SirenOpt provides manufacturing intelligence solutions using cold atmospheric plasma technology for non-destructive material analysis. Their PlasmaSens platform measures multiple material properties in real-time, enabling immediate quality decisions on production lines. This technology supports optimization and defect detection across various applications, including semiconductors, batteries, and flexible films.
Funding
$6.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
VTFounders
Product
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.
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.
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