SirenOpt

About SirenOpt

SirenOpt utilizes cold atmospheric plasma and physics-informed machine learning to provide real-time, non-destructive measurement of multiple material properties for nanoscale materials in semiconductor and aerospace manufacturing. This technology addresses the limitations of traditional methods by delivering comprehensive material insights that enhance quality control and optimize production processes.

```xml <problem> Traditional methods for measuring material properties in nanoscale manufacturing are often destructive, time-consuming, and limited to measuring a single property at a time. This makes real-time quality control and process optimization challenging, hindering the production of advanced materials in semiconductor and aerospace manufacturing. </problem> <solution> SirenOpt provides a non-destructive, real-time measurement solution for multiple material properties using cold atmospheric plasma and physics-informed machine learning. Their PlasmaSens™ technology creates multifaceted material fingerprints instantly, enabling comprehensive material insights for enhanced quality control and optimized production processes. This approach transforms costly destructive measurements into continuous non-destructive measurements, adding measurement variety to better track a material's functional properties on the production line. SirenOpt's technology accelerates R&D, enhances product performance, and delivers higher production quality in both in-line and off-line applications. </solution> <features> - Non-destructive measurement of multiple material properties in real-time - Cold atmospheric plasma technology for material characterization - Physics-informed machine learning for data analysis and interpretation - PlasmaSens™ platform for in-line and off-line applications - Ability to measure wafer-to-wafer, piece-to-piece, sheet-to-sheet, and roll-to-roll - Transforms measurement blind spots into rich multi-layered material insights </features> <target_audience> SirenOpt's primary customers are companies and startups in semiconductor, aerospace, lithium-ion battery, nickel-zinc battery, electronics, industrial separations, medical devices, packaging, industrial glass, and other industries involved in advanced materials manufacturing. </target_audience> ```

What does SirenOpt do?

SirenOpt utilizes cold atmospheric plasma and physics-informed machine learning to provide real-time, non-destructive measurement of multiple material properties for nanoscale materials in semiconductor and aerospace manufacturing. This technology addresses the limitations of traditional methods by delivering comprehensive material insights that enhance quality control and optimize production processes.

When was SirenOpt founded?

SirenOpt was founded in 2022.

How much funding has SirenOpt raised?

SirenOpt has raised 6600000.

Who founded SirenOpt?

SirenOpt was founded by Paul Straub and Ali Mesbah.

  • Paul Straub - Founder
  • Ali Mesbah - Co-founder
Founded
2022
Funding
6600000
Employees
33 employees
Major Investors
Visionaries Tomorrow, Voyager Ventures
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SirenOpt

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

SirenOpt utilizes cold atmospheric plasma and physics-informed machine learning to provide real-time, non-destructive measurement of multiple material properties for nanoscale materials in semiconductor and aerospace manufacturing. This technology addresses the limitations of traditional methods by delivering comprehensive material insights that enhance quality control and optimize production processes.

Funding

$

Estimated Funding

$6.6M+

Major Investors

Visionaries Tomorrow, Voyager Ventures

Team (30+)

Paul Straub

Founder

Ali Mesbah

Co-founder

Company Description

Problem

Traditional methods for measuring material properties in nanoscale manufacturing are often destructive, time-consuming, and limited to measuring a single property at a time. This makes real-time quality control and process optimization challenging, hindering the production of advanced materials in semiconductor and aerospace manufacturing.

Solution

SirenOpt provides a non-destructive, real-time measurement solution for multiple material properties using cold atmospheric plasma and physics-informed machine learning. Their PlasmaSens™ technology creates multifaceted material fingerprints instantly, enabling comprehensive material insights for enhanced quality control and optimized production processes. This approach transforms costly destructive measurements into continuous non-destructive measurements, adding measurement variety to better track a material's functional properties on the production line. SirenOpt's technology accelerates R&D, enhances product performance, and delivers higher production quality in both in-line and off-line applications.

Features

Non-destructive measurement of multiple material properties in real-time

Cold atmospheric plasma technology for material characterization

Physics-informed machine learning for data analysis and interpretation

PlasmaSens™ platform for in-line and off-line applications

Ability to measure wafer-to-wafer, piece-to-piece, sheet-to-sheet, and roll-to-roll

Transforms measurement blind spots into rich multi-layered material insights

Target Audience

SirenOpt's primary customers are companies and startups in semiconductor, aerospace, lithium-ion battery, nickel-zinc battery, electronics, industrial separations, medical devices, packaging, industrial glass, and other industries involved in advanced materials manufacturing.