EMD Electronics unifies scientific data to accelerate AI-driven materials research

EMD Electronics partnered with Revvity Signals and Scitara to transform fragmented scientific data into a unified, structured foundation for advanced analytics. By integrating laboratory instrument data with experimental research records through Signals™ Notebook and Scitara’s data integration platform, the company created a centralized environment that automates data capture, organization, and accessibility across research workflows.

Discover how this new approach enables scientists to spend less time managing data and more time generating insights through visualization, AI, and machine learning tools. With structured data available across multiple systems, EMD Electronics has established a scalable digital infrastructure that supports faster decision-making, improved collaboration, and future predictive analytics initiatives in semiconductor materials research.

Resource details:

• Resource type: Case study
• Page count: 5
• Read time: 10 mins