SirenOpt Analysis: $17M Raised
What is SirenOpt?
Non-destructive real-time material fingerprinting with cold atmospheric plasma and AI
Location
Oakland, United States
Employees
11-50
Founded
2022
Product Features & Capabilities
- PlasmaSens Standalone for benchtop material analysis
- PlasmaSens Piece to Piece for inline robotic inspection
- PlasmaSens Roll to Roll for continuous roll-based production monitoring
Use Cases
Measure silicon wafer thickness and chemical composition in real-time; Detect defects in battery electrode coatings; Monitor thermal barrier coating microstructure on jet turbine blades; Classify polymer film contaminants in medical devices; Verify SiO2 TeOS layer uniformity in semiconductor fabrication
Other Considerations
Awarded $2.4M in BRIDGE funding by California Energy Commission; Developed from UC Berkeley Chemical Engineering Department; Supported by UC Berkeley Skydeck and Lawrence Berkeley National Laboratory; Validated in battery, semiconductor, and aerospace production environments
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