Drug discovery is a lengthy and costly process affected by a high attrition rate. The revolution in experimental sciences brought about by HTE, cloud labs and lab automation should represent an excellent opportunity to completely transform drug discovery and overcome the serious problems that hinder the process. But this transformation will not be possible without the right tools to harness the valuable information hidden in the profusion of data generated by these new disciplines. Artificial intelligence (AI), and its multiple applications, are the key to achieve such a challenging goal and many pharma companies are now using AI to improve the performance of every step of the drug discovery process. As a company fully committed to creating a new collective intelligence that enables wiser medicine, we are developing new tools to improve drug discovery performance based on a novel, circular paradigm for the process. Such a paradigm leverages the value of the information generated at each stage to feed the others, regardless of their relative position in the cycle. We believe that, through this cyclical process strategy, our AI tools will contribute to the necessary disruption in drug discovery.