I work with small and medium-sized companies and cultural institutions in Germany and the DACH region to turn AI from a buzzword into competitive advantage — from identifying the right use cases to shipping production-ready systems.
For German SMBs & Mittelstand
Before writing a single line of code, we need clarity on where AI genuinely moves the needle. I run structured discovery sessions to map your workflows, data landscape, and competitive context — then produce a prioritised roadmap with realistic cost and timeline estimates.
Custom LLM-powered applications: document intelligence, internal knowledge assistants, customer-facing chatbots, and automated report generation. Focus is on reliability and maintainability — not demos that fail under production load.
Autonomous AI agents for complex, multi-step business processes — data extraction, competitive monitoring, compliance checks, and custom automation. Designed for your specific industry and operational context.
End-to-end infrastructure to train, evaluate, monitor, and redeploy models reliably — using Databricks, Azure ML, or open-source MLflow stacks depending on your environment and budget.
Tailored sessions for your team's technical level — from executive AI overviews to hands-on prompt engineering and LLM architecture workshops. Remote or on-site across the DACH region.
For Museums, Galleries & Archives
AI-powered cataloguing, metadata enrichment, and tagging for artwork and artifact collections. Transform decades of unstructured records into searchable, queryable knowledge systems.
Multilingual chatbots and interactive guides that answer questions about exhibits, artists, and provenance. Auto-generated image descriptions for visually impaired visitors. Content generation from existing collection data.
RAG systems that make historical documents, letters, and auction records searchable and queryable by curators and researchers — across thousands of scanned PDFs and digitised records.
Computer vision workflows for condition monitoring — detecting deterioration in high-resolution artwork scans and flagging items that need restoration attention.
Engagement Models
Structured assessment of your AI opportunities, data readiness, and a prioritised action plan.
Working proof-of-concept scoped to validate the highest-value use case before full commitment.
End-to-end build — from architecture through deployment, monitoring, and handover documentation.
Embedded advisory: model governance, team upskilling, architecture reviews, and strategic guidance.
Let's have a 30-minute discovery call — no sales pitch, just an honest conversation about your situation and what's realistically possible with AI for your organisation. Pricing is scoped individually after that conversation.
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