AI software, local AI and LLM operations from one source
We design, build and operate AI systems that run in production: internal assistants, RAG, agents, LLM gateways, GPU servers, AI Cubes and open-source AI stacks.
Local AI
Run models where the data lives.
Open Source
Stack without unnecessary platform lock-in.
Operations
Monitoring, updates and operations included.
Leading companies worldwide trust WZ-IT
AI projects need software and operations maturity
Proof for production deployments, architecture decisions and ongoing operations around modern software stacks.
AI as a software system, not a tool collection
Production AI needs application layer and operations: model access, data context, permissions, monitoring, cost control and updates have to be designed together.
Application
Assistants, agents, UX, permissions and integration into existing software.
Inference
Ollama, vLLM, GPU sizing and model operations.
RAG
Qdrant, embeddings, data preparation and retrieval quality.
Access
LiteLLM, API keys, budgets, SSO and network boundaries.
Observability
Langfuse, traces, costs, evaluations and audits.
Operations
Monitoring, backups, updates, security and SLA.
AI Services
From AI feature to operations. Not a demo stack, but software and infrastructure for real workloads.
AI Software Development
Integrate AI features, internal assistants and agents directly into your portals, dashboards and business apps.
Learn moreRAG Pipelines
Data preparation, embeddings, retrieval, access control and answer quality.
Learn moreLLM Hosting
Operate models, APIs, web UIs and gateways on controlled infrastructure.
Learn moreAI Cube
Local AI inference in the office, without a rack and without external data transfer.
Learn moreGPU Server
Dedicated hardware for inference, training, fine-tuning and larger model workloads.
Learn moreManaged AI Service
Monitoring, updates, cost control and operations for production AI stacks.
Learn moreOpen-Source AI Stack
Core components for local inference, RAG, gateway, observability and vector search.
Ollama
Local inference engine
Run and manage models locally and expose them through APIs.
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Open WebUI
Chat and admin interface
User interface for local models, teams, tools and document chat.
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AnythingLLM
Enterprise RAG app
RAG system for documents, workspaces, agents and knowledge bases.
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LiteLLM
Multi-LLM gateway
Central API layer for routing, budgets, keys and provider fallbacks.
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Langfuse
LLM observability
Tracing, prompt management, evaluations, cost and quality control.
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Qdrant
Vector database
Semantic search and retrieval layer for production RAG systems.
View expertiseOperations experience from cloud, open source and IoT
We do not operate infrastructure only on slides. WZ-IT delivers cloud, open-source and software stacks; with merkaio we run IoT and remote-site systems for real sites such as ABCO Water and nextGYM. That practice feeds into local AI infrastructure.
- Sovereign infrastructure on owned or European platforms
- Open-source components with clear license and operations assessment
- Monitoring, updates, backups and security as part of the architecture
Typical starting points
The hub leads into the relevant services and technology pages. Depending on the situation, we start with hardware, model operations, RAG or observability.
Local, cloud or hybrid?
Not every use case needs dedicated GPUs. The relevant factors are data protection, latency, cost, model size and operations responsibility. We size the stack to the risk and workload.
Planning an AI stack?
Send us the use case. We will respond with a pragmatic view on architecture, hardware and operations.
AI projects need software and operations maturity
Proof for production deployments, architecture decisions and ongoing operations around modern software stacks.
What do our customers say?
Let's Talk About Your Idea
Whether a specific IT challenge or just an idea - we look forward to the exchange. In a brief conversation, we'll evaluate together if and how your project fits with WZ-IT.
Leading companies trust WZ-IT
Timo Wevelsiep & Robin Zins
Managing Directors of WZ-IT