but preferred drinking wine." Gery Pollet, senior & junior
A computer scientist's tribute
As a computer scientist, I struggle with the idea that 0+0 can equal 733 — in homeopathy, substances are diluted so many times that past Avogadro's number, not a single molecule of the original substance remains. And yet it is claimed to work.
My father, Gery Pollet senior, was a physician and a well-known homeopath with almost 50 years of homeopathic experience. After he passed away, I wanted to do something with the knowledge he left behind. Not as a physician — I'm not one — but as a computer scientist, with the tools I know.
simili.ai combines 200 years of homeopathic documentation with three independent analytical methods — Bayesian statistics, pattern recognition, and AI clinical reasoning. The system does not take a position on the mechanism of homeopathy. It does one thing: based on symptoms, find the most likely remedy, using the same mathematical methods used in evidence-based medicine.
The name Aquanta was born from a fascination with water. My father and I shared a deep curiosity about water's strange physical characteristics — its anomalous density curve, its unexplained heat capacity, its behaviour at the quantum level. That curiosity led me to a hypothesis: The Elephant in the Water, which explores whether water's quantum properties could play a role in biological information transfer. The hypothesis is speculative and unproven, but the questions it raises are real — and they are what gave this project its name. Read the hypothesis →
What drives this project
Honesty
We are transparent about what simili.ai is and what it is not. It is a statistical tool, not a medical device. We do not make therapeutic claims.
Rigour
The triple ensemble combines statistical inference, concept pattern matching, and AI clinical reasoning — validated on hundreds of blind-tested cases from peer-reviewed journals.
Accessibility
200 years of homeopathic knowledge should not be locked in dusty books. simili.ai makes it searchable, queryable, and usable — in any language.
Curiosity
What if we could test 200 years of clinical observations against modern data science? That question started everything.