SBM unveils Maxera 3D digital twin powered by IBM Maximo at LEAP 2026

Category: AI & Data

By TechScoop Desk

Published: 2026-08-31T11:54:18.000Z

Saudi Business Machines (SBM) introduced Maxera, a 3D digital twin solution built on IBM Maximo and watsonx, at LEAP 2026. The platform provides a comprehensive, interactive 3D representation of assets, facilities, and operations. It…

Riyadh — Saudi Business Machines (SBM) has introduced Maxera, a 3D digital twin solution built on IBM Maximo and watsonx, marking a significant addition to the enterprise asset management landscape at LEAP 2026. The platform is designed to provide a comprehensive and interactive 3D representation of physical assets, facilities, and complex operations, offering industrial and enterprise clients a unified interface for infrastructure oversight. This development highlights a concrete asset-maintenance expansion within the IBM partner ecosystem, reflecting a broader regional shift toward data-driven operational intelligence in Saudi Arabia and the wider Gulf market. The integration of advanced visualization tools with established enterprise software platforms represents a critical step in modernizing industrial operations. By integrating the robust asset management capabilities of IBM Maximo with the generative artificial intelligence features of watsonx, SBM Maxera aims to streamline how organizations monitor and analyze their infrastructure. The solution allows for real-time tracking and optimization, addressing the growing demand for precision and efficiency in managing large-scale physical assets. As organizations in the region increasingly digitize their operations to align with national transformation goals, the ability to visualize and interact with a digital replica of physical infrastructure presents a practical approach to reducing downtime and extending asset lifecycles. This digital twin approach not only provides a visual context for complex data but also enables operators to simulate scenarios and assess the potential impact of maintenance decisions before they are implemented in the physical environment. The deployment of such technologies is becoming increasingly relevant as industries face pressure to improve operational resilience and reduce costs. The interactive nature of the 3D representation allows stakeholders across different departments to collaborate more effectively, bridging the gap between field operations and strategic management. By providing a single source of truth for asset information, platforms like Maxera can help organizations break down data silos and foster a more integrated approach to facility management. This holistic view is essential for optimizing the performance of interconnected systems and ensuring that maintenance activities are aligned with broader business objectives. A key component of the Maxera platform is its integration of generative artificial intelligence to enhance decision-making capabilities. The system leverages AI to automatically generate dashboards, operational views, and actionable insights, reducing the manual effort typically required to interpret complex industrial data. This automation allows maintenance teams and facility managers to quickly identify potential issues and optimize performance without needing extensive data science expertise. The ability of generative AI to synthesize large volumes of operational data into accessible formats is a significant advantage for organizations looking to scale their digital transformation initiatives. The use of generative AI in this context represents a shift from reactive maintenance to proactive, data-informed asset management. By automatically synthesizing data from various sensors and operational inputs into clear, interactive visual formats, the platform helps organizations anticipate maintenance needs. This capability is particularly relevant for sectors managing critical infrastructure, where the cost of unexpected failure is high and the volume of operational data can be overwhelming. The AI-driven insights can highlight patterns and anomalies that might be missed by human operators, enabling early intervention and preventing costly equipment breakdowns. Furthermore, the integration of generative AI can streamline the reporting process, allowing teams to generate comprehensive summaries of asset performance and maintenance activities with minimal effort. This capability not only saves time but also ensures that management has access to up-to-date information for strategic planning. As generative AI technologies continue to evolve, their application in enterprise asset management is expected to become more sophisticated, offering even deeper insights into operational efficiency and asset health. The continuous learning capabilities of these AI systems mean that they can adapt to changing operational conditions and provide increasingly accurate recommendations over time. The launch of Maxera at LEAP 2026 underscores SBM’s position as an IBM Platinum Partner and its role in adapting global technology frameworks for the local market. By building on established platforms like IBM Maximo, SBM provides a solution that integrates with existing enterprise architectures while introducing advanced 3D visualization and AI-driven analytics. This approach offers organizations a pathway to upgrade their as