Powered by DataMesh FactVerse, enabling a unified digital twin operations platform
EVE Energy, a global leader in lithium battery manufacturing, has been recognized by the World Economic Forum and McKinsey & Company as part of the Global Lighthouse Network, becoming the world’s first lighthouse factory in the cylindrical battery sector. With more than 40 digital initiatives deployed across its operations, the company has built strong capabilities in end-to-end digital transformation and advanced manufacturing.
Behind this achievement lies a critical enabler: a digital twin–driven operational foundation.
At its Jingmen Plant 13, EVE Energy partnered with DataMesh to build a unified digital twin platform, integrated with NVIDIA Omniverse to enable high-fidelity simulation. Together, these technologies are helping the factory move beyond automation toward more intelligent, data-driven operations, while laying the groundwork for future industrial AI applications.
The Challenge: Managing Complexity at Scale
Lithium battery manufacturing is a highly complex, precision-driven process. From electrode production to cell assembly and formation, operations rely on tightly coordinated automation systems and strict process control.
As production capacity expands and sustainability targets become more stringent, manufacturers face growing challenges:
- Increasing system and operational complexity
- Fragmented data across MES, SCADA, energy, and equipment systems
- Limited cross-system visibility and coordination
- Rising demand for real-time, data-driven decision-making
While many manufacturers have invested in digital systems, these often operate in silos—making it difficult to gain a unified view of operations or fully leverage data for optimization.
To address these challenges and support its lighthouse factory ambitions, EVE Energy turned to digital twin technology as a unifying layer.
The Approach: A Unified Digital Twin Platform for Operations
Working with DataMesh, EVE Energy deployed a digital twin–driven operations platform built on FactVerse, creating a shared digital foundation across production, equipment, and energy systems.
By combining immersive 3D environments with real-time industrial data, the platform creates a living digital replica of the factory—enabling teams to monitor, analyze, and optimize operations within a unified environment.
1. A Single Source of Truth: Integrating Space and Data
The platform reconstructs the entire facility—including buildings, production lines, and critical equipment—using high-fidelity 3D models aligned with real-world layouts and processes.
Through FactVerse Data Fusion Services (DFS), it integrates data from MES, IoT, and energy management systems, linking real-time operational data directly to digital twin assets.
This creates a unified operational view where users can:
- Navigate from site-level overview down to individual assets
- Monitor real-time performance in context
- Understand system interdependencies at a glance
For plant managers and engineers, this “space + data” integration transforms how complex operations are visualized and managed.
2. From Visibility to Action: Enabling Operational Excellence
Rather than serving as a static visualization layer, the digital twin platform is embedded in EVE Energy’s daily operations, supporting multiple high-impact use cases:
- Production & Equipment Management
Real-time visibility into line performance, enabling rapid identification and resolution of equipment issues - Quality & Process Control
Full lifecycle traceability across processes, supporting continuous quality improvement and root cause analysis - Energy & Sustainability Management
Centralized monitoring of energy consumption and carbon emissions, helping identify efficiency opportunities and advance green manufacturing goals - Simulation & Optimization
Virtual testing of production flows and scheduling strategies, reducing risk and minimizing disruption to live operations - Workforce Training & Safety
Immersive, scenario-based training in a digital environment, improving operational consistency and reducing safety risks
This shift—from passive visualization to active operational support—marks a key step toward intelligent manufacturing.
3. Laying the Groundwork for Industrial AI
Integration with NVIDIA Omniverse gives the platform high-fidelity digital twin and simulation capabilities, enabling more precise real-time monitoring and production process modeling.
Looking ahead, further integration with NVIDIA Isaac and NVIDIA Cosmos will enable embodied AI training for industrial scenarios, accelerating the adoption of physical AI in manufacturing environments.
In this way, the digital twin platform is evolving beyond visualization and operational management into a key enabler of next-generation industrial intelligence.
Results: From Automation to Intelligent Operations
With its digital twin platform in place, EVE Energy has achieved measurable improvements across key operational dimensions:
- Greater operational transparency
Breaking down data silos to create a unified operational view - Faster issue resolution
Accelerating detection and response to anomalies - Improved decision-making
Leveraging simulation and predictive insights to reduce risk - Enhanced sustainability performance
Enabling continuous monitoring and optimization of energy use and carbon emissions
More importantly, the company has established a scalable, future-ready digital architecture, positioning the digital twin as core infrastructure for long-term growth.
EVE Energy’s approach sets a benchmark for the new energy industry, providing a practical reference for advancing high-quality, low-carbon manufacturing.
Looking Ahead: Toward AI-Driven Manufacturing
For lighthouse factories, the true value lies not only in adopting advanced technologies, but in embedding them into everyday operations and continuously generating business impact.
At EVE Energy, the digital twin has evolved into a central platform connecting physical assets, operational data, and decision-making processes—forming the backbone for future AI-driven capabilities.
Next steps include the introduction of AI agents that can:
- Continuously analyze production and equipment performance
- Predict trends and potential issues
- Recommend and validate optimization strategies within the digital twin environment
This closed-loop approach—combining insight, simulation, and execution—will further enhance operational efficiency, reliability, and agility.
Partnering for the Next Generation of Smart Manufacturing
DataMesh continues to work with leading manufacturers like EVE Energy to build intelligent factory systems that are:
- Understandable (through intuitive visualization and context)
- Predictable (through data and simulation)
- Continuously evolving (through AI and digital innovation)
Together, these capabilities are helping accelerate the transition toward lighthouse factories and the next generation of industrial operations.
For more information about DataMesh digital twin and AI solutions, visit: www.datamesh.com
or contact: service@datamesh.com