Agency Comparison
Alexander Thamm vs appliedAI
Two top-rated AI Consulting agencies in Munich.
Comparison updated August 2026
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Alexander Thamm | appliedAI |
|---|---|---|
| Editorial score | 51.3/100 | Higher score: 64.3/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | ||
| Location | Munich, Germany | Munich, Germany |
| Founded | 2012 | — |
| Last reviewed | Aug 4, 2026 | Aug 4, 2026 |
What we said about each
Our take on Alexander Thamm
The largest AI consultancy on this register by some distance—over 500 staff across six German offices since 2012—and the published case studies match that scale: a multi-agent system for production and delivery prioritization reporting a 5% gain in delivery reliability, automated financial forecasting, laboratory knowledge management. Every one of those studies is anonymized. Volkswagen, Porsche, Deutsche Bahn and BVG appear on the client list, but none is attached to a piece of published work.
Reviewed Aug 4, 2026
Read the full assessment →Our take on appliedAI
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…
Reviewed Aug 4, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Alexander Thamm if you need
- disclosed specialization in Public Sector
- broader service offering — also covers AI Automation
Choose appliedAI if you need
- disclosed specialization in Healthcare
- broader service offering — also covers Generative AI
- a higher overall editorial score
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Alexander Thamm
Strengths
- Scale that is independently checkable—500+ staff, six offices, operating since 2012
- Publishes an outcome figure where most anonymized studies publish none (5% delivery-reliability gain)
- Maintains its own agent framework rather than assembling one per project
Watch-outs
- No case study names its client—ask for a reference in your industry you can actually speak to
- At this size the team that pitches is rarely the team that builds; ask who staffs the work
appliedAI
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
Watch-outs
- 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
Service coverage
Where the two overlap, and where each covers ground the other does not.
Only Alexander Thamm
Only appliedAI
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which has more Manufacturing experience, Alexander Thamm or appliedAI?
- Both agencies show documented Manufacturing work and have similar industry breadth. Compare directly on the agency profiles: Alexander Thamm and appliedAI.
- Which scores higher overall, Alexander Thamm or appliedAI?
- appliedAI scores 64.3/100, 13 points higher than Alexander Thamm at 51.3/100. See our methodology for how scores are calculated.
- When should I consider both Alexander Thamm and appliedAI?
- Consider running parallel discovery briefs with Alexander Thamm and appliedAI if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.