The Science

At AI For Pet, we use advanced AI and veterinary science to develop innovative solutions for preventive pet care. Our flagship product, TTcare, is backed by years of research and millions of data points, providing reliable, evidence-based health insights.

Our Philosophy

We believe in the power of prevention. Our philosophy centers on providing our users with the tools to manage their pets’ health proactively, combining AI technology with veterinary expertise.  By transforming photos into powerful diagnostic tools, TTcare helps detect potential health issues early, allowing pets to receive timely care.

We’ve partnered with leading veterinary institutions and analyzed millions of data points from around the world. This ongoing work keeps our technology evolving and improving, delivering accurate, actionable insights that make preventive care more accessible and effective for pet parents everywhere.

AI for Pet Team

University Partners

seoul national university
konkuk university
jeju national university
the ohio state university logo

Publications

scientific-reports
ajvr

Artificial Intelligence

At the heart of TTcare’s technology is a highly trained AI system that works using deep learning and convolutional neural networks.

Our AI model has been trained using a vast dataset of over 2.5 million images, collected from veterinary clinics, hospitals, and research institutions globally. Each image is labeled by expert veterinarians to provide the highest level of accuracy and reliability. The model continuously learns and improves as more data is processed, allowing us to detect a wide range of pet health issues with increasing precision.

Validation

TTcare’s AI technology is not only innovative but also backed by scientific validation and recognized within the industry. Created in partnership with leading veterinary experts and veterinary colleges, our models deliver exceptional accuracy and reliability.

We hold several patents for our AI diagnostic tools and are proud to be Korea’s first licensed AI-based veterinary medical device for medical imaging diagnosis. Our research has been featured in peer-reviewed scientific journals, highlighting the proven effectiveness of our approach.

AI for Pet Team Founder

A Deeper Look

At the core of our work is a dedication to providing only scientifically proven, reliable solutions.
TTcare is backed by years of in-depth research and millions of data points, allowing us to provide evidence-based health insights that pet owners and professionals can rely on.

veterinary-labeling

1. Data Collection

We collected data from 12 countries to ensure our dataset includes a variety of pet breeds and health conditions, encompassing images of eyes, skin, teeth and gait.

continious-learning

2. Veterinary Labeling

All images were labeled by certified veterinarians and veterinary colleges, ensuring data quality​.

data-collection

3. Continuous Learning

The AI model is refined with every new image, making the system smarter and more accurate over time​.


Results You Can Trust

Over 90% accuracy

in detecting common issues

95% specificity

in identifying diseases

93% sensitivity

in detecting early-stage issues

Scientific Papers & Patents

Patent-Certificate-for-Corneal-Measurement-Device

Patent Certificate for Corneal Measurement Device

Patent Certificate for Ophthalmic Disease Measurement

Patent Certificate for Ophthalmic Disease Measurement

Patent Certificate for Skin Disease Measurement

Patent Certificate for Skin Disease Measurement

AVMA Article

AVMA Journals Paper

Initial screening for dental abnormalities identified by labial and buccal photographs

article1

Scientific Reports Paper

CNN-based diagnosis models for canine ulcerative keratitis

Article scientific reports 2

Scientific Reports Paper

Developing a diagnosis model for dry eye disease in dogs using object detection

Vet Ophthalmology article

Veterinary Ophthalmology Paper

List of patents

List of AI For Pet patents

medical device registration

Medical Device Registration Certificate

Join us in shaping the future
of pet healthcare