Aqemia is an in silico drug discovery start-up, whose ambition is to discover rapidly more innovative therapeutic molecules with better chances of success.

How? Just like an AI can learn to play chess, Aqemia’s generative AI learns to invent relevant compounds thanks to unique Statistical Mechanics algorithms predicting drug-target affinity among other properties. Aqemia differentiation lies in its affinity prediction both accurate and 10 000x faster than competition, enabling efficient guidance of generation towards compounds with better chances to become drugs.

Aqemia is a spin-off of École Normale Supérieure leveraging disruptive Quantum-inspired Statistical Mechanics algorithms from 8 years of research. Aqemia’s team is composed of high profiles at the crossroads of Medicinal Chemistry, Statistical Mechanics and Artificial Intelligence.