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.
Digitalizing and Automating the DMTL cycle
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. Here is an example of how SciY can enable the implementation of the DMTL cycle.
Augmented by automation and digitalization, scientist are empowered to challenge and widen the traditional experimentation space which will ultimately lead to new synthetic routes and novel molecules.
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