Custom LLM Solutions & Chatbots
We develop tailor-made LLM solutions: internal knowledge assistants, customer chatbots and research agents based on your own data. Optionally EU-hosted (Azure OpenAI, Mistral) or on-premise (Llama-based) — including retrieval-augmented generation (RAG), guardrails and auditing.
A generic chatbot impresses in a demo but fails in daily use as soon as your specific knowledge is involved — your products, contracts, policies, tickets. The difference lies in the connection to your data. With retrieval-augmented generation the language model accesses your documents in a targeted way and answers with source references instead of guessing. This makes answers verifiable and drastically reduces hallucinations.
Data protection is not an afterthought here. We host models in the EU or on-premise, separate tenants cleanly and apply guardrails that define what the assistant may and may not do. Your users' permissions are respected — nobody gains access via the AI detour to documents they would not normally be allowed to see.
Whether an internal knowledge assistant for support, a customer chatbot with escalation to real staff, or a research agent for specialist departments: we embed the solution into your existing system landscape and, on request, operate it permanently — with monitoring of quality and cost.
Concrete deliverables
Frequently asked questions.
Still have open questions? We're happy to clarify them in an initial call.
- Through retrieval-augmented generation: the model answers solely based on your stored documents and cites the source. Guardrails additionally limit what the assistant provides information about at all.
- Yes. Hosting is EU-based or on-premise, tenants are separated and existing access rights are respected. Your data is not used to train public models.
How do you prevent the AI from making things up?
Does our data stay confidential?
Let's talk about your project.
Free initial consultation, 30–45 minutes, remote. An honest assessment — even if the answer is that you don't actually need it.