PetVetAI, Pet Madness launch AI animal monitoring platform
PetVetAI LLC and Pet Madness Inc. have commercially launched an AI platform that analyzes video and images from cameras and smartphones to monitor animal health, behavior and movement. The system is already processing more than 10,000 submissions a day and is being positioned for use by pet owners, veterinarians, livestock operators and wildlife observers. Why it matters: - Pet owners, veterinarians and animal-care operators now have a new AI tool designed to document health changes between visits and around the clock. - The platform is aimed at earlier detection of issues such as seizures, mobility changes, digestive concerns and other visible warning signs. - The companies are also pitching the system for livestock, wildlife and commercial animal-care settings, broadening its potential use beyond household pets. What happened: - PetVetAI LLC and Pet Madness Inc. announced the commercial launch of an AI-powered animal observation platform. - The platform analyzes video and images from smartphones, home cameras, smart doorbells and connected camera systems. - Users can upload media directly, and approved connected camera systems can also send video with user authorization. - The launch covers companion animals, livestock, wildlife, veterinary practices, boarding facilities, pet-friendly lodging, rodeos, stock shows and other animal-care environments. The details: - The platform generates AI-assisted health observation reports in near real time. - Reports are designed to help document behavioral, mobility, digestive and visual health indicators over time. - The system can share reports with veterinarians or pass structured data through APIs to veterinary practice management and client management systems. - PetVetAI says the platform has processed more than 161,997 scan events across 25 U.S. states. - The platform currently handles more than 10,000 video and image submissions per day. - Supported observation areas include multi-species analysis for dogs, cats, birds, fish, reptiles, livestock, farm animals and other species. - Other capabilities include digestive and stool observation, gait and posture assessment, behavior and feeding monitoring, sleep tracking, skin and coat observation, wound and seizure observation, vomit events and respiratory indicators. - The platform also supports wildlife observation and species identification. - Pet Madness Inc.’s AWS-based enterprise data lake was developed with engineering support from Caylent and Inwork. - Pet Madness Inc. said the platform includes enterprise data lake indexing for structured and searchable observational data. - Pet Madness Inc. also said clients get VIP access to All Pet Places as part of the package. Between the lines: - The product is being framed as veterinary support infrastructure, not a replacement for a clinician. - The company is leaning on consumer camera hardware and existing workflows, which could lower adoption barriers for pet owners and facilities. - Alexa Elliot said the platform was inspired by the loss of a family dog to undetected seizures and was built to support continuous observation between veterinary visits. - The stated goal is to help owners and professionals spot possible health changes earlier. What’s next: - PetVetAI says future development plans include automated observation workflows, health timeline organization, anomaly detection and expanded reporting tools. - Those additions are intended to support ongoing monitoring for animal owners and veterinary professionals. The bottom line: - PetVetAI and Pet Madness are trying to turn ordinary cameras into a continuous animal health monitoring network with AI-assisted reporting and veterinary integrations.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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