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SirenOpt Raises US$6.6M Funding Round

Leveraging the Incredibly Rich Nature of
Cold Atmospheric Plasma

Cold Atmospheric Plasma induces synergistic electrical, thermal and chemical interactions to reveal deep insights into the material’s characteristics.

Recording the Material Interactions
with Multiple Detectors

Spectrometry

Thermal Response

Electrical Characterization

Interact

Record

Compute

Report

Plasma
Sens™

Record raw data from multiple detectors

PlasmaSens reports all the desired critical properties in parallel and in real time

• Thickness

• Resistivity

• Density

• Mass Loading

• Coating Defects

• Chemical Composition

• Contaminate Identification

• QC-Relevant Classifications

And “limitless” other material properties can also be possible

Optical Emission Spectra

Electrical Characteristics

Thermal Response

Interactions

Extract Key Data Features

An internal model is pre- calibrated with reference measurments

Computes all material properties of interest at once.

R&D and Manufacturing Analytics that
Run Broad and Deep

Leverage Raw Data to Identify Unexpected Material Variations

Spectrometer Data

Thermal Data

Electrical Data

Use Discrimination Models to Classify Performance

Contaminate
Identification

Performance
Clustering

Performance
Classification

Deploy Regression Models to Report Results in Real Time

Relative Composition

Thickness

Resistivity

Gain Actionable Insights from Each Stage of Production

Fully Automated Model Calibration

Raw Data Collected
From Multiple Detectors

Automated Feature
Extraction
‍

Calibration to Multiple Properties
‍

Software Tools that Simplify Extensive Data Analysis

Enabling Users to Create, Test and Optimize
Specific Measurement Models for Each Application