IrisAthena: AI consultation intelligence for aesthetic care

I built IrisAthena after years of seeing the same problem in aesthetic and dental consultations: patients and professionals can look at the same face and still be talking about different things. Most tools in this space focus on simulation, beauty scoring, or isolated measurements. I wanted to build something different — a structured visual starting point for the consultation itself. IrisAthena turns a short standardized facial capture into structured consultation intelligence: measurable facial relationships, visual context, reliability and uncertainty signals, and areas that still require professional review. It does not diagnose, prescribe treatment, or decide what someone should change. The goal is to help the patient and professional look at the same information before making decisions. I’m a dentist and aesthetic clinician, and IrisAthena grew directly from problems I’ve experienced in real consultations. I’d especially love feedback from clinicians, healthcare founders, and AI builders: Where do you think structured visual intelligence could add the most value in the consultation workflow?