Hoomanely, a new startup based in Palo Alto, has launched an AI platform paired with a smart feeding bowl, named EverBowl. This system aims to help dog owners identify potential health issues in their pets earlier than traditional observation methods. The EverBowl is equipped with sensors that collect various data points related to a dog's eating and drinking behavior.
The EverBowl measures food and water consumption, eating speeds, and records chewing and swallowing sounds, facial thermals, and oral motions. Hoomanely's AI platform processes this data to establish a baseline for each dog's normal behavior. The system then builds a health record, and any prolonged departures from this baseline are communicated to the pet owner via a dedicated app and through long-term reports. Owners can also input additional information into the app to keep the baseline updated.
According to Sai Supriya Sharath, co-founder and CEO of Hoomanely, the feeding bowl provides an optimal environment for consistent data capture. She noted that appetite, hydration, and oral comfort are often the first indicators of underlying health problems such as pain, dental disease, gastrointestinal issues, or other illnesses. Dogs are less able to mask changes in their eating and drinking patterns compared to other symptoms like lethargy or limping.
Hoomanely's platform underwent an 18-month beta-testing phase, during which it collected approximately 5 million data points from over 80 dogs. During this period, the system reportedly detected changes in a dog's eating patterns that led to the discovery of a chipped tooth. In another instance, the app indicated sustained changes in a dog's eating and temperature baselines, prompting the owner to seek veterinary care, which resulted in a tick fever diagnosis. The company has shipped about 50 devices to date.
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Hoomanely, a Palo Alto startup, introduced an AI platform and a smart feeding bowl called EverBowl designed to detect early signs of illness in dogs by monitoring their eating and drinking habits. The system analyzes data from sensors in the bowl to establish a health baseline and alerts owners to significant deviations, providing data that can be shared with veterinarians.