Industry: Digital Region: Germany Transaction Price: US$ 1 million Transaction Method: Equity investment
Project introduction:
A well-known German group's ability in analysis and testing in the past 60 years is impressive. The company's software developers, digitization experts and laboratory experts have built a dynamic new team to provide tailor-made intelligent digital solutions for the manufacturing industry.
As pioneers in this field, they applied for a patent for the mapper that is easy to integrate measuring equipment, and proudly launched an artificial intelligence digital assistant for testing laboratories in February 2024. The goal is to make laboratory data automatically available, easy to access and quickly analyzed. By using these data, we can help the company to strengthen quality assurance and product development, create a sustainable competitive advantage, and ensure its future viability-transforming data into better products.
The team provides a platform to simplify laboratory data management, focusing on quality control, material development and process engineering. It integrates data from various test equipment and customer IT infrastructure into a system, realizing a seamless and efficient process. Through automatic data collection and analysis, efficiency is improved, manual input is reduced, and trends and anomalies are found early, thus improving product quality and operational productivity. The platform now also includes an AI-driven digital assistant to improve efficiency and gain more insights.
Material intelligent platform
●This is a cloud-based artificial intelligence platform, which eliminates inefficient data processing and management and provides operational insights for R&D and quality control teams.
● Simplify formulation development, processing and quality control, so as to make data-driven decisions at every step of the product life cycle.
● Organize recipe, processing and manufacturing data in one place.
● Manage all resources from inventory to equipment to ensure consistent results.
● Analyze the results and compare the material properties.
● Use the power of AI and ML to make data-driven decisions.
Material Intelligence Platform of R&D Team
Faster development: use the insight driven by artificial intelligence to accelerate material innovation and optimization, and reduce the dependence on expensive and time-consuming material testing.
Overall decision-making: access all material data in one place, eliminate isolated islands, and ensure that decisions are based on complete and accurate information.
Improve collaboration: share knowledge and practices across teams, and use historical data to prevent knowledge loss and ensure continuity. Intelligent material platform for quality control
Active quality assurance: use real-time data and predictive analysis to find potential defects early and reduce quality risks before affecting production.
Improve efficiency: automate the quality control workflow, save the time of repetitive tasks, and enable your team to focus on key decisions and improvements.
Informed supervision: Make decisions based on accurate and real-time data to improve your ability to maintain consistent quality standards.