Discover Your Pet's Perfect Solution

Combining genetic data with microbiome data reveals genetic risks and breed characteristics, reflecting the microecological health of the gut, skin and other parts. Multi-modal data integration can predict a wider range of diseases, including digestive system diseases, metabolic diseases, immune-related diseases, skin diseases, and more.

Collaborating with veterinary hospitals to combine electronic medical records with genetic and behavioral data provides a more accurate understanding of your pet's genetic background, including disease susceptibility, drug response, and other potential risks.

Through genome-wide association studies (GWAS) and deep learning models, we accurately predict the risk of common pet diseases. By combining pet genetic testing data with machine learning models, we improve the prediction accuracy for various diseases.

Using wearable devices and environmental monitoring, we collect real-time physiological data from pets, analyze the data through AI models to identify abnormal patterns and issue alerts.

By training large language models, we achieve interactive dialogue that transforms complex genomic data, physiological indicators, or behavioral analysis results into easy-to-understand language. Users can inquire about the specific meaning of test results through conversation and receive immediate answers.

We provide detailed behavioral and environmental survey questionnaires along with image and audio upload platforms, allowing pet owners to comprehensively provide pet information, including images, surveillance videos, electronic device monitoring data, etc. AI models integrate and analyze various types of data to provide more personalized and accurate prediction results and health recommendation plans.