DataMesh Showcases Simulation Digital Twins Powered by DataMesh FactVerse and NVIDIA Omniverse at GTC 2025

DataMesh, a digital twin company and a member of NVIDIA Inception, announced its attendance at NVIDIA GTC 2025, taking place from March 17–21. DataMesh CEO Jie Li delivered a speech, Revolutionizing Workflow Through the Industrial Metaverse, on March 17, illustrating how FactVerse is shaping the future of manufacturing and operations by empowering key business scenarios across industries with digital twins and AI.

DataMesh is also excited to announce the launch of a new NVIDIA Omniverse extension, seamlessly connecting FactVerse to applications developed on the Omniverse platform. The extension will soon be available for download directly from the DataMesh website, with availability on NVIDIA NGC software catalog to follow.

DataMesh FactVerse : Driving Optimization with Simulation Digital Twins

DataMesh FactVerse is an industrial metaverse platform designed to transform frontline operations by integrating digital twin technology, spatial computing, and AI. It provides a scalable, no-code environment for multi-source data integration, real-time simulation, and content creation—solving challenges such as high costs, lengthy implementation cycles, and data silos.

With FactVerse and NVIDIA Omniverse, enterprises can rapidly develop high-fidelity digital twin solutions, creating time-space-consistent virtual environments that drive operational efficiency and business growth. FactVerse enables comprehensive digital twin scene construction, operational logic simulation, and multi-source data fusion, forming a solid foundation for real-world applications. NVIDIA Omniverse technology libraries and APIs further enhance this with high-fidelity rendering, physics-based simulation, and physical AI capabilities.

This collaboration accelerates digital twin adoption by combining FactVerse’s robust data foundation and connected business logic with NVIDIA Omniverse technologies for physically-based rendering, physics-accurate simulations, and AI-powered capabilities. These include large language model inference and synthetic data generation, unlocking applications such as root cause failure analysis, intelligent scheduling optimization, and AI-driven training for industrial robots.

NIO implemented DataMesh FactVerse to enhance vehicle assembly, integrating real-time monitoring, accurate layout simulation, and seamless AGV and RFID data integration. Engineers rapidly built digital replicas of equipment and workflows, minimizing downtime and optimizing production.

Foxconn leveraged DataMesh Director to streamline employee training with 3D digital twin-based guides for complex equipment workflows. The no-code platform enabled immersive AR training, reducing reliance on physical machines, improving efficiency, and enhancing knowledge retention.

A leading aircraft maintenance provider used DataMesh FactVerse’s Data Fusion Services (DFS) to integrate real-time sensor data, historical records, and QAR decoding into a predictive maintenance platform. AI-powered anomaly detection reduced unplanned downtime and optimized repair schedules, improving reliability and safety.

A major resort operator deployed DataMesh FactVerse to integrate Facility BMS, IoT devices, and digital twins into a unified system. This enabled real-time monitoring, optimized energy usage, and improved resource management, enhancing operational efficiency and sustainability.