Gunnar Berger previously led Product for Amazon’s A to Z Developer Platform - the identity, API, and agentic AI layer connecting every internal app across Amazon. Before that: CTO of Desktops & Apps at Citrix, Research Director at Gartner, and founder of Nvision Networks (acquired).

And while Gunnar once managed IT at a UGA veterinary hospital, his wife and co-founder Dr. Samee Berger runs the OR - serving as Head Veterinarian at the hospital they own. Over the years, they’ve watched clinics lose thousands from missed radiograph reads, a problem made worse by the fact that most don’t have a radiologist on staff.

Their product screens every radiograph in under 5 seconds, flagging 99.8% of fractures and abnormalities before a vet reads it. Trained on 5M+ annotated veterinary images, it plugs into existing PACS/DICOM systems and allows one-click escalation to a board-certified radiologist when the AI detects ambiguity.

Human medical imaging AI requires FDA 510(k) clearance - years of trials and millions in cost. Veterinary AI has no equivalent hurdle. Same core vision models, real clinical value, far less friction. Vet care becomes a natural proving ground for medical AI to ship first.