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