See you in Munich at analytica 2026
24–27 March 2026 | Munich
Co-exhibitor at NETZSCH-Stand A1.303
How can material data be efficiently structured, analysed and made usable?
Meet LabV at analytica and see how the AI-powered Material Intelligence Platform supports research and development in everyday laboratory work – from data capture to informed decision-making.
AI in industrial R&D
25 March 2026, 10:30 am
Forum Digital Transformation, Hall B2.137
Artificial intelligence (AI) is being widely discussed in industrial R&D. However, its effective application requires appropriate methodologies and a consistent, usable data foundation. In practice, formulation, process and instrument data are often fragmented, making knowledge reuse and data-driven decision-making difficult.
A Material Intelligence framework integrates laboratory data, workflows and AI within a consistent structure. An agent-based AI co-engineer supports this approach through context-aware search, document access and the analysis of structured laboratory data. On this basis, machine learning and Bayesian optimisation can be applied for predictive modelling and targeted experiment planning — even when data availability is limited.
The presentation demonstrates how Material Intelligence enables the practical application of AI in R&D laboratories and systematically supports decision-making in complex formulation environments.
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Join LabV at analytica to discover how the AI-powered Material Intelligence Platform supports research and development in day-to-day laboratory work — from data capture through to informed decision-making.
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how formulation data becomes systematically usable.
Experience in a short demo session how LabV brings together formulations, test data and variant knowledge in paint and coatings development.