SirenOpt is accelerating sustainable and smart manufacturing of advanced materials using intelligent characterization and real-time decision-making to drive the creation of innovative, high-performance products that fuel the advancement of society. SirenOpt was founded in 2022 as a spin-out from the UC Berkeley Chemical Engineering Department. SirenOpt is pioneering a paradigm shift in advanced materials characterization by leveraging cold atmospheric plasma, machine learning and predictive analytics to non-destructively create a uniquely distinctive, multifaceted material fingerprint in real-time. SirenOpt transforms measurement blind spots into rich multi-layered material insights, which enable intelligent performance-centric decision-making. SirenOpt thus accelerates R&D and process optimization, enhances product performance, and delivers higher production quality to maximize value in both in-line and off-line applications. SirenOpt’s manufacturing intelligence platform has demonstrated use cases across battery, aerospace, semiconductor, electronic and many other advanced manufacturing segments in both inline production and offline tool deployments.
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