A platform-based approach that provides scalability and flexibility via cloud-native architecture and step-by-step automation:

• API connectivity enables seamless interaction between informatics systems and instruments
• Experimental data is automatically collected, harmonized, and prepared for query 
• Complex, multi-step processes are triggered to expedite workflows and provide a continuous experiment design feedback loop
• Near-real-time results allow for advanced data science, like AI/ML and other computation, to be applied at any step of the end-to-end data flow

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