AI Consulting the right question first, then the right model.
We assess where AI brings real value in your business, evaluate the suitable models and tools and train your team. On request we then implement and operate the solution, from local models to the leading public LLMs.
AI rarely fails on models, mostly on the use case.
The right question first, then the right model.
Assess and evaluate first, then implement.
AI potential assessment
We look at your processes and tell you honestly where AI has a measurable impact and where it does not.
Evaluation & tool selection
Which models, tools and providers fit your use case, budget and data protection, assessed vendor-independently.
Training & enablement
Training and workshops so your team uses AI safely and sensibly, from tool selection to data-protection guardrails.
Use-case identification
We find the tasks in your business where AI brings the most value, instead of "something with AI".
Feasibility & data protection
Data basis, effort, risks and data protection assessed honestly, even when the answer is "not yet".
Integration & operation
On request we implement the solution and operate it, from the connection to your systems to ongoing operation.
We know, compare and advise on the leading AI services.
Local, open and public models, depending on the use case.
We are vendor-independent and choose the model by task, data protection and budget. For data worth protecting we rely on locally runnable, open models, among the most widely used:
With RAG (retrieval-augmented generation) we let these models answer on your own knowledge, precise and traceable, without the data leaving the house.
Highest data protection, with data location Switzerland.
Which model we recommend depends above all on your data. Data worth protecting we process with local models on Swiss infrastructure, public LLMs we use specifically where the data is uncritical, always with your consent.
- Local LLMs on Swiss hardware, your data does not leave the country.
- Public LLMs only for uncritical data, transparent and with your approval.
- RAG keeps the knowledge base with you, not with the model provider.
- Architecture by protection class: local, hybrid or public, case by case.
What companies ask about AI consulting.
Consulting clarifies whether and where AI pays off for you: assess potential, evaluate models and tools, train staff. Integration then implements and operates the solution. You can start with the consulting and decide later whether we also implement.
No. For data worth protecting we use local, open models on Swiss infrastructure. Public services like Claude, ChatGPT or Gemini we use only where the data is uncritical, and always with your consent. More on this on our AI infrastructure page.
We are vendor-independent. Depending on task, data protection and budget we use public LLMs (Claude, ChatGPT, Copilot, Gemini, Perplexity, DeepSeek) or open, locally runnable models such as Llama, Mistral, Qwen, Gemma and DeepSeek, often combined with RAG.
Yes. We train teams in the sensible and safe use of AI, from tool selection to writing good prompts to data-protection guardrails, tailored to your use cases.
No. We rely on open models and standard tools, document the architecture and hand over fully on request. No proprietary lock-in.
Where does AI really pay off in your business?
We assess your potential, evaluate the suitable models and train your team, pragmatic and vendor-independent.