SirenOpt is accelerating sustainable and smart manufacturing of advanced materials by delivering a manufacturing intelligence platform that uses intelligent characterization and real-time decision-making to drive the creation of innovative, high-performance products that fuel the advancement of society. SirenOpt is pioneering a paradigm shift in materials manufacturing intelligence 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.
SirenOpt was founded in 2022 as a spin-out from the UC Berkeley Chemical Engineering Department. SirenOpt is supported by the UC Berkeley Skydeck, Lawrence Berkeley National Laboratory Cyclotron Road and Activate science-driven startup accelerator programs.
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