PANTOPIX SPHERE x Graphwise

The fastest way to PANTOPIX SPHERE

The Graphwise Edition combines PANTOPIX SPHERE with leading Knowledge Graph technology – for quick access to connected corporate knowledge.

The Graphwise Edition is a preconfigured version of PANTOPIX SPHERE that combines all the central components for building a semantic knowledge base.

The integration of Graphwise GraphDB and Graphwise Graph Modeling provides companies with a ready-to-use basis for knowledge graph, semantic modeling and AI applications – without having to license additional individual tools.

Advantages at a glance

Quick access to connected product knowledge with the Graphwise Edition

Preconfigured and ready to use immediately

The Graphwise Edition already includes key components such as GraphDB and Graph Modeling, providing a ready-to-use foundation for building a knowledge base.

Integrated knowledge graph technology

With GraphDB and Graph Modeling, powerful tools for data modeling, semantic linking and governance are directly available - tailored to the PANTOPIX SPHERE architecture.

Networked information and central control

Information is linked across systems and controlled via a central knowledge layer instead of distributed integration logic and isolated systems.

Basis for reliable AI applications

A semantic knowledge base enables precise, comprehensible AI and creates the basis for automation and digital processes. AI agents can be seamlessly integrated into the architecture.
Graphwise GraphDB is a scalable RDF graph database for semantic knowledge graphs. It supports the linking and querying of structured databases.
Graphwise Graph Modeling is a tool for managing taxonomies and ontologies. It supports the structured modeling and maintenance of semantic information.

Linked knowledge in practice

From Platform to Real Use Cases

PANTOPIX SPHERE provides the foundation for intelligent information delivery. Company-wide technical information can thus be used consistently in different applications.

Digital Information Twin & Digital Product Passport (DPP)

Product information, evidence and regulatory data are linked across systems and provided in a common context. This creates a consistent basis for the Digital Information Twin and the Digital Product Passport.

Product Navigator in Sales

Complex product structures become transparent and intuitive to navigate. Relationships between variants, components and dependencies can be understood more quickly and used in a targeted manner.

AI chat for service and support

Users ask questions in natural language and receive precise, context-related answers. Access to structured knowledge significantly reduces the search effort and improves the quality of service and support.

Strategic partnership

Knowledge graph technology and platform combined in one integrated solution

PANTOPIX and Graphwise combine their strengths in a strategic partnership to provide companies with a powerful and integrated basis for connected knowledge. Graphwise – the merger of Ontotext and Semantic Web Company – stands for many years of experience in the areas of graph databases, ontologies and semantic technologies.

PANTOPIX combines these technologies into an intelligent knowledge platform that brings together information from different systems in a central knowledge layer, thus creating the basis for applications, processes and AI to reliably access corporate knowledge.

Create the basis for networked knowledge and AI - with the PANTOPIX SPHERE Graphwise Edition.

Technical strengths

Why the Graphwise Edition creates a future-proof IT architecture

The Graphwise Edition of PANTOPIX SPHERE reduces the complexity of distributed system landscapes and creates a central knowledge base for data and applications.

Semantic structuring, continuous data flows and standardized interfaces create a scalable and future-proof architecture.

Central knowledge layer

A knowledge graph bundles information across systems and creates a consistent single source of truth.

Semantic consistency

Information is not only stored, but also correlated and made usable in the right context.

Standardized interfaces

APIs enable access to knowledge for applications, portals and AI.

Automated data processing

Data is continuously integrated, transformed and kept up to date - even with growing data volumes.

Metadata-based organization

Metadata ensures the subject-matter classification of information and improves the discoverability, consistency and quality of AI-based applications.

Context-based AI (GraphRAG)

The Knowledge Graph provides the structured context for comprehensible and precise AI applications.

Knowledge bases for AI

RAG or GraphRAG: Which knowledge base provides reliable AI answers?

Retrieval Augmented Generation (RAG) is the first step for many companies to link LLMs with their own information. However, classic RAG quickly reaches its limits when it comes to complex, connected company knowledge.

GraphRAG combines RAG with knowledge graphs to create significantly more context, consistency and control.

Up to 40 % better answers through real context

Current studies show that AI models deliver significantly more precise results when they are based on structured knowledge: While direct queries on databases only achieve a low hit rate, accuracy increases significantly with a knowledge graph as a basis.

The additional context makes all the difference - for comprehensible and reliable answers.

Classic RAG finds information

Documents are passed to an LLM as context using vector representations. This approach typically presents the following challenges:

  • No explicit understanding of relationships and context
  • Inconsistent answers to similar questions
  • Hallucinations possible despite retrieval
  • Low comprehensibility of the answers
  • Limited suitability for complex corporate knowledge

GraphRAG understands connections

A knowledge graph, on the other hand, explicitly models entities, relationships, and rules. RAG specifically accesses this knowledge. This offers the following advantages:

  • Significantly higher contextual reference
  • Consistent AI responses across different queries
  • Fewer hallucinations due to explicit knowledge models
  • Explainable & comprehensible answers: Sources, relationships and decision-making logic are transparent
  • Stable foundation for scalable AI applications

Our approach

Step by step
to the PANTOPIX SPHERE Graphwise Edition

Start with initial use cases and expand the platform step by step. From the idea to technical validation and a scalable solution, this creates a sustainable basis for your applications and AI.

Consulting

Identify use cases and understand requirements

Together, we analyze your initial situation and identify specific use cases. In doing so, we focus on rapid added value and a clear objective for the use of PANTOPIX SPHERE.

Proof of concept

Validate feasibility and make potential visible

In the proof of concept, we show the technical feasibility and demonstrate how your data can be converted into connected knowledge. In this way, we create a sound basis for decision-making for the next steps.

MVP & Scale-Up

Implement initial solutions and expand in a targeted manner

The first productive use case is created with a minimum viable product (MVP). Building on this, PANTOPIX SPHERE is gradually expanded and rolled out to other use cases and areas.

Contact person

Our expert for PANTOPIX SPHERE

Maximilian Gärber

Maximilian Gärber

Partner & Technical Consultant

FAQ

Frequently asked questions about the PANTOPIX SPHERE Graphwise Edition

What is the PANTOPIX SPHERE Graphwise Edition?

The Graphwise Edition is a preconfigured variant of the PANTOPIX SPHERE that already integrates key components for building a semantic knowledge base.
It combines the SPHERE with Graphwise’s knowledge graph technology and thus enables a quick and structured introduction to networked knowledge and AI applications.

The Graphwise Edition offers a preconfigured start with integrated knowledge graph technology. In comparison, PANTOPIX SPHERE can also be set up and expanded individually. Both approaches are based on the same platform and can be flexibly developed further depending on requirements.
Graphwise is the merger of Ontotext and Semantic Web Company and is one of the leading providers in the field of knowledge graph and semantic technologies. In the Graphwise Edition, Graphwise provides the underlying technology for graph databases and ontology management, which is integrated into the platform by PANTOPIX.
The Graphwise Edition includes PANTOPIX SPHERE as the central platform as well as the integrated GraphDB from Ontotext and the Ontology Manager PoolParty. This is supplemented by connectors, data processing and functions for the structured use and provision of information.
The preconfigured solution enables a quick start without the need for time-consuming selection and integration of individual technologies. Central components are already coordinated with each other so that the first use cases and the development of a knowledge base can begin immediately. The Graphwise Edition is particularly suitable for AI applications that require company-wide product information.
No. GraphDB and the Ontology Manager PoolParty are already integrated in the Graphwise Edition. This eliminates the need to select, procure and integrate these technologies separately.
Existing source systems such as CCMS, ERP, PIM, SharePoint or other data sources can be connected. Both structured and unstructured information can be integrated and continuously updated via standardized interfaces (connectors).

The Graphwise Edition is particularly suitable for getting started with Knowledge Graph, AI applications and the structured use of corporate knowledge.
Typical areas of application include Digital Product Passport, Product Navigator, AI-supported applications and content orchestration. You can read more use cases here.

Yes, the Graphwise Edition forms the basis for the further expansion of SPHERE. Zusätzliche Funktionen, Anwendungen und Integrationen können schrittweise ergänzt werden, sodass die Plattform mit den Anforderungen im Unternehmen wächst.
Graphwise Edition creates a structured knowledge base in which information is semantically linked and provided in the right context. This allows AI to access consistent and traceable data, which significantly improves the quality and reliability of the results.

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