Turn lab data into better R&D decisions
Use Laboratory Data Effectively and Make Better R&D Decisions
In this live demo, we show how industrial R&D teams can structure their laboratory, project and experimental data and make it usable in their day-to-day development work.
Using practical examples from the LabV platform, you will see how to retrieve historical data faster, analyse relationships between different parameters and apply insights from previous experiments to new development projects.
What you will learn in this demo
- How to centrally manage raw materials, process standards, test methods and laboratory equipment
- How to connect formulations, process parameters and test results
- How to document target and actual values for each sample with full traceability
- How to search historical formulations and experimental results efficiently
- How the AI Assistant summarises projects, compares results and calculates correlations
- How to visualise and analyse data to support better-informed decisions
- How historical experimental data can provide the foundation for AI-assisted experiment planning
Why structured laboratory data matters
In many R&D departments, valuable development data is scattered across Excel spreadsheets, local folders and disconnected systems. A great deal of knowledge is available, but it remains difficult to access and reuse in day-to-day work.
A shared data foundation makes previous formulations, experiments and laboratory insights easy to find. Development teams can build on existing results, identify relevant relationships faster and start new projects with a reliable foundation of data.
What you will take away from the demo
- A practical introduction to structured R&D data management
- Concrete examples of how to search, analyse and visualise historical experimental data
- An outlook on AI-assisted experiment planning and data-driven formulation development