Root causes,
written in your iris
IRIDO reads high-resolution photos of your irises and palms to surface what's really behind your health issues — so you can fix the source, not treat symptoms.
Two sets of photos. One clear picture.
Photograph
Take close-up photos of both irises — plus your palms for the full picture. A phone camera is enough. A few basics like age, sex and health history sharpen the reading.
Analyze
Dedicated ML models segment your iris, unwrap it, and map every fiber onto a body chart.
Understand
You receive a visual, zone-by-zone report pointing at the root causes worth addressing.
Not a list of symptoms — a map of causes
Root causes to address
Where toxic load actually sits, which body areas it affects, and what to tackle first — instead of chasing surface symptoms.
Cellular vitality, zone by zone
Fiber straightness, thickness and density read as a per-zone vitality score across your whole body map.
Your true eye color
There are only two: blue and amber. See which one lies underneath — and which accumulated overlays are masking it.
Change over time
Re-scan months later and watch signs recede as root causes are actually resolved.
Cutting-edge, dedicated ML algorithms
Trained on thousands of real iris readings. Purpose-built models find your iris, unwrap it into a precise body map, and read the fiber structures and pigments within every zone.
General-purpose AI like ChatGPT or Claude fails miserably at iridology — it was never designed for it. Reading an iris takes models built for exactly this task.
A century of practice, distilled
Aajonus Vonderplanitz — primary interpretation framework
Bernard Jensen — Iridology: The Science and Practice, Vol. 2
Dorothy Hall — Iridology — the European constitutional school
Denny Ray Johnson — What the Eye Reveals — the Rayid model
Sarah Donoghue — Modern Iridology (2023)
Peer-reviewed papers — published iris-analysis studies