Better Predictions for Drug Discovery and Development
Pharmaceutical R&D is fraught with expensive failures. By predicting better and earlier which paths are more likely to lead to successful medicines, we can avoid many of the dead ends and deliver better medicines to the patients who need them.
Integrating Machine Learning and Biology at Scale
We believe that explicitly trained models will outperform intuition. We are tackling challenges across R&D where machine learning and modern biological tools can be combined to train truly enabling predictive models.
True Collaboration
Across Disciplines
Our team integrates the languages of biology and machine learning. insitro scientists, engineers, and drug hunters work together to generate and leverage data today to advance tomorrow’s medicines. Join us!
Reimagining Drug Discovery and Development
We don’t expect machine learning to be the solution to all problems in R&D, but we do believe it’s time to bring new and powerful tools to the process by which we discover and develop new drugs. Over time, we aim to become the first truly data-driven, integrated, drug discovery and development company.