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IrisAthena
AI consultation intelligence for aesthetic care
IrisAthena turns a standardized facial video into structured consultation intelligence for aesthetic and dental care. Instead of beauty scores or treatment recommendations, it organizes measurable facial relationships, visual context, reliability/uncertainty signals, and clinician-review points into one report. It is designed to create a clearer shared starting point between patient and professional before decisions are made.
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?
About IrisAthena on Product Hunt
“AI consultation intelligence for aesthetic care”
IrisAthena was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. IrisAthena turns a standardized facial video into structured consultation intelligence for aesthetic and dental care. Instead of beauty scores or treatment recommendations, it organizes measurable facial relationships, visual context, reliability/uncertainty signals, and clinician-review points into one report. It is designed to create a clearer shared starting point between patient and professional before decisions are made.
On the analytics side, IrisAthena competes within Health & Fitness, SaaS and Artificial Intelligence — topics that collectively have 602.8k followers on Product Hunt. The dashboard above tracks how IrisAthena performed against the three products that launched closest to it on the same day.
Who hunted IrisAthena?
IrisAthena was hunted by Naela Aldoghmi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of IrisAthena including community comment highlights and product details, visit the product overview.
Naela Aldoghmi