
BiKi Technologies, founded in May 2014 as a spin-off of Istituto Italiano di Tecnologia (IIT), provides the pharmaceutical and biotech industries with innovative computational tools based on molecular dynamics. Their solutions focus on early prediction of binding kinetics and improving drug design through advanced algorithms for molecular dynamics simulations, enhanced sampling for free energy and kinetics estimations, koff prediction, and full flexibility in protein-ligand binding. BiKi Technologies also develops clustering tools based on machine learning. The company aims to address key challenges in computational drug design, making simulations more efficient and actionable for medicinal chemists.

BiKi Technologies, founded in May 2014 as a spin-off of Istituto Italiano di Tecnologia (IIT), provides the pharmaceutical and biotech industries with innovative computational tools based on molecular dynamics. Their solutions focus on early prediction of binding kinetics and improving drug design through advanced algorithms for molecular dynamics simulations, enhanced sampling for free energy and kinetics estimations, koff prediction, and full flexibility in protein-ligand binding. BiKi Technologies also develops clustering tools based on machine learning. The company aims to address key challenges in computational drug design, making simulations more efficient and actionable for medicinal chemists.