I moved to Dubai at the start of 2025 and met the founders around May. They brought me in as CTO to make the AI side of the vision real. By Q4 that year we had launched a dog-health app. The closest analogy is a Whoop-style health companion, but for your dog, with an AI health assistant as the hero feature.
The assistant reads your dog's health data and vet reports, tracks their health over time, and answers the questions that otherwise keep you up at night. It also produces a vet-friendly report. That is the part I did not expect to matter as much as it does: a summary of everything the app knows about your dog, in a form a vet can actually read during the appointment.
Esther and I have three Yorkies. So when I met Panio's founders at a dinner in Dubai and heard what they were working on, it stopped being an abstract opportunity somewhere around the starter. They were a biotech company trying to get a longevity drug for dogs to market. They wanted someone to build the AI side of it.
Being genuinely useful without ever pretending to be a veterinarian. Advice that over-reaches is dangerous; advice that under-reaches is useless. For higher-stakes responses and health-data analysis we do not lean on one model. We use medically tuned models and then compare outputs across several in a champion-style review. That improves the answer. It does not establish medical truth, and the product is built to respect that difference.
Live on iOS and Android. Amanda, one of our own dogs, had a recurring skin irritation, Esther photographed it, asked the assistant, and later took her in with Panio's vet-friendly report in hand. The vet had her history summarised and prescribed a topical cream. That is the intended shape of it: better-prepared appointments, not replaced ones.