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The #1 AI agency in Munich

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appliedAI

Munich, Germany

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About

appliedAI is a Munich AI consultancy taking enterprises from strategy and maturity assessment through to production systems, with a stated focus on trustworthy AI and EU AI Act readiness.

Who They Work With

Industrial enterprises running an AI program that has to satisfy governance as well as engineering.

Based on 2 client engagements with a source URL · researched 4 Aug 2026

Our Take

The Maschinenfabrik Reinhausen build is the one to read: a large language model on a skills-based architecture over a RAG knowledge base, in production, publishing roughly 45x faster Q&A, 1500x on automated extraction and 90% accuracy on base-analysis extraction.

The published client list runs to Roche, Linde, Nokia, Vonovia and Giesecke+Devrient, and the G+D write-up tracks a named enterprise from "experimenting" to "practising" over two years rather than claiming a single win.

Much of the reference library is use-case pages—defect detection, dynamic pricing, anomaly detection—that describe capability rather than a named engagement, so the depth is uneven across it.

The weaker fit is a small team wanting a quick build: the offering is shaped around enterprise programs, maturity assessment and EU AI Act governance.

Key strengths

  • One of the few listed agencies publishing hard speedup and accuracy figures from a production system
  • AI Act and governance work is a stated practice line, not a blog topic
  • An agent program with a published three-month path to a production-ready agent

Good to know

  • Several reference pages describe use cases rather than named client engagements—ask which are live deployments
  • No published rates, headcount or founding year; budget for enterprise procurement
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 4 Aug 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: Maschinenfabrik Reinhausen and Giesecke+Devrient. All 2 carry a source URL on file.

Maschinenfabrik ReinhausenLLM with skills-based architecture and RAG knowledge base in production; ~45x faster Q&A, ~1500x automated extraction, 90% base-analysis accuracySource
Giesecke+DevrientTwo-year AI transformation program; published maturity movement from experimenting (2024) to practicing (2026)Source

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