Was M2M bedeutet, wie es funktioniert und wo es in der Praxis eingesetzt wird.
From assessment to successful implementation
Do you want to digitize your manufacturing without technical ballast, but with tangible benefits? Then you've come to the right place. MaibornWolff brings IT and OT together to create manufacturing software that is not complicated, but clever: processes run leaner, data finally becomes useful and results are measurable.
Less technology. Better business.
Scalable-by-design and open architecture keep your digitalization young. We decouple systems, standardize structures and reduce complexity - allowing new use cases to be created quickly and rolled out worldwide.
With a unified namespace (MQTT), we clear up data silos: clean, structured, transparent and with clear responsibilities according to the data mesh principle. This means that machine data, ERP and MES finally speak the same language.
We integrate ERP, MES, SCADA/HMI and machine control systems pragmatically - without a tool circus, but with expertise in legacy, OPC UA and native protocols. The result: robust manufacturing software and peace of mind on the store floor.
From assessment to operation, we supply the platform, applications and knowledge transfer from a single source. Security is not an appendage for us. Your teams become confident - and we stay on board as a partner when it comes to scaling.
Digitalization is transforming markets, processes, and business models—and presenting you with complex decisions. Our topic pages provide guidance: they show how we use strategy, technology, and experience to create solutions that have a lasting impact.
With the right cloud architecture, we combine technology and business value: automated, secure, scalable. This allows us to create space for innovation and sustainable competitiveness.
Cybersecurity starts with clarity: We protect your systems, data, and processes with security by design—from risk analysis and penetration testing to DORA and NIS 2 compliance.
Aus Daten werden Entscheidungen, aus KI entsteht Wertschöpfung. Wir entwickeln datengetriebene Strategien, Modelle und Systeme, die Ihr Unternehmen messbar intelligenter machen.
Intelligent systems start deep in the code. MaibornWolff develops robust embedded software and robotics solutions that perfectly combine precision, safety, and performance.
Production processes are becoming smart, connected, and self-learning. We support you in the digital transformation of your factory—with IoT, cloud, edge, and AI for measurable efficiency.
Connected products create new business models. We combine hardware, software, and the cloud to create secure, scalable IoT solutions that make data usable and systems intelligent.
Think strategically, implement operationally: MaibornWolff develops IT organizations, architectures, and processes that enable change and lead your business to sustainable success.
Outdated systems slow down innovation. We modernize your IT during ongoing operations—with a clear strategy, clean code, and a focus on future viability and stability.
Quality is not created at the end, but right from the start. We integrate testing, automation, and engineering to make software reliable, secure, and future-proof.
The employees save around six hours a week thanks to the new entry (iProcess).
Manufacturing software is the lever for making digitalization tangible in production - from mechanical engineering to the food industry. It brings people, machines and data together, reduces tedious manual work and finally creates transparency across all plants.
For companies with an established system landscape, it provides a scalable bridge between ERP, MES, SCADA and the store floor. Traceability and GxP requirements are taken into account right from the start. We work for corporations and large SMEs that prefer to get things done rather than plan endlessly. Start quickly, learn, scale - with a focus on measurable benefits instead of buzzwords.
We provide an experienced end-to-end team of architects, OT/IT experts and developers. Together, we strengthen the status quo, prioritize use cases and deliver an MVP that runs productively in your environment - pragmatically, securely and scalably.
Whether automotive, mechanical engineering or the process industry: the biggest hurdle is rarely the technology. The challenge usually lies in the collaboration between IT and OT - or in the fact that data cannot be meaningfully linked and used. We structure the digitalization of production in such a way that it becomes viable and can be rolled out.
Which regularly throws a spanner in the works:
heterogeneous system landscapes
Legacy machines and protocols
Lack of internal know-how
Limited scalability
Long rollout times
Rigid processes
End-to-end services for production digitization - from analysis, architecture and implementation to operation:
Health checks to determine where you stand
Process and tool analysis for store floor apps
Concept development and architectural consulting for smart factories
Implementation of IIoT apps, integrations and operator UIs
Edge and cloud platforms, regardless of the cloud provider
Machine connection via OPC UA and native protocols
Test automation at all levels
Advice on scaling and maintainability
AR and mobile apps for industrial use
Secure remote access
Control center for the technical monitoring of driverless trucks
UX design, product strategy, data structure, vehicle data visualization
Monitoring, remote support, mission management, reports for commercial autonomous transport solutions
Unified IoT platform for 3 business units, harmonization of existing IoT solutions
IoT device connectivity, visualization software for data analysis, cloud infrastructure, operations
Quick testing in the cloud infrastructure, fast integration of use cases such as predictive maintenance, process optimizations, etc.
IoT gateway (MAX Box) for data connection between elevator & IoT platform
Examination of code quality, architecture, operations & organization
Optimization of IoT gateway connectivity & digitalization of elevators
IoT & software modernization, integration of new functions
Data warehouse setup, integration of microservices, automated quality assurance, Continuous Integration & Continuous Deployment (CI/CD)
Improved resilience, maintainability & further development capability of the platform
Protection of digitalized trucks against virtual attacks
Risk analysis based on 4x6 methodology, ThreatSea, ISO21434
Quick identification of relevant threats for immediately effective security measures
Further development of the IoT platform for connected home appliances
Container-based architecture, open standards, modular design
Quick availability & scalability of digital services, high added value for users
Control and configuration of the robotic mower via smartphone
Development of app, web, cloud platform and direct Bluetooth communication
Digital benefits for users, app controllability, remote software updates
Fully integrated remote access in the IoT platform
Full stack cloud application, RUST-based clients, UX design
Analysis of sensor data from production as a basis for sustainable decisions for customers
Live monitoring platform for visualizing connected warning devices
Automation & cloud services (MS Azure), API management
Alarms visible worldwide within seconds, multi-tenant system
Software upgrades without the need to visit a service center
Backend system for over-the-air communication with the vehicle, 24/7 support
IT security, more comfort, on-demand provision of new features
Creation of a unified customer experience across all products, smooth generational transition for customers, secure, agile operation
WebUI for the digitalization & automation of energy management processes, open-source solution for energy flow visualization
Energy flow & cost optimization, operational reliability, customer-friendliness
Creation of a centralized, intuitive, expandable portal as the foundation for industrial applications (remote access, data visualization, ML)
Exploration, setup & further development of the base platform for industrial services
Innovative portal for end-to-end solutions, MVP in just 7 months
We start with a clear vision and a look at the current situation. Then we select the use cases that really make a difference - not the ones that just sound good. A productive MVP delivers initial results, after which we roll it out across all plants and get your teams ready for scaling.
With over ten years of IIoT and smart factory experience in more than 30 projects, we combine software development, OT expertise and architecture know-how. From consulting to infrastructure to operation: we deliver everything from a single source - with governance and security by design, of course. Or as we would say: Not a piecemeal approach, but a system with understanding.
The regulatory requirements for energy companies are subject to constant change. Here you will find answers to the most important questions on current legal requirements, political developments and their impact on the digitalization of the energy industry (as of 03/2025).
In short: paperless production, connected worker apps and a clean database. Unified namespace (UNS) is becoming the standard for breaking down data silos. At the same time, the infrastructure level is gaining in importance: those who standardize their platforms can roll out new use cases faster - without having to reinvent every plant.
Many digital projects fail due to rollout and technology. A shared, standardized infrastructure saves effort, reduces operating costs and makes scaling possible - especially for companies with multiple plants. Kubernetes & Co. help to automate deployments and maintenance. The result: less complexity, more speed.
GxP requirements are mandatory in highly regulated industries such as pharmaceuticals: data must remain tamper-proof and traceable. Traceability (track & trace) is also becoming more important across all industries. Paying attention to data integrity right from the architecture stage saves you stress with audits later on - and lets you sleep more soundly.
Security is considered right from the start of every project. Communication above the PLC level is encrypted, workloads are operated on-prem or in the cloud as required. It is important that those responsible for security are involved at an early stage - this ensures that protection remains effective without slowing down innovation.
Was M2M bedeutet, wie es funktioniert und wo es in der Praxis eingesetzt wird.
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EA rethought: flexible, agile and close to the business - instead of rigid and theoretical.
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Code as a city map: identify hotspots, plan refactoring, and target specific projects for improvement.
Understanding and using LLMs: What they can do, where they can help – and how to get started.
Use generative intelligence strategically, securely and with clear added value.
QT or Flutter? Embedded frameworks compared: performance and licensing reviewed.
Clean, Onion, Ports & Adapters – what lies behind hexagonal architectures
Descriptive analytics explained – definition, process, benefits and specific examples.
Automated production reimagined – with data analysis and greater flexibility.
Understanding smart manufacturing from the ground up: technologies, advantages and real-world use cases.
Predictive maintenance explained: making maintenance more predictable, efficient and smarter.
The principles, tools, advantages and pitfalls of refactoring discussed in a nutshell.
Using AI correctly: data, opportunities, challenges and concrete solutions.
Using the cloud without losing track – opportunities and risks examined.
Cloud or on-premises? Differences, costs, advantages and disadvantages compared.
Plan your path to the cloud intelligently: models, services and security at a glance.
Understanding condition monitoring – for fewer breakdowns and smart maintenance.
Data security in the cloud: understanding the challenges, finding solutions.
Potential and areas of application for AI, tips and examples for sustainability.
Understanding artificial intelligence simply: applications, impact and future opportunities.
DevOps explained – methods, advantages and how teams can quickly benefit from it.
Plan production using simulation – precisely, with few errors and cost savings.
Better estimate customer demand: definition, methods and added value of demand forecasting.
How predictive quality helps increase customer satisfaction and reduce production costs.
AI in practice: use cases from sales to production, with opportunities and obstacles.
Understanding the basics of cloud architectures: models, security and costs explained in detail.
The key principles, benefits, and practical steps to good Frontend Architecture explained.
As one of the most innovative IT service providers with a great passion for AI, we focus entirely on the project business and individual software development - without our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well thought-out, efficient and reduced to the essentials.
Our principle: simplicity instead of complexity. We only develop what is really needed - tailor-made, useful and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are one of the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers operate their solutions in today's most modern and powerful environments.
Less technology. Better Business.