LabV – The Material Intelligence Platform
Materials Week 2025
Meet us at the Materials Week from 2. – 4. April 2025
2. – 4. April 2025, Frankfurt am Main (Germany)
Discover how LabV’s AI-powered Material Intelligence Platform revolutionizes material science by optimizing quality assurance and accelerating R&D processes. Our cutting-edge solutions empower industries to make smarter, data-driven decisions, driving efficiency and innovation in material development and manufacturing.
Global challenges, such as climate change and resource scarcity, are driving the demand for sustainable materials with reduced environmental impact. Developing these materials requires advanced data management across the lifecycle—from research and development to production and quality control. However, current data handling methods often struggle with the complexity of modern materials data, limiting their impact on sustainability and innovation (1). This talk introduces the Material Intelligence Platform (MIP), an AI-supported framework designed to uncover complex relationships within material data and support decision-making across the lifecycle.
Our research question is: How can AI and machine learning efficiently uncover critical correlations in complex material datasets to support sustainable material innovation? The MIP employs clustering algorithms, regression models, and data harmonization techniques to identify correlations between material properties — such as mechanical strength and durability — and their performance in specific applications. By integrating data from sources like laboratory measurements and production parameters, the MIP enables precise, data-driven decisions.
We will present examples from the polymer and paint & coatings industries to illustrate how AIsupported insights from the MIP reveal correlations between material properties and processing conditions, enabling researchers to optimize formulation and process parameters. The MIP also includes centralized data access and visualization tools, connecting R&D and quality control teams to improve workflow efficiency and collaboration.
Observed outcomes from initial studies include reduced time-to-market and improved product quality, aligning with studies that highlight the impact of advanced data management and AI on efficiency and quality (2, 3). This work demonstrates AI’s potential to drive sustainable innovation, addressing the data complexity in materials science and enhancing development and quality practices.
(1) : L. Wang, Z. Liu, Z., A. Liu, F. Tao. International Journal of Advanced Manufacturing Technology, 2021, 114, 771–796.
(2) : G. Batra, Z. Jacobson, Z., N. Santhanam, N., McKinsey on Semiconductors, 2015, Number 5, Winter 2015, 68– 78.
(3) : Report by Aberdeen Group, 2007.
LabV – The Material Intelligence Platform
Charles Jouanique has been active in the industry for over 13 years. In addition to developing new digital business models, he is also an entrepreneur and a multiple business angel for startups. He is the Co-Founder in charge of Sales & Marketing at LabV, a software company within the NETZSCH Group.
For more information check out the agenda or get in touch with us at kontakt@labv.io to for an appointment with us.
LabV is a cloud-based, AI-powered platform that eliminates inefficient data handling and management, empowering teams in R&D and quality control with actionable insights.
Streamline formulation development, processing, and quality control for data-driven decision-making at every step along the product lifecycle.
Organize formulations, processing and manufacturing data in one place.
Manage all resources, from inventory to equipment, ensuring consistent results.
Analyze results and compare material performance.
Exploit the power of AI & ML to make data-driven decisions.
Accelerate Innovation and Ensure Product Quality with
LabV’s Material Intelligence Platform