Laboratory Data and AI for Better R&D Decisions
Industrial R&D generates valuable data every day: from raw materials and formulations to process parameters, samples and test results. Yet this information is often distributed across spreadsheets, local folders and disconnected systems.
In this live demo, we use practical examples to show how LabV brings this data into a shared context. Previous results become easier to retrieve, experiments become comparable and important relationships can be identified more quickly.
What you will see in the live demo
- Central management of raw materials, process standards, test methods and laboratory equipment
- Connections between formulations, process parameters, samples and test results
- Traceable documentation of target values, measured values and deviations
- Targeted searches across historical formulations and experimental results
- Project summaries and contextual analysis using the AI Assistant
- Correlation calculations and identification of unusual results
- Visualisation of development data in charts
- Use of historical data as a foundation for AI-assisted experiment planning
Make existing development knowledge usable
When data remains locked in individual files or systems, much of its value is lost. Previous findings are overlooked, experiments are repeated and decisions are often made using incomplete information.
A structured data foundation connects formulations, processes and results across projects. Development teams can build on existing knowledge and approach new questions with a better understanding of previous experiments.
What you will take away
- A practical introduction to structured laboratory data management
- Concrete use cases for data search, analysis and visualisation
- Examples of contextual support provided by the LabV AI Assistant
- An outlook on data-driven formulation development and AI-assisted experiment planning