AI for R&D

Your team is running AI experiments, but no one has defined which tools are allowed, which data can be used and who owns the output. Your knowledge lives in documents, inboxes and experienced people's heads. You want AI to make your R&D and regulatory work faster, in a way that is compliant, auditable and actually useful.

I work in three steps: train the people, govern the use with clear rules, and where data must stay in-house, host the models on your own hardware. A monthly discussion group helps you stay current.

Train: AI Kickstart for R&D

A four-hour live online course for chemists, scientists and R&D managers: prompting, AI tools for the lab, the EU AI Act and validating AI output. In German or English, on open dates or in-house for your team.

Govern: AI strategy workshop

For senior management and project leads: which use cases, which tools, which data, and who decides. Format and duration depend on your organisation. Price on request.

Host: on-premise AI server

For organisations that want to use AI in a governed, data-sovereign and compliant way, without sending proprietary content to public cloud systems.

I design and implement on-premise AI server solutions and RAG architectures (RAG: Retrieval-Augmented Generation, AI that answers from your own verified documents, not from guesswork) built on your document library. I train your teams to use them effectively and build the governance framework that makes the output compliant and auditable. Price on request.

The result: your senior expertise gets multiplied, not replaced.

Stay current: AI Masterclass

A monthly discussion group on AI in the natural sciences, by invitation only. Members share what works: best practices, real use cases, what remains once you subtract the hype, what AI means for your profession, legal and organisational guardrails, privacy and local AI with OpenWebUI.

The group meets in German. If enough people are interested, we will start a group in English.