New generation of products consumer products are needed every 18 months. Research and new product development is the lifeblood of the semiconductor industry.
Optimize processes and materials. Improve manufacturing and performance by identifying key materials and refining semiconductor processes.
Scale designs efficiently. Convert innovations into scalable designs for high-volume production with enhanced efficiency.
Enhance accuracy and yield. Use data insights to improve precision, yield, and quality standards in semiconductor testing.
Optimize manufacturing. Apply analytics to enhance productivity, precision, and process optimization in semiconductor production.
Drive engineering excellence. Utilize data to refine processes, sustain reliability, and advance semiconductor innovation.
Strengthen market presence. Employ data-driven marketing strategies to engage with semiconductor markets and trends effectively.
45% reduction in scaleup costs through automation of cause-defect identification using past data.
New materials development using predictive machine-learning.
Reduce 80% of manual labor by automating QA, QC, and R&D report creation.
Automate SEM image analysis in process development reducing defects.
Automation of competitive intelligence gathering, marketing data analysis, and demand prediction.
Language AI and automation of papers, patents, and web search for technology scoping and legal groups.