RMX therapeutics

Closing the gender health gap & beyond

Deep Maths & Physics to solve global health challenges

Random Matrix (RMx): .

A mathematical theory that seems to explain them all, from burgeons’ distribution on a branch to active site’s distribution in protein. Nature becomes limpid through the lens of random matrix theory.

Repère mobile (RM):

French for “moving frame”, a poetic mathematical notion explaining rotation in protein backbone free energy. Both lie at the heart of the technology we are building

Nicolas Lopez

Nicolas LOPEZ

PhD, AI Lead & CEO, Mathematics applied to physics & AI 4 patents.

Yves Lepelletier

Yves LEPELLETIER

PhD, Biologist, Head of Drug Discovery. Neuropilin pioneer, International Grant Referee, International Journal Referee, member of European Commission as expert, 100 articles, 8 patents.

Robert Penner

Robert PENNER

PhD CSO World-class mathematician Protein free energy

Jean Gogusev

Jean GOGUSEV

MD PhD Women pathologies Endometriosis expert, 86 papers, 2 patents

Frédéric Lalande

Frédéric LALANDE

COO Serial entrepreneur, co-founded a multi-country group from scratch, with 9 companies.

Matthieu D'Alba

Matthieu d'Alba

Chief of Staff BPI, Bank, Gov

PHILOSOPHY

We envision a world where deep tech & AI are at the service of human progress
Gender equality, Sustainability, Overlooked population, Fight against pandemics

The gender health gap holds the entire world back

Globally, women lose 76m of years of life, every year, as opposed to men. Closing the gap could add $1 trillion to the world GDP by 2040.

Time, cost & lack of data deter investment in overlooked female specific-diseases, among others

1% of R&D funding goes to female-specific diseases, $1bn Investment Average amount to develop a new drug, 5 years Average time to find a lead

Breakthrough science for healthcare’s next era

Instant target identification, Advanced generative AI, AI Error correction

Our platform demonstrates unrivaled performances

Active site prediction The Holy Grail of molecular biology. In just ms, we can predict where protein active sites are located. And we never miss Breakthrough generative AI, We generate antagonist lead compounds matching promising active sites, with less compute, more speed & more accuracy AI-hallucinations correction, Our maths unveil the deep machinery of multi-layers neural networks. We aim to reach nearly total reliability in silico

Get in touch

If you want know more on RMX Therapeutics, give us a message and follow us on linkedin