Connect data. Use knowledge. Improve decisions.

Better decisions from complex information

TVG – Technische Visualistik GmbH develops AI systems from Magdeburg, Germany, connecting data, documents, DIN standards, sensor information and expert knowledge. Our systems support companies, public institutions and research partners across Germany.

DIN Solution
Audi
Festo Festo
BMW Group
Fraunhofer Fraunhofer
BASF BASF
Liebherr Liebherr

Services

AI systems for data, knowledge and decision processes

We connect structured and unstructured information in a shared knowledge and decision space. Depending on the task, we combine RAG, knowledge graphs, data fusion, sensor fusion and agentic AI workflows.

Decision support and intelligent information systems

Decision-support systems combine data, expert knowledge and decision logic. They provide relevant information in a traceable form and support domain experts in complex decisions.

  • Model decision logic
  • Connect data sources
  • Make results traceable

RAG systems, knowledge graphs and standards knowledge

RAG systems access knowledge from documents, DIN standards and internal data sources with direct source references. Knowledge graphs connect terms, requirements and relationships in a structured knowledge model.

  • Extract requirements and knowledge
  • Enrich knowledge semantically
  • Develop RAG and knowledge systems

Data fusion, forecasting and AI-based assessment

Data fusion combines measurement, process, sensor and contextual data into a unified information picture. AI models identify patterns, deviations and relevant relationships for forecasts and assessments.

  • Combine data sources
  • Detect patterns and deviations
  • Derive forecasts and assessments

Multimodal AI and sensor fusion

Sensor fusion and multimodal AI combine image, sensor, text and process data. This enables technical states to be captured comprehensively and assessed within their context.

  • Connect image and sensor data
  • Apply computer vision
  • Assess states and quality

AI architecture and knowledge engineering

Agentic AI systems coordinate models, tools, data sources and domain logic across defined workflows. Knowledge engineering provides the structured knowledge and data models behind them.

  • Analyze decision processes
  • Design knowledge graphs
  • Design agent and AI architectures

Integration and continuous development

We integrate AI and knowledge systems into existing data, process and IT landscapes and continuously develop them as requirements evolve.

  • Connect interfaces
  • Evolve systems
  • Maintain knowledge bases

Experience and industries

By engineers, for builders

"TVG developed an exceptionally powerful classifier for us that exceeded our expectations. We were particularly impressed by the competent and reliable collaboration throughout the entire project. The team understood our problem quickly and precisely and delivered a solution that clearly stands apart from previous approaches. For us, TVG is a trusted, long-term partner!"

Normen Günzroth Head of Technology Services
DIN Solutions GmbH
Automotive Mechanical and plant engineering Manufacturing industry Research and development Testing and certification Public administration Energy sector Construction Transport and logistics
DIN Solution
Audi
Festo Festo
BMW Group
Fraunhofer Fraunhofer
BASF BASF
Liebherr Liebherr

References

Typical AI and decision support systems

These examples show typical challenges, methods and solution approaches from our projects in industry, standards and research.

NLP extraction for DIN standards texts
Documents and AI

Unlock DIN standards and expert knowledge with AI

For digital standards workflows, we use AI to unlock DIN standards: requirements are extracted, semantically structured and connected with expert knowledge. This creates machine-actionable standards knowledge for research, analysis and decision processes.

Analysis of vehicle measurement data
Industry and measurement data

Forecasts from vehicle and process data

We connect measurement, process and experience data to identify adaptation needs early and support decisions in vehicle engineering.

3D measurement of car parts
Quality assurance

Multimodal quality assessment with sensor fusion

We connect sensor data, image information and process context to assess quality states directly during operation.

RAG system interface
Knowledge systems and AI

RAG systems for enterprise and expert knowledge

RAG systems connect AI models with internal documents, data sources and expert knowledge and deliver evidence-based, context-aware information for domain decisions.

Bubble detection in an electrolysis process
Computer vision and research

Gas bubbles

We analyze high-speed recordings of electrolysis processes to evaluate bubble formation on different substrates and make efficiency differences visible.

Particle Tracking Velocimetry dashboard
Image processing and 3D reconstruction

Particle Tracking Velocimetry

We reconstruct particle trajectories in air flows to make vortex formation visible and evaluable for gas turbine optimization.

Workflow

From decision challenge to production-ready AI system

We jointly analyze decision processes, data sources and expert knowledge. The result is an AI system that connects information, makes results traceable and integrates into existing workflows.

Analyze the decision process

Capture and structure domain workflows, decision logic and relevant information sources together.

Model data, knowledge and context

Consolidate heterogeneous information, enrich it semantically and model it as a reliable knowledge base.

Develop a decision-support prototype

Build a focused prototype that validates data access, knowledge logic and decision support at an early stage.

Integrate the system close to production

Extend functionality step by step in the real operating environment and optimize it through user feedback.

Integrate securely into existing IT

Integrate AI, data and knowledge components into existing IT landscapes through defined interfaces.

Maintain knowledge, models and interfaces

Document and evolve models, knowledge bases, interfaces and system logic in a traceable way.

Want to connect data and knowledge for better decisions?

TVG – Technische Visualistik GmbH combines technological expertise in Magdeburg with projects and partnerships across Germany. We develop AI systems for decision support, RAG, knowledge graphs, data fusion, sensor fusion and agentic workflows. We focus on connecting data, DIN standards and expert knowledge into production-ready information and decision-support systems for industry, public administration and research. As part of the Technische Visualistik group, we work closely with our sister company GTV – Gesellschaft für Technische Visualistik mbH in Dresden. You can find an overview of the group at www.visualistik.de.

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