PetPace Advances Proactive Pet Healthcare with AI-Powered Monitoring
By combining continuous physiological monitoring with AI-driven insights and access to veterinary guidance, PetPace aims to identify potential health concerns before visible symptoms appear. As pet healthcare shifts toward early detection and preventive care, continuous health monitoring is proving to be a valuable tool for spotting meaningful changes in a pet’s condition that might otherwise go unnoticed.
PetPace has developed an AI-powered wearable collar that tracks vital signs, activity, sleep, and other physiological indicators. The system emphasizes individual baselines — learning what is normal for each animal and alerting pet parents and veterinarians to deviations that matter. Through distribution on Chewy and integration with veterinary services, PetPace is positioning its technology to make proactive pet health monitoring more accessible for everyday pet owners.
In an exclusive conversation with AI Reporter America, Daniel Galitzky, Head of Software and Hardware Development at PetPace, explained how AI-driven wearables are advancing pet health monitoring, the technical and clinical challenges of delivering reliable insights, and the potential for continuous data to transform preventive veterinary care.
1. What drove PetPace to advance AI-powered pet health monitoring through Chewy?
The decision to partner with Chewy was driven by reach and context. Chewy is already a primary destination for pet parents seeking supplies and services, and it is expanding into healthcare. The company’s broader healthcare strategy includes the acquisition of Modern Animal, a veterinary platform that operates clinics, offers 24/7 virtual care, and uses membership models to improve access. A health-monitoring collar aligns naturally with that ecosystem because it can feed continuous, actionable data into the broader care experience.
As PetPace’s CEO, Gil Shetrit, noted, the launch through Chewy “brings our technology to millions of pet parents who already turn to Chewy,” and moves the company closer to the goal of making proactive pet healthcare readily available to more households. By placing a monitoring device in the hands of pet owners who are already invested in their animals’ wellbeing, PetPace aims to bridge the gap between everyday care and timely clinical intervention.
2. How does PetPace use AI to track pets’ vital signs and detect potential health changes?
The PetPace collar uses a suite of non-irradiating, non-invasive, passive sensors to capture a range of physiological signals. These sensors monitor pulse, respiration, temperature, and heart rate variability, while also measuring activity levels, sleep patterns, caloric estimates, posture, and other behavioral and physiological markers. The core role of AI in this system is to learn each pet’s unique physiological baseline over time.
Once the system understands what is normal for an individual animal, it can identify sustained deviations that may indicate stress, pain, illness, or other health issues. For example, a consistently elevated resting pulse, abnormal respiration trends, or significant shifts in heart rate variability (HRV) can all be meaningful when viewed against a pet’s baseline. The key is context: single readings are rarely informative by themselves, but longitudinal patterns reveal meaningful signals.
AI models focus on filtering normal variation from clinically relevant change, reducing false alarms while highlighting trends that warrant attention. That allows pet parents and veterinarians to prioritize follow-up, triage care needs, and consider early interventions that could prevent more serious outcomes.
Benefits, challenges, and the path forward
Continuous monitoring offers several clear benefits: it extends observation beyond the clinic, improves the odds of early detection, supports at-home care decisions, and strengthens the veterinarian-client relationship by providing objective data. Practical challenges include ensuring sensor reliability across breeds and coat types, validating clinical relevance, maintaining data privacy, and integrating alerts into veterinary workflows without overwhelming clinicians.
PetPace’s approach — combining wearable sensors, AI that personalizes baselines, and connections to veterinary care — aims to address these challenges while making preventive monitoring accessible on platforms pet parents already use. As more longitudinal data accumulates and clinical validation grows, continuous physiological monitoring has the potential to become a routine part of preventive veterinary care, helping pets live healthier lives with earlier intervention when problems emerge.
Read the full interview coverage with PetPace and learn more about how AI-driven wearables are shaping the future of pet health monitoring.