Industry: IT Region: Luxembourg Transaction Price: USD 1 million Transaction Method: Equity Investment
Project introduction:
This software engineering company can develop industry-specific machine learning, data analysis, digital twinning and artificial intelligence solutions.
From raw data to actionable insights, the team helps customers discover the potential of data by jointly designing a tailor-made data processing engine, creating a web application for pilot, and visually displaying the results. R&D enables customers to quickly realize integration in their production environment.
The solution developed by the company is supported by GreyCat, which is a platform for data analysis and machine learning, making data processing efficient, embedded in edge computing, scalable, and can be run locally or in the cloud. GreyCat platform is made in Luxembourg, and can run analysis on commercial hardware, so as to conduct exploration before expansion when needed. For example:
+TrendXpert: Predicting fashion trends and prices with artificial intelligence
TrendXpert aims to enable different participants in the fashion industry not only to better understand the demand, current fashion trends and current prices, but also to predict future trends, risks and opportunities. Predict trends, for example, which colors and articles are likely to become trends, and how can manufacturers better predict demand, so as to optimize production lines? Retailers can benefit from these estimates by better planning order quantity, optimizing storage and supply chain, and adjusting pricing strategy. Fashion brands can use these predictions to keep up with the competition of popular fashion items this season, and enable them to predict these trends instead of following them closely.
+Industry 4.0 solution, expanding the production line with AI
Predictability improves the understanding of improvement potential and visibility of production activities. Web application provides a portable way for partners to access not only the real-time status of the factory, but also every component of each production line. Through comparative analysis, various charts and data views, we can detect the change of productivity over time, thus triggering maintenance activities as early as possible, minimizing downtime and restoring performance. Constantly adding new functions, it has been deployed in many factories at present, so as to know all aspects of the production situation of the international group on a global scale.
The company's solutions ha-ve been applied to many business fields such as banking, steel, automobile and manufacturing, etc., providing support to customers through outlier detection, clustering and classification, pattern detection, quality control (using computer vision), value analysis, simulation and prediction.