Prescience Insilico is a deep tech company that uses AI and machine learning to accelerate drug and materials discovery and development. The company's platform is designed to streamline the drug and materials discovery processes by integrating data from multiple sources. We aspire to democratize artificial intelligence (AI) augmented computational modeling and simulations for the benefit of the industrial revolution in smart materials/molecules and faster drug development. AI is becoming the 4th pillar of scientific innovation along with experimentation, theory, and modelling (Simulations). The major component of any scientific innovation starts from assumption followed by some early experiments and theory. Fine tuning of these experiments and theory is done through an understanding of the assumption (termed as mechanism) where modelling (Simulations) plays a significant role. In this, scientists are adding AI to the R&D pipeline for a better understanding of data generated from all these theories, simulations and early experiments for better designing their final experiments. At Prescience, we have taken this challenge of integrating all these four pillars through the development of easy-to-use technologies that will cater to the materials and drug industry. One of the key advantages of Prescience Insilico's technology is its ability to analyze large amounts of data and identify patterns that might not be immediately apparent to human researchers. This can help to identify new drug targets and potential drug candidates and potential materials that might be missed using traditional drug and materials discovery methods. Overall, Prescience Insilico is one of many companies that are using AI and machine learning to transform drug and materials discovery and development. Follow us on Twitter @prescience_in
