated through academic research.

While Voicari can detect emotional cues related to stress or discomfort, it is not a medical diagnostic tool. If you suspect your dog is ill, consult a veterinarian.

Join the Waitlist

*Note: This app is in open beta early access