Precision Engineering
Industrial IoT SolutionsDriving industrial innovation with IIoT, AI and smart factory solutions – for a connected, efficient, and future-ready production environment.
Digital Transformation in Industry
Industrial production is undergoing significant change, driven by increasing digitalization and system connectivity.
Matthews Engineering develops and implements technologies in the fields of Industrial IoT (IIoT), automation, and data-driven analytics (e.g., AI-based evaluations) to technically optimize production processes and improve resource efficiency.
Our smart factory solutions enable condition-based maintenance, real-time data acquisition, and the integration of cloud-based system architectures to ensure long-term process stability and scalability.
Our smart factory solutions use IoT, analytics and digital twins for real-time monitoring, predictive maintenance and optimized production.
By connecting machines, systems, and sensors, integrated industrial ecosystems can be established to enhance efficiency and performance. Real-time monitoring and data analytics support more informed decision-making. IoT-enabled automation has the potential to streamline operations and reduce waste. Additionally, cloud and edge computing architectures offer secure and scalable solutions for data management, contributing to smarter and more sustainable industrial processes.
Identify potential issues early with AI-supported predictive analytics. By analyzing operational data patterns, machine learning models can help detect signs of wear or irregularities at an early stage. This enables more informed maintenance planning, supports the reduction of unplanned downtime, and contributes to cost-efficient asset management and improved operational reliability.
Cloud and edge computing can be used to manage production data securely and support remote monitoring of systems.
Virtual representations of physical assets can be used to simulate and evaluate processes in a digital environment without real-world risks. These simulations may support the analysis and optimization of production workflows, assist in operator training through realistic scenarios, and help identify potential efficiencies or cost-saving measures prior to actual implementation.
Immersive digital technologies such as virtual and augmented reality offer new ways to support industrial design, planning, and operations. Virtual reality (VR) environments can be used to visualize machines and processes in detail, while augmented reality (AR) may assist with maintenance and training through interactive simulations. In addition, interactive configurators can help explore customized solutions for specific industrial needs.
Source: Gartner, “Innovation Insight: AI Agents,” April 2024
As industrial engineering transforms in the wake of digitalization, one technology rises above the buzz: AI agents. While traditional automation has long been a backbone in manufacturing, the next leap is defined by systems that think, decide, and act — often autonomously. These emerging AI agents bring agency, adaptability, and intelligence to mechanical environments, enabling real-time optimization and response across distributed assets.
At Matthews International Technologies, we’re exploring how AI agents can drive decision-making within our IIoT platforms. Whether in predictive maintenance, supply chain orchestration, or dynamic energy load balancing, we see an opportunity to move from human-supervised automation to collaborative intelligence between agents, humans, and machines.
According to Gartner’s Innovation Insight: AI Agents, AI agents are moving beyond static automation and into complex environments like manufacturing and energy. These agents can:
They may even coordinate with one another in multi-agent systems — think distributed factories adjusting production plans based on global supply disruptions or local energy costs.
We are currently developing specific IIoT product prototypes that integrate AI decision-making. These include:
This is not a vision for 2030. It’s already happening — with our engineers, data scientists, and partners working hands-on with clients to build the bridge between physical systems and digital intelligence.
Source: Gartner, “IoT for Sustainability Use-Case Comparison,” 2024
Sustainability isn’t just about green headlines — it’s becoming a core efficiency strategy. In mechanical engineering and tooling, however, translating that strategy into measurable action is often a challenge. That’s where Industrial IoT (IIoT) comes in.
By embedding sensors across production lines and supply chains, we’re able to generate high-resolution data on energy usage, material flows, and equipment efficiency. This data is the first step to sustainability — because what you can’t measure, you can’t improve.
Drawing from insights in Gartner’s Use-Case Comparison: IoT for Sustainability, we’re integrating IIoT into use cases such as:
In fact, we’re actively working on product solutions that help track and optimize production sustainability KPIs, bridging the gap between compliance and continuous improvement.
IoT use cases that sit at the sweet spot between feasibility and business value — like dynamic process optimization or energy traceability — are already part of our solution roadmap. With our IIoT infrastructure, we help clients make:
It’s not about adding complexity, but about using technology to simplify sustainable growth. And we’ve got the experts and platforms to make that happen.
Industrial IoT, real-time monitoring, and cloud-based architectures enable seamless data collection and process optimization. This leads to more efficient operations, faster response times, and reduced unplanned downtime.
Sensor-based monitoring provides high-resolution data on energy use and resource flows, enabling companies to track sustainability KPIs, reduce waste, and generate transparent ESG reports that meet regulatory requirements.
With intelligent agents that can make real-time decisions and collaborate across systems, companies gain a flexible, adaptive production environment — paving the way for innovation, autonomy, and long-term competitiveness.
AI-driven predictive maintenance helps identify potential failures before they occur. Automated alerts and intelligent scheduling reduce costly disruptions and extend asset life cycles.
The 3D product configurator allows intuitive, visual, and technically sound customization of machines. With realistic 3D views, AR integration, and smart validation, users experience their configurations from every angle – accurately and securely. Setups can be saved, shared, and submitted as quote requests. As a flexible tool supporting sales and development processes, the configurator will soon expand to include additional calendering solutions.
A Virtual Reality Showroom brings machines to life in an immersive 3D environment—allowing detailed, true-to-scale visualizations of complex systems. Customers and stakeholders can explore designs interactively, experience functionality up close, and gain a deeper understanding of machinery before it’s built. Ideal for presentations, sales, and training, the VR showroom transforms how industrial solutions are showcased and understood.
The Energy Dashboard IIoT provides a real-time overview of energy consumption across machines, systems, and production lines. By collecting and visualizing data from connected sensors, it enables detailed analysis of energy usage, identifies inefficiencies, and supports data-driven decisions for increased sustainability and cost savings.
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Take advantage of the opportunities offered by IIoT, AI and smart factory solutions to make your production more efficient, sustainable and future-proof. Together we drive innovation forward.
