Alexander Thamm vs Probayes: full comparison for 2026
Last updated: July 2026
Quick verdict
Alexander Thamm (4.6/5) edges ahead of Probayes (4.1/5) overall. Alexander Thamm is the better choice for german and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery. Probayes is the stronger option for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise. The right choice depends on your project size, budget, and required tech stack.
Alexander Thamm vs Probayes: head-to-head summary
| Criterion | Alexander Thamm | Probayes |
|---|---|---|
| Founded | 2012 | 2003 |
| HQ | Munich, Germany | Montbonnot-Saint-Martin (Grenoble), France |
| Team size | 201–500 | 51–200 |
| Rating | 4.6 / 5 | 4.1 / 5 |
| Best for | German and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery | Automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise |
| Pricing model | Retainer, fixed project, dedicated team | Retainer, fixed project |
| Min. engagement | $30K | $25K |
| Primary tech stack | Python, Databricks, Azure | Python, R, Bayesian modeling frameworks |
| Industries served | Manufacturing, Automotive, Industrial IoT, Financial Services, Retail | Automotive, Defense, Financial Services, Healthcare |
Alexander Thamm vs Probayes: overview
Alexander Thamm
Alexander Thamm GmbH, founded in 2012 and headquartered in Munich, is one of Germany's most established data science and AI consultancies. With over 500 employees and partners across offices in Munich, Berlin, Cologne, Frankfurt, and Vienna, the firm has delivered over 2,000 data and AI projects (per company website; independently unverifiable), primarily for German industrial, automotive, and Mittelstand manufacturing clients. It combines AI strategy consulting with hands-on ML engineering delivery.
Probayes
Probayes, based in Montbonnot-Saint-Martin near Grenoble, France, is a private AI and data science company founded in 2003. With around 86 employees, Probayes specializes in Bayesian modeling, predictive analysis, and optimization for the automotive, defense, finance, and health sectors, making it one of the longest continuously operating AI-focused firms in this list.
Services and capabilities: Alexander Thamm vs Probayes
| Capability | Alexander Thamm | Probayes |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Alexander Thamm vs Probayes
| Framework / platform | Alexander Thamm | Probayes |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Alexander Thamm vs Probayes
| Criterion | Alexander Thamm | Probayes |
|---|---|---|
| Minimum engagement | $30K | $25K |
| Engagement models | Retainer, Fixed project, Dedicated team | Retainer, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Alexander Thamm vs Probayes
| Dimension | Alexander Thamm | Probayes |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Automotive, Industrial IoT | Automotive, Defense, Financial Services |
| Best use cases | Predictive maintenance for manufacturing equipment, Building an enterprise data and AI strategy roadmap | Predictive maintenance modeling for automotive systems, Bayesian risk modeling for finance or defense applications |
| Typical project type | Retainer | Retainer |
Alexander Thamm vs Probayes: pros and cons
| Alexander Thamm | |
|---|---|
| + | Over a decade of focused delivery for German industrial and automotive clients |
| + | 500+ person team spans strategy consulting through hands-on ML engineering |
| + | Multiple DACH-region offices for close client proximity |
| + | Long operating history since 2012 with a large volume of completed projects |
| - | Heavier consulting-led engagement model may add overhead versus lean engineering-only shops |
| - | Primary specialization in industrial and manufacturing use cases may be less suited to consumer tech projects |
| - | Larger team size means less founder-level attention on smaller engagements |
| Probayes | |
|---|---|
| + | Over two decades of operating history since founding in 2003, one of the longest-running AI specialists on this list |
| + | Deep, rigorous expertise in Bayesian modeling and predictive optimization rather than trend-driven AI positioning |
| + | Established presence in demanding regulated sectors like defense and automotive |
| + | Located in the Grenoble tech corridor, a recognized French deep-tech hub |
| - | Bayesian and predictive-analytics specialization is narrower than firms covering the full modern generative AI stack |
| - | Smaller regional presence in the Grenoble area versus Paris- or Amsterdam-based firms with broader visibility |
Who should choose Alexander Thamm?
Alexander Thamm is the right choice for german and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery.
Deep specialization in industrial and automotive ML use cases across the German Mittelstand. Minimum engagement starts at $30K. Works best with clients in Manufacturing, Automotive, Industrial IoT, Financial Services, Retail.
Who should choose Probayes?
Probayes is the right choice for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise.
Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom. Minimum engagement starts at $25K. Works best with clients in Automotive, Defense, Financial Services, Healthcare.
Decision matrix: Alexander Thamm vs Probayes
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Alexander Thamm |
| You need a large dedicated team for an ongoing programme | Alexander Thamm |
| Your budget is at the lower end | Probayes |
| You need specialist depth in a specific vertical | Alexander Thamm |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Alexander Thamm |
Use case fit: Alexander Thamm vs Probayes
| Use case | Alexander Thamm fit | Probayes fit | Winner |
|---|---|---|---|
| Predictive maintenance for manufacturing equipment | Strong | Strong | Both equally |
| Building an enterprise data and AI strategy roadmap | Strong | Limited | Alexander Thamm |
| Predictive maintenance modeling for automotive systems | Strong | Strong | Both equally |
| Bayesian risk modeling for finance or defense applications | Limited | Strong | Probayes |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Alexander Thamm vs Probayes
Alexander Thamm (4.6/5) is the stronger overall choice for most Machine Learning Development projects. Deep specialization in industrial and automotive ML use cases across the German Mittelstand. It is best for german and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery.
Probayes (4.1/5) is the better choice when automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise. If your situation matches those criteria, Probayes is a competitive option.
Related comparisons
Alexander Thamm vs Probayes FAQ
Is Alexander Thamm better than Probayes?
Alexander Thamm (4.6/5) scores higher overall, but "better" depends on your use case. Alexander Thamm is better for german and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery. Probayes is better for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise.
How do Alexander Thamm and Probayes differ in pricing?
Alexander Thamm uses retainer, fixed project, dedicated team pricing with a minimum engagement of $30K. Probayes uses retainer, fixed project pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Alexander Thamm or Probayes?
Alexander Thamm is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Alexander Thamm and Probayes?
Alexander Thamm's primary differentiator is: deep specialization in industrial and automotive ml use cases across the german mittelstand. Probayes's primary differentiator is: over two decades of specialization in bayesian ai and predictive analytics, predating the current ml and ai boom. They also differ in team size (201–500 vs 51–200), minimum engagement ($30K vs $25K), and primary industries served (Manufacturing, Automotive vs Automotive, Defense).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.