UK-based pet life science company Loyal Hound & Co. has announced the construction of the world’s largest pet longevity research database, having secured life data from one million pets worldwide. The database is built on a vast collection of data sourced from nine countries across Europe, North America, and Asia.
It integrates and structures individual-level data for each pet, including genetic information, medical history, dietary and behavioral patterns, caregiver management habits, and environmental factors. A key feature of the database is the inclusion of lifetime health records based on genomics for over 100 dog and cat breeds, making it a precise observational dataset rather than simple statistical information. As such, it is considered a core infrastructure for AI-powered longevity prediction algorithms and personalized pet healthcare technologies.
Loyal Hound is currently analyzing the data to identify lifespan risk factors and disease patterns by country, breed, and environmental condition. Based on these insights, the company is advancing the development of customized animal formulas, commercializing AI-driven early diagnosis technologies, and refining individualized longevity prediction solutions.
The database also includes machine learning-based variables such as behavioral videos and biometric signals, paving the way for an integrated precision pet healthcare platform encompassing diagnosis, prediction, and treatment.
Loyal Hound stated that this longevity research database marks a turning point from intuition-based pet health management to a new era of data-driven scientific life planning, adding that it has secured the foundation to deliver personalized longevity management solutions to pet owners worldwide.
Based on this achievement, Loyal Hound plans to launch an open platform for its longevity prediction algorithm in 2026, release three new animal formula products, and begin beta testing of its AI early diagnosis solution. The company is also expanding its global partnerships with institutions such as the University of Oxford, Boston in the United States, and Heidelberg in Germany.
