Applying AI to Drug Discovery
Drug Discovery Suite
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.
Our Approach
At Evariste Technologies we use mathematics to enhance drug discovery. Through machine learning, Bayesian statistics, and game theory we have developed a robust optimization cycle to expedite drug discovery.
Efficiency
Our platform attains high quality candidate compounds in fewer optimization cycles than traditional drug discovery.
Scalability
Our team has multiple ongoing programs with the ability to onboard more, and the potential to scale rapidly.
Speed
Our platform and team accelerates the optimization stage of drug development bringing drugs to market faster.
Expertise
Our multidisciplinary team consists of domain experts motivated to solve problems and advance our projects.
Ongoing Assessment
Our modelling supports ongoing validation feedback to analyse our process, eliminate waste and alert us to project termination criteria.
Value
Our team leverages AI to minimise project costs through buying and testing fewer compounds in development.
Collaborations
The team at Evariste use our drug discovery suite to develop a pipeline of proprietary assets and shared assets with collaborators. If you are interested in accelerating your discovery campaigns using our tools, we have scope to onboard new collaborators.