SyntheticGestalt creates tools and methods for applied machine learning-based drug discovery that are aimed at streamlining and automating research in the life sciences sector. The company's synthetic biology simulation models can accurately predict the outcomes of various amino acid arrangements without having to perform time-consuming experimental steps, helping pharmaceutical companies by automating and accelerating the drug development process. Preclinical candidates are chemical compounds discovered through research that have the potential to become new drugs for the treatment of a particular disease.