Owners may be able to identify health problems sooner because Hoomanely has combined a sensor-packed feeding station with an AI platform that watches for departures from each dog’s normal patterns. The EverBowl captures food and water intake, eating speed, chewing and swallowing sounds, facial thermals and oral motions, and feeds that stream into an algorithm that builds a personalized health record.

The platform establishes a baseline from that data and then surfaces prolonged changes to owners through a mobile app and long-term reports. The app also accepts owner-provided information so the baseline can include events the sensors do not see. Hoomanely says those reports can be shared with veterinarians to give a clearer history if clinical attention becomes necessary.

“Practically, the bowl is the best capture environment in a pet’s life: same place, same posture, same routine, twice a day, for years,” Sai Supriya Sharath, co-founder and CEO of Hoomanely, told TechCrunch. She added that appetite, hydration and oral comfort are among the first things to change when animals suffer from pain, dental disease, tummy issues, endocrine shifts or infection. “Dogs are evolved to mask lethargy and limping. They are far less able to mask how they eat and drink … reduced or altered intake and changed drinking are presenting signs across a wide range of conditions,” Sharath said.

Hoomanely built the system across an 18-month beta during which it collected about 5 million data points from more than 80 dogs. The company says the platform flagged a pattern that led an owner to find a chipped, infected tooth in one dog, and in another case a sustained change from baseline prompted a vet visit and a tick fever diagnosis.

The results are promising but limited. The beta cohort was small and Hoomanely has shipped roughly 50 devices so far. The EverBowl and its reporting tools sit behind a $29-per-month subscription. The startup also acknowledges it does not yet have independent measures for sensitivity, specificity or false-positive rates tied to clinical diagnoses, a gap Sharath says the company intends to close with formal studies. “The veterinary studies being designed will measure sensitivity, specificity, positive predictive value, and false positives for each alert category, and we intend to report results by use case rather than as one headline number,” she said.

Beyond the bowl, Hoomanely plans additional hardware and integrations. EverSense is slated to be a wearable for movement and rest, and EverHub will accept inputs from third-party collars, feeders and home devices to record environmental data. The company says its long-term aim is to become an animal health data business serving research, nutrition and insurance firms, and to extend the platform beyond dogs to other animals such as cats, livestock or horses.

Hoomanely has raised $1.8 million in pre-seed funding and is starting conversations about a seed round. The next material steps for the company are the veterinary studies and broader device deployment, which will determine whether the EverBowl’s early signals translate into reliable clinical tools and a sustainable data-driven business.