From Digital Twins to AI: Enabling Rapid Development of Scientific Workflows

To help accelerate life science discoveries, the Artificial platform includes a Digital Lab Toolbox with no and low code tools, schedulable Python, and an SDK for custom building blocks and drivers. These tools span all of the core components of lab operations - the people, hardware, and data - so scientists and lab automation engineers can easily digitize their lab setup, SOPs, and entire scientific process. As a result, teams can leverage a cloud-based DevOps platform to rapidly and easily develop their end-to-end workflows. As well, labs now have the digital infrastructure to leverage AI during both workflow development and data analysis. With the Artificial platform, you can leverage AI for co-pilot development of the workflow and seamlessly integrate your workflow data to teach and use AI models directly.