Solutions and
Case Studies
Tailored to your needs.
Data Agents
Powerful agents for intelligent extraction, indexing, and storage of your business data
Agentic RAG Systems
Ready-to-use Agentic RAG solutions, waiting to be tailored to your needs
On-Premise / Edge Devices
Resource-efficient solutions for specialized applications that require maximum security
Continuous AI Model Maintenance
Optimized approaches for model updates, configurations, and operation
Specialized AI Models
Models tailored to your needs from our in-house model family
Conversational AI
AI tailored to your company’s brand image for your customers’ digital touchpoints
Built to Meet Your Needs
We adapt AI to your processes, not your processes to AI
End-to-End Pipelines
We understand your data, processes, and requirements.
A discovery workshop shows where AI delivers real value and which solution is right for you.
Data Sovereignty and Compliance
We build, train, and test interactively.
You’ll see progress in sprints. Feedback is incorporated directly.
No surprises at the end.
Explainability Instead of a Black Box
The solution goes live on your infrastructure.
We support you with integration, training, and optimization. You’re not left on your own.
Our Case Studies
Automated Ticket Processing for the ZSVR
The ZSVR receives numerous inquiries every day regarding legal matters, technical issues, and support. VAGO has developed a pipeline that handles these inquiries completely autonomously—from receipt to the sent response—all on the agency’s own servers.
- Classifier with over 90% accuracy
- RAG-powered response generation
- Fully on-premises, with no cloud dependency
The knowledge was always there. It just never responded.
At FRICKE Abfülltechnik, valuable information was stored in wikis and email threads, yet it remained impossible to find. VAGO changed that: with an RAG architecture that responds to natural questions with precise answers.
- Semantic search instead of keyword guessing
- Metadata filtering for higher search accuracy
- Integration with existing wiki and email systems
Approval processes that review themselves. Almost.
Reviewing application documents, checking for completeness, preparing the basis for decisions: In the BMDS SPARK project, VAGO, in collaboration with PwC, has developed AI modules that handle exactly that. The final decision remains with humans.
- Automated completeness and plausibility checks
- AI-supported legal doctrine with a legal database
- Open source available on openCode
Interpreting satellite imagery—no degree in geodata required.
Earth observation data is highly relevant for municipalities, planning firms, and NGOs, but is rarely accessible. In the ESA project ac-URBAN, VAGO is developing AI components that enable complex geospatial data analysis using natural language.
- Natural Language as a Gateway to Geodata Analysis
- Explicit, reproducible process chains
- Fully open-source-based architecture
An AI that doesn't just respond—it asks questions in return.
As part of the MINTIFY research project, VAGO is developing an AI demonstrator for financial education that adapts to users’ knowledge levels and personal documents, interacts via voice, and evaluates its own responses.
- Multimodal interaction via text and speech
- RAG with user-provided files and OCR support
- Integrated judgment panel for quality assurance
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Let’s develop your AI solution together. All it takes is a conversation.
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