Applying AI to Drug Discovery
Evariste Technologies aims to increase productivity in drug discovery using automated molecular design, integrating bespoke modelling solutions into its proprietary software platform to perform molecular evolution. Using multiobjective optimization scoring functions Evariste is able to arrive at candidate molecules more quickly than the traditional design cycle.
Drug Discovery Suite
At Evariste Technologies we use mathematics to enhance drug discovery. Using machine learning, Bayesian statistics, and game theory we have developed a robust optimization cycle to expedite drug discovery.
Our platform attains high quality candidate compounds in fewer optimization cycles than traditional drug discovery.
Our modelling supports ongoing validation feedback to analyse our process, eliminate waste and alert us to project termination criteria.
Our multidisciplinary team consists of domain experts motivated to solve problems and advance our projects.
Our platform and team accelerates the optimization stage of drug development bringing drugs to market faster.
Our team has multiple ongoing programs with the ability to onboard more, and the potential to scale rapidly.
Our team leverages AI to minimise project costs through buying and testing fewer compounds in development.