A company that provides optical sensing solutions for manufacturing workflows, focusing on non-destructive, multi-layered materials characterization and uniformity mapping.

SirenOpt

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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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.

Visionaries Tomorrow

Voyager Ventures

Seed Round - SirenOpt

Pre Seed Round - SirenOpt

Oakland

California

United States

North America

Climate: 🚛 All the Range

Startup SirenOpt closed a $6.6M seed round to bring its factory sensing tech to market

SirenOpt Closes $6.6M Seed Financing Round

A real-time, non-destructive measurement system for multiple material properties, enabling comprehensive quality control and process optimization directly on the production line.

An off-line tool for creating detailed material fingerprints in real-time, transforming measurement blind spots into actionable insights for R&D and quality control.

A platform that collects and analyzes critical manufacturing data using cold atmospheric plasma and machine learning to improve material quality and reduce variability in real-time.

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SirenOpt