This AI-powered platform automatically enriches and classifies your technical content with consistent, standards-compliant metadata—enabling you to finally unlock the full potential of your documentation: the right content is discoverable at the right time, delivered contextually, and ready for modern content delivery scenarios. The plusmeta Platform provides the context and standard exchange formats you need for intelligent information provision and efficient editorial processes.Get a reliable metadata foundation for your entire content infrastructure and lay the groundwork for your customized information architecture. As a seamlessly integrable solution, the plusmeta Platform fits directly into existing CCMS workflows—for example, with the ST4 AI Jetpack in SCHEMA ST4—and is ready for immediate use. In after-sales and service, the plusmeta Platform ensures optimal content preparation with the AI Connector, which serves as a direct interface to Quanos InfoTwin.
Easy to use, the AI platform automatically enriches your technical content with precise metadata. This lays the foundation for intelligent content delivery and future-proof documentation strategies. The comprehensively classified content also ensures significantly better performance of LLM chatbots.
plusmeta automatically analyzes your technical content using artificial intelligence and suggests appropriate metadata—which you can customize to suit your specific use case. This reduces the need for manual tagging to a minimum.
plusmeta integrates directly into existing content management systems such as SCHEMA ST4 and enriches content right where it is created. Adding metadata becomes a natural part of the content creation process.
With plusmeta's batch processing, even large collections of existing documents can be retroactively enriched with standardized metadata—without the need for manual effort on a per-topic basis.
Only with consistent, standards-compliant metadata will your documentation be ready for modern content delivery portals like Quanos InfoTwin. plusmeta provides the metadata foundation for intelligent information.
plusmeta Automate
In addition to its user interface, the plusmeta Platform offers plusmeta Automate, a headless solution for the fully automated,
scalable processing of large data volumes—for example, the automatic creation of VDI 2770-compliant packages for every
asset produced, without any manual intervention.
Whether you're assigning metadata, extracting knowledge, or implementing standards,
the plusmeta Platform helps you prepare your documents efficiently and reliably. By leveraging
artificial intelligence, you can save significant time and effort. The plusmeta Platform enables efficient
workflows and ensures your documents are ready for modern applications and exchange formats.
Automatic Metadata Assignment
From Document to Intelligent Information Building Block
- AI-based analysis of technical documents – automatic recognition of content types, product references, and target audiences.
- Automatic classification and segmentation of existing documents – precise and scalable.
- Knowledge extraction – relevant metadata is automatically extracted from unstructured content and suggested in a targeted way.
- Human-in-the-loop approach – AI makes suggestions, while subject matter experts validate them, ensuring maximum quality with minimal editorial effort.
Standards-compliant document packages
VDI 2770, iiRDS, AASX, and digital data chains – no expert knowledge required
- Implementation of standard-specific metadata concepts for complete, standards-compliant information tagging.
- Creation of the required exchange packages in the specified formats for seamless transfer to downstream systems and partners.
- Guideline-compliant document structures that reliably meet all content and formal requirements of the respective standard.
- Continuous validation of all content and structures for consistently reliable results throughout the publication process.
Intuitive Workflows
Step-by-step processes
- Optimized workflows for various use cases simplify daily tasks by guiding users through intuitive, step-by-step processes.
- Customized user roles provide targeted views and workflows, reducing complexity by making only relevant functions available.
- Simple, clear processes lower the barrier to entry, reduce the risk of user error, and keep the focus on what matters most.
- Automated metadata assignment prepares content for digital transformation projects and standardized data exchange.
Linked Knowledge
Knowledge graph & semantics
- Important knowledge is not always directly embedded in the content but often emerges from the context—knowledge graphs make this metadata accessible.
- Semantic networks model information concepts, product variants, and features, enabling the analysis of complex relationships.
- The plusmeta Platform operates within the context of the knowledge graph and, for example, assigns only suitable components or automatically identifies manufacturers and target markets.
- Flexible import mechanisms and a visual editor enable the intuitive expansion and modeling of your own knowledge graph.
Leveraging AI productively – but how?
Many companies want to use AI—but without concrete use cases, a clean data foundation, and the right processes, the added value remains elusive. In our white paper, we show how the productive use of AI in technical documentation is already a reality today: from automated metadata management in the CCMS to the organization of supplier documentation, all the way to the provision of standards-compliant data packages and the foundation for reliable chatbot responses.
The plusmeta Platform handles the crucial groundwork: with AI-supported classification, automatic metadata assignment, and intelligent workflows, it creates the foundation for scalable, standards-compliant, and reusable documentation processes.
In our white paper, we show how this works in practice—and why structured metadata is the key to productive AI use—through six concrete application examples.
How to take your documentation processes to the next level:
Take your technical documents to the next level!
- Benefit from automated metadata assignment and unlock a wide range of new applications.
- Generate additional value by extracting corporate knowledge.
- Stand out from your competitors by implementing modern industry standards.
Automatic, fast, and secure—the AI boost for technical documentation and after-sales & service.
Schedule your appointment with an expert now!
Choose the optimal level of performance and
connectivity for your digitization project
plusmeta Professional – Smart LLM Features and Advanced Automation
Expand the capabilities of your plusmeta Platform with additional automation options for metadata extraction. Become even more productive with our LLM-based features, such as plusmeta Insights and API-based automation.
Includes all features of plusmeta Basic
plusmeta Premium – For Maximum Productivity
Our solution for collaborative work across larger teams. Maximize productivity with advanced conversion and merging features, LLM-based automatic translation and synonym search, additional collaboration options for sharing projects with external parties, and single sign-on (SSO).
Includes all features of plusmeta Professional
Frequently Asked Questions About plusmeta:
The plusmeta Platform is a cloud-based AI solution that enables you to automatically analyze, structure, and enrich technical documents with metadata. This lays the foundation for “smart information” that can be made available across various systems and use contexts in a targeted way.
plusmeta is used in fields such as technical documentation and information management—for content management and CCMS scenarios (e.g., the classification of topics and nodes, as well as integrations such as SCHEMA ST4), for the digital data chain (including preparation and transfer to target systems), and for assigning documents to machines and systems as a basis for digital applications.
plusmeta supports the implementation of key standards for the standardized provision of technical manufacturer information—in particular VDI 2770 and iiRDS.
The VDI Guideline 2770 defines requirements for classification, metadata scope, structure, and permissible file formats for digital manufacturer information. An important aspect is the provision of information in archive-compatible formats (e.g., PDF/A) to ensure that documents remain readable and searchable over the long term.
iiRDS (Intelligent Information Request and Delivery Standard) enables information-centric, modular delivery of technical content. Depending on the target system and use case, hybrid packages may also be appropriate, as iiRDS and VDI 2770 are aligned in practice.
The Asset Administration Shell (AAS) is the standardized digital twin for Industry 4.0 components. An important aspect of this is the AASX package format, which bundles submodels, metadata, and associated documents into a structured, machine-readable unit.
plusmeta takes a pragmatic approach to AI: tailored to each piece of metadata and depending on the source documents, the platform combines different methods to achieve the best possible quality and performance. These include rule-based methods, pattern recognition (e.g., based on defined text and structural patterns), knowledge graph approaches, machine learning methods, and, increasingly, large language models (LLMs).
Rule-based methods deliver fast, reproducible results, especially when value lists and clear rules are available. Machine learning methods complement them in more complex cases. LLMs are used selectively for suitable tasks (e.g., language tasks such as translation or semantically demanding use cases)—always with a focus on delivering reliable results for operational use.
Our customers regularly report time savings of up to 80%. The actual extent of these benefits depends on the specific starting point—such as document types, data quality, existing metadata, the target standard, and the desired level of quality.
One thing is certain: plusmeta not only speeds up the process but, more importantly, ensures greater process reliability and more consistent results. The AI handles the analysis and provides metadata suggestions; your subject matter experts review, correct them if necessary, and approve the results. This typically shifts the workload from manual data entry to review and approval.
plusmeta is designed for a wide range of industries—anywhere large volumes of technical documents need to be efficiently structured, classified, and made available in standardized formats. The plusmeta website highlights the following industry solutions:
Mechanical engineering: Preparation, digitization, and standardized delivery of technical documentation. Content from various sources can be standardized and transferred to target applications such as DMS, content delivery platforms, and service portals.
Plant engineering: Support throughout the project documentation process—from the compilation and integration of supplier documents to the generation of required exchange formats (e.g., iiRDS and VDI 2770), including document nesting.
Plant operators: Support for operations and information availability—from existing documents and documentation portals to the digital data chain and digital applications.
Process industries: plusmeta supports a wide range of use cases, including integration of the digital data chain, digitization and structuring of documentation for existing plants, and the creation of digital twins.
Automation technology: Support for Industry 4.0-driven requirements, including the digital data chain, digital twins, content delivery and service portals, and standards such as iiRDS and VDI 2770.
Government agencies: Support for large document collections—from digitization and metadata enrichment to structured storage in DMS and the consolidation of heterogeneous sources.
At plusmeta, “intelligent information” refers to content that is not merely available as a static document, but is described with metadata in a way that allows it to be precisely located, filtered, combined, and delivered in different contexts.
In practice, this means that metadata is assigned—where appropriate—not only to the document itself but also to information units (e.g., topics, nodes, or fragments). This allows content to be used modularly, for example in CCMS structures, content delivery scenarios, or in connection with digital data chains and digital applications.
In addition, metadata assigned to documents and information units provides an important foundation for precise and powerful LLM-based chatbots. When used in a RAG architecture, this metadata can significantly improve retrieval of the response context.
The human-in-the-loop (HITL) approach is a core quality principle at plusmeta: AI automates analysis and metadata assignment, while subject matter experts remain involved in the review and approval process.
A typical workflow looks like this: the platform generates metadata suggestions, and your experts review the results—either comprehensively or on a sample basis, depending on risk and use case—and then approve or correct them. This combines automation with traceable quality assurance, ensuring technically sound and process-reliable results. Collaboration takes place in a continuous feedback loop: the AI automatically delivers results and metadata suggestions, humans review or correct them, and the system can continuously improve its performance based on this feedback. For ongoing quality assurance, plusmeta recommends that results be reviewed by a human, at least on a random basis.
This approach combines human intuition and expertise with machine processing power. Humans remain part of the decision-making process and help ensure that AI systems operate more reliably, transparently, and securely. plusmeta solutions therefore enable modern applications based on intelligent data, supported by this human-in-the-loop collaboration with AI.
