Smart Manufacturing

Build Your Digital Twin Foundation

Standardize data from PLCs, robots, and sensors to create a high-fidelity, interoperable digital twin of your entire production line.

In Industry 4.0, a digital twin is essential for simulation, optimization, and predictive analysis. *

A structured OPC UA model provides the semantic backbone for this twin.

By using a modeling tool to define standard asset models for your machinery (e.g., CNC machines, conveyors, robotic arms), you ensure that data from disparate vendors is ingested with consistent meaning and context.

This allows you to accurately simulate process changes, predict failures before they occur, and optimize production flow with a clear, holistic view of your entire factory floor, breaking down data silos.

Energy & Utilities

Accelerate Smart Grid Interoperability

Rapidly model Distributed Energy Resources (DERs) like solar, wind, and batteries for seamless grid integration, monitoring, and control.

The modern energy grid is a complex network of traditional sources and new Distributed Energy Resources (DERs). Achieving stability and efficiency requires seamless, secure communication. Using a standardized modeling approach with OPC UA (often aligned with standards like IEC 61850) is critical. Our modeler allows you to rapidly define and deploy consistent models for solar inverters, battery storage systems (BESS), and charging stations, ensuring they can be monitored and controlled in a unified, vendor-agnostic way. This accelerates the transition to a smarter, more resilient, and secure energy grid.

Pharmaceuticals & Life Sciences

Enforce Compliance and Data Integrity

Create robust models for batch recipes and equipment that enforce data integrity and provide a clear audit trail to support 21 CFR Part 11 compliance.

In the pharmaceutical industry, data integrity and traceability are non-negotiable. An OPC UA model provides the framework for a comprehensive electronic batch record (EBR). With a dedicated modeler, you can define the entire manufacturing process, from raw material inputs to critical process parameters (CPPs) and quality attributes (CQAs). By enforcing standardized data structures, types, and contexts at the source, you create an immutable audit trail, simplify the validation process, and build a system that inherently supports the strict compliance requirements of regulatory bodies like the FDA.

Logistics & Automated Warehousing

Unify Warehouse Automation Systems

Integrate Autonomous Guided Vehicles (AGVs), robotic arms, and warehouse management systems (WMS) into a single, cohesive operational model.

A modern warehouse is a symphony of automated systems, often from different manufacturers. To achieve peak efficiency, they must work in concert. A structured OPC UA model acts as the conductor. Use a modeler to define standard interfaces for AGVs, conveyor systems, and robotic picking arms based on specifications like VDA 5050. This allows your central Warehouse Management System (WMS) to communicate with all assets using a single, unified language, enabling real-time optimization of material flow, drastically reducing integration costs, and creating a truly interoperable and scalable automation ecosystem.