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SirenOpt develops a manufacturing intelligence platform that uses cold atmospheric plasma, physics-informed machine learning, and predictive analytics to provide manufacturers with real-time insights into micro- and nano-materials during production. Their technology aims to reduce variability, increase yield, and improve the performance and safety of critical materials used in sectors like batteries, computer chips, and aircraft components. SirenOpt's platform can be deployed as a standalone tool or integrated into factory production lines and is currently being used by major industrial manufacturers globally.