As Physical AI advances, digital twins must evolve beyond visualization. SimReady Assets are enabling simulation-ready industrial environments, where behavior, physics, and data come together. DataMesh is applying this approach in real production scenarios, transforming industrial assets into computable, reusable systems for simulation and AI.
Chen Hsong Group, a global leader in injection molding machines, has partnered with DataMesh to create an end-to-end digital twin solution spanning pre-sales planning to after-sales operations. By combining digital twins with AI, production line concepts become immersive, simulation-ready 3D environments—enabling faster validation, smarter decisions, and better outcomes. At the same time, shared digital assets power XR training, helping standardize and scale service delivery worldwide.
EVE Energy leverages DataMesh FactVerse to build a digital twin platform that enhances operational performance and energy efficiency through real-time visibility, high-fidelity simulation, and data-driven insights. The platform also lays the foundation for future AI-driven capabilities, supporting the company’s journey toward WEF Global Lighthouse recognition.
FactVerse AI Agent is designed to help enterprises move beyond traditional dashboards and reporting systems toward computable, verifiable, and executable operational intelligence. The platform is particularly suited for complex operational environments such as border checkpoints, aviation MRO, semiconductor fabs, chemical plants, logistics networks, and large-scale infrastructure systems.
DataMesh announced the global release of the new DataMesh Inspector (Version 2601, Internal Version 8.0.0), a digital twin–powered intelligent operations and maintenance platform designed for industrial enterprises, smart facilities, and critical infrastructure.
DataMesh supported the digital transformation of two newly recognized WEF Lighthouses. At Faurecia, VR-based training enabled scalable, standardized workforce development. At EVE Energy, a digital twin platform delivered unified operational visibility, process simulation, and energy optimization, accelerating real-world intelligent manufacturing outcomes.
DataMesh and Yokogawa have partnered to deliver an AI-powered predictive maintenance solution that integrates industrial sensing, AI analytics, and digital twins. The solution enables earlier risk detection, reduces false alarms, and helps operators move from reactive maintenance to proactive prevention.
Built on an “Executable Industrial Digital Twin,” the solution provides dynamic business simulation, industrial scene modeling, physics and sensor simulation, photorealistic synthetic data generation, and automated ground-truth labeling—plus practical methods for defining industrial task objectives and reward signals. It integrates with NVIDIA Isaac Sim / Omniverse and is piloted by enterprises for robotics deployment in production, inspection, and operations.
The expanded collaboration unlocks new possibilities for industrial digital twins, physically accurate simulation, and embodied AI—helping manufacturers design, validate, and optimize production with greater speed, confidence, and realism.