With the mandate of ‘do more with less’, industry and academic partners are seeking to automate and digitalize to increase efficiency and profitability. Automated, self-driving labs are now a reality and are being deployed in various settings, ranging from research and development to quality control. These self-driving labs require a back-end digitalization platform that gathers data, standardizes it and makes it reusable. Our value proposition is unique the ability to offer automation, digitalization and instrumentation under the same umbrella and across the entire value chain.
In drug discovery, with the goals of increasing productivity and decreasing attrition, one of the various workflows that can be automated is the Design, Make, Test, Learn (DMTL) cycle. Below is an example of the implementation of the DMTL cycle.
Design & Learn
Make
Data Platform
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