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’s differentiation lies in its affinity prediction both accurate and 10 000x faster than competition, enabling us to efficiently guide our generative AI towards compounds with better chances to become drugs.
Aqemia is a spin-off of the École Normale Supérieure Paris leveraging disruptive algorithms based on 8 years of research. Aqemia’s team is composed of a dozen high profiles at the crossroads of Medicinal Chemistry, Statistical Mechanics and Artificial Intelligence.