AC4DC in Action
Industrial Data Management Platform in Practice
See how AC4DC integrates, contextualizes and delivers industrial data for different systems and applications.
AC4DC
Industrial Data Management Platform for Scalable Production Data
Integrate once. Contextualize once. Use everywhere.
Semantic
Production Data –
Consistent, in Real Time,
Available Everywhere
AC4DC – Industrial Data Management Starts with Semantics and Context
Today, production departments have more data at their disposal than ever before.
ERP, MES, EAM, SCM, analytics and AI all require the same information – but in different contexts. The problem here is not the availability of data, but the lack of data integration on a shared production data platform.
Data alone does not create understanding.
What’s missing is uniform semantics and a shared context that makes data interpretable consistently across system boundaries.
Different perspectives on the same information hinder transparency, scalability and the efficient use of data in digital business processes. This can be avoided by integrating data on a single data platform.
A Common Semantic Data Foundation for Scalable Industrial Data Management
AC4DC creates a common semantic data foundation for scalable industrial data management.
The platform connects assets, systems, and applications via a common technical and domain-specific foundation. Data is not merely transferred, but placed within a shared context and made usable for various use cases.
This creates a shared context for industrial data—regardless of systems, locations, or use cases.
Why Traditional Point-to-Point Connections Don’t Scale
Digitalization rarely fails because of the data—but rather because of a lack of structure and scalability on the shop floor. Industrial data management therefore does not begin with additional interfaces, but with a shared understanding of data.
This requires:
- Semantics for a Shared Understanding
- Governance for consistency and quality
- Secure, reliable interoperability between applications
Interfaces connect systems. Context connects data.
The challenge facing modern industrial companies is not to create additional integrations. Rather, the key is to make data consistently usable across system boundaries.
Siloed solutions & lack of AI readiness
Data is often available only to a single system; every additional interface increases effort and risk. Raw signals without context are useless for AI and analytics.
High costs & lack of lifecycle management
Hardware, maintenance, and documentation costs recur repeatedly. Without systematic management of templates, versions, and rollouts, changes are virtually impossible to reproduce.
Knowledge Risk & Compliance Gaps
In-house developments rely on the knowledge of individuals and reach their limits when scaling up. Without complete traceability, it is difficult to substantiate audit findings.
That is why AC4DC does not simply replace individual interfaces, but creates a central semantic database for all industrial applications.
Reuse Instead of Repetition
A scalable data architecture is transforming the logic of industrial digitalization: Instead of having to integrate data anew for every new use case, a common foundation is created that can be reused.
The Business Case Scales
Point-to-point seems cheap at first — but every interface raises cost and risk. A semantic data layer flips that logic: every new use case uses the same foundation.
AI Starts With the Data
AI apps and AI reporting need contextualized and semantically consistent data. Whoever creates the data foundation also creates the prerequisite for scalable AI applications.
Data Governance
Common rules, structures, and responsibilities ensure consistent, trustworthy, and traceable data.
Make or Buy, Reassessed
The decision shouldn’t rest on short-term costs alone, but on long-term requirements for scalability, security, maintainability and compliance. Standardized solutions offer sustainable investment security through regular updates and support.
Results from Customer Projects with AC4DC Connectivity
~0 %
Reduction in hardware costs of up to 80 per cent
0 sites
Globally deployed, including key user onboarding
<0 hours
Installation & asset integration: less than 2 hours
One Data Source – Many Applications
The AC4DC platform, with its integrated 4SF packages (Connectivity, Quality, Solve and Inventory) provide a shared, centrally managed data foundation for various industrial use cases.
Energy & Cost Transparency
- Reduce your costs through comprehensive energy transparency across your production processes
- Prioritise your actions by clearly identifying the biggest energy consumers
- Respond quickly to deviations or consumption peaks through alarm notifications
End-to-End Traceability
- Record batches and components along with their production parameters and stop defects at source
- Reduce costs and manage your risk by quickly isolating defective batches
- Secure your competitive advantage by documenting the transparency and quality of your production and products.
Quality & Scrap
- Define quality measures based on accurate test results and the ability to document quality and quantity information within the context of orders and process flows
- Reduce scrap and the effort involved in rework, as well as the associated costs of defects
- Optimise your production processes using a contextualised database that enables a holistic analysis of process deviations
AI & Analytics on Governed Data
- Reproduce analyses or AI models at a later date using exactly the same data set
- Back up the history of master data and configurations
- Correct sub-optimal or altered data model specifications by reverting to an earlier version
- Create a clean foundation for AI-based analyses and analyse changes and their impact on production output
A standardized semantic data layer for your production
AC4DC creates a common data foundation between the shop floor and IT systems. The platform connects assets and IT systems, structures and interprets data, and makes it available as a common, standardized data model.
This enables:
- a standardized semantic data layer across systems and locations
- reuse of data semantics across different use cases
- consistent data for analytics and AI
- controlled data integration and scaling
How AC4DC Is Built Technically
Find out how gateways, the semantic layer and data provisioning interact within the AC4DC platform.
Explore Platform & Architecture in Detail >
Turn Your Machine Data Into a Competitive Advantage
Book a live technical demo and find out how AC4DC can be integrated into your specific IT/OT environment.
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