AI & automation
AI agents, MCP servers and LLM integration – securely embedded in existing systems with guardrails.
Technologies and methods
Artificial intelligence
OpenAI · Anthropic Claude · Google Gemini · Mistral · DeepSeek · Perplexity · OpenRouter · Groq · Ollama · vLLM · LM Studio · Azure OpenAI · Amazon Bedrock · Model Context Protocol (MCP) · AI agents & agent skills · LangChain · Embeddings & RAG · Whisper · OCR · Hugging Face · PyTorch · Guardrails · LLM evaluation & benchmarks · Crawl4AI · SearXNG · Generative engine optimization
Four phases with clear deliverables
- Phase 1: Analysis. System landscape, dependencies and regulatory frame as a solid baseline.
- Phase 2: Design. Target picture, architecture and delivery plan with milestones, risks and compliance controls.
- Phase 3: Delivery. Iterative, automated and measurable – together with your teams.
- Phase 4: Handover. Stable operations, complete documentation and enabled teams.
All twelve services are listed in the services overview; a short request is enough for a first conversation.
Frequently asked questions
How does a collaboration start?
With a short request. We reply within two working days with a proposal for a no-obligation first conversation.