Alexander Thamm vs Siili Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
Alexander Thamm (4.6/5) edges ahead of Siili Solutions (3.7/5) overall. Alexander Thamm is the better choice for german and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery. Siili Solutions is the stronger option for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. The right choice depends on your project size, budget, and required tech stack.
Alexander Thamm vs Siili Solutions: head-to-head summary
| Criterion | Alexander Thamm | Siili Solutions |
|---|---|---|
| Founded | 2012 | 2005 |
| HQ | Munich, Germany | Helsinki, Finland |
| Team size | 201–500 | 501–1000 |
| Rating | 4.6 / 5 | 3.7 / 5 |
| Best for | German and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery | Nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner |
| Pricing model | Retainer, fixed project, dedicated team | Dedicated team, retainer, fixed project |
| Min. engagement | $30K | $30K |
| Primary tech stack | Python, Databricks, Azure | Python, Java, AWS |
| Industries served | Manufacturing, Automotive, Industrial IoT, Financial Services, Retail | Enterprise, Telecommunications, Financial Services, Retail |
Alexander Thamm vs Siili Solutions: 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.
Siili Solutions
Siili Solutions Oyj, founded in 2005 and headquartered in Helsinki, Finland, is a publicly listed IT consultancy on Nasdaq Helsinki (ticker SIILI) with 500 to over 1,000 employees across 19 locations. Siili offers software development, digital transformation, and machine learning services, and expanded its AI and digital product capabilities in part through its 2020 acquisition of Budapest-based Supercharge, disclosed here as an ownership change affecting Siili's broader group structure.
Services and capabilities: Alexander Thamm vs Siili Solutions
| Capability | Alexander Thamm | Siili Solutions |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Alexander Thamm vs Siili Solutions
| Framework / platform | Alexander Thamm | Siili Solutions |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Alexander Thamm vs Siili Solutions
| Criterion | Alexander Thamm | Siili Solutions |
|---|---|---|
| Minimum engagement | $30K | $30K |
| Engagement models | Retainer, Fixed project, Dedicated team | Dedicated team, Retainer, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Alexander Thamm vs Siili Solutions
| Dimension | Alexander Thamm | Siili Solutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Automotive, Industrial IoT | Enterprise, Telecommunications, Financial Services |
| Best use cases | Predictive maintenance for manufacturing equipment, Building an enterprise data and AI strategy roadmap | Enterprise digital transformation with an ML component, Nordic-region software development and data engineering |
| Typical project type | Retainer | Dedicated team |
Alexander Thamm vs Siili Solutions: 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 |
| Siili Solutions | |
|---|---|
| + | Publicly listed on Nasdaq Helsinki, providing financial transparency and stability signals |
| + | Two decades of operating history since founding in 2005, with a large, established Nordic footprint |
| + | 19 office locations support broad European coverage and delivery flexibility |
| + | Expanded AI and digital product capability via its 2020 acquisition of Supercharge in Budapest |
| - | AI and ML is one practice within a much broader generalist IT consultancy portfolio |
| - | 2020 acquisition of Supercharge represents a group ownership change worth understanding before engaging that subsidiary specifically |
| - | Larger public-company structure may mean less flexibility than privately held boutiques |
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 Siili Solutions?
Siili Solutions is the right choice for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms. Minimum engagement starts at $30K. Works best with clients in Enterprise, Telecommunications, Financial Services, Retail.
Decision matrix: Alexander Thamm vs Siili Solutions
| 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 | Alexander Thamm |
| 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 Siili Solutions
| Use case | Alexander Thamm fit | Siili Solutions fit | Winner |
|---|---|---|---|
| Predictive maintenance for manufacturing equipment | Strong | Limited | Alexander Thamm |
| Building an enterprise data and AI strategy roadmap | Strong | Limited | Alexander Thamm |
| Enterprise digital transformation with an ML component | Strong | Strong | Both equally |
| Nordic-region software development and data engineering | Limited | Strong | Siili Solutions |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Alexander Thamm vs Siili Solutions
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.
Siili Solutions (3.7/5) is the better choice when nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. If your situation matches those criteria, Siili Solutions is a competitive option.
Related comparisons
Alexander Thamm vs Siili Solutions FAQ
Is Alexander Thamm better than Siili Solutions?
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. Siili Solutions is better for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
How do Alexander Thamm and Siili Solutions differ in pricing?
Alexander Thamm uses retainer, fixed project, dedicated team pricing with a minimum engagement of $30K. Siili Solutions uses dedicated team, retainer, fixed project pricing with a minimum engagement of $30K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Alexander Thamm or Siili Solutions?
Siili Solutions 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 Siili Solutions?
Alexander Thamm's primary differentiator is: deep specialization in industrial and automotive ml use cases across the german mittelstand. Siili Solutions's primary differentiator is: publicly traded on nasdaq helsinki, offering financial transparency uncommon among privately held ml firms. They also differ in team size (201–500 vs 501–1000), minimum engagement ($30K vs $30K), and primary industries served (Manufacturing, Automotive vs Enterprise, Telecommunications).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.