Munich AI Build Studio
Shipped into your stack, measured against your P&L. Your cloud or ours.
People
Led Google's business with some of its largest global accounts. Corporate Strategy at SAP. LSE & Chicago Booth. Translates AI capability into P&L outcomes.
Engineered Applied AI at Google. Led Europe Consumer Analytics at adidas. Architects production AI that survives the most rigorous quality checks.
Built by alumni of
Recent work
Each one running inside a business-critical workflow, and measurable against it.
In production
Catches AI hallucinations before anyone sees them. Proprietary workflow combining LLM and non-LLM verification, 100+ research steps running in parallel. Only claims backed by trusted sources make it through.
Business impact: built into the investment committee workflow. Every memo audit-ready and citable before it reaches a partner.
Fact-check pipeline · Cross-source ledger · Production
Custom build
Custom deep-research agents that turn a one-line brief into a fully cited dossier. Tuned to your domain, your sources, your taxonomies. Verifiable claim by claim.
Business impact: weekly research cycles compressed to same-day. Analyst hours freed for the judgment work that earns the fee.
Custom agents · Cited dossiers · Domain-tuned
Live online privma.com
Largest context layer yet for best-in-class chatbot results. Fully GDPR-compliant, EU-hosted, LLM-agnostic. Prevents vendor lock-in by design.
Business impact: built to the EU's DMA portability standard. Compute-efficient architecture designed for clients who can't accept vendor lock-in.
Article 20 portability · EU jurisdiction · Open by design
Approach
How we work
Data flow, evaluation, failure modes designed before launch.
Success metrics agreed before we build. Every iteration judged against them.
Eval, monitoring, rollback. Built to run on its worst day, not its best.
Your team can read, run, modify what we leave. No retainer trap.
What we don't do
The deliverable is a system running against your real data.
No path to production, no start.
Model, provider, vector store, retrieval. Every layer designed for substitution.
If a simpler tool solves the problem, we'll say so.
Contact
Tell us about the context.