Majutex: The Digital Infrastructure of Material Intelligence

“Connecting data about materials to processes, decisions, and real-time innovation”

In a data-driven and interconnected economy, Majutex operates as a digital infrastructure that integrates information about materials, systems, and applications into a common space. The platform provides a structured framework for the ongoing management and updating of material data, going beyond a simple database and offering support for machine learning, optimization, and real-time adaptation.

Majutex integrates with existing digital ecosystems, including CAD software, FEA simulators, digital twins, and production platforms. This interoperability enables the tracking of material behavior in real processes, assisted by IoT sensors. Data such as temperature variations, pressure, or wear can be monitored and transmitted to the system to adjust material selection or design parameters.

The platform uses machine learning algorithms to identify patterns such as recurring failures, efficiency losses, or resource overuse. These analyses generate specific recommendations, such as choosing an alternative material, adjusting compositions, or preventing known issues from previous applications. Additionally, the platform can anticipate future material behavior based on factors such as exposure to UV rays, chemical stability, or changes in the supply chain.

Majutex also contributes to strategic decision-making by incorporating extensive criteria into analysis processes. In an urban project, for example, the platform can evaluate material performance alongside costs, carbon footprint, circularity, and social impact. In the context of global supply chains, it can analyze risks related to the sourcing of raw materials and suggest more stable or renewable alternatives.

An essential element is the representation of relationships between materials in the form of dynamic graphs. These networks allow users to observe connections between properties, sources, applications, and observed performance. Thus, it is possible to identify new uses for materials already existing in other industries, such as adapting an aerospace composite for the medical sector or using a biodegradable polymer as a protective layer in construction.

Majutex offers a digital system for managing and correlating material information, with a focus on accuracy, visibility, and applicability. By integrating technical data with use scenarios and predictive analyses, the platform supports the transition to a systemic approach to innovation and sustainability in the industry.