Alexander Thamm vs Plain Concepts: full comparison for 2026
Last updated: July 2026
Quick verdict
Alexander Thamm (4.6/5) edges ahead of Plain Concepts (3.9/5) overall. Alexander Thamm is the better choice for german and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery. Plain Concepts is the stronger option for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery. The right choice depends on your project size, budget, and required tech stack.
Alexander Thamm vs Plain Concepts: head-to-head summary
| Criterion | Alexander Thamm | Plain Concepts |
|---|---|---|
| Founded | 2012 | 2006 |
| HQ | Munich, Germany | Madrid, Spain |
| Team size | 201–500 | 201–500 |
| Rating | 4.6 / 5 | 3.9 / 5 |
| Best for | German and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery | Enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery |
| Pricing model | Retainer, fixed project, dedicated team | Dedicated team, fixed project, retainer |
| Min. engagement | $30K | $35K |
| Primary tech stack | Python, Databricks, Azure | Python, Azure ML, Azure OpenAI Service |
| Industries served | Manufacturing, Automotive, Industrial IoT, Financial Services, Retail | Enterprise, Retail, Healthcare, Financial Services |
Alexander Thamm vs Plain Concepts: 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.
Plain Concepts
Plain Concepts, founded in 2006 and headquartered in Madrid, Spain, is a 450-plus person technology consultancy with offices across the USA, UK, Spain, Germany, the Netherlands, and Romania. As a Microsoft Gold Partner, Microsoft AI Partner, and 2016 Microsoft Partner of the Year, Plain Concepts brings deep Azure-native AI and machine learning delivery experience alongside mixed reality and IoT engineering.
Services and capabilities: Alexander Thamm vs Plain Concepts
| Capability | Alexander Thamm | Plain Concepts |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Alexander Thamm vs Plain Concepts
| Framework / platform | Alexander Thamm | Plain Concepts |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | N/A |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Alexander Thamm vs Plain Concepts
| Criterion | Alexander Thamm | Plain Concepts |
|---|---|---|
| Minimum engagement | $30K | $35K |
| Engagement models | Retainer, Fixed project, Dedicated team | Dedicated team, Fixed project, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Alexander Thamm vs Plain Concepts
| Dimension | Alexander Thamm | Plain Concepts |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Automotive, Industrial IoT | Enterprise, Retail, Healthcare |
| Best use cases | Predictive maintenance for manufacturing equipment, Building an enterprise data and AI strategy roadmap | Azure-native ML model deployment for an enterprise client, Mixed reality plus AI product development |
| Typical project type | Retainer | Dedicated team |
Alexander Thamm vs Plain Concepts: 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 |
| Plain Concepts | |
|---|---|
| + | Two decades of operating history since founding in 2006, with Microsoft Gold and AI Partner status |
| + | Multi-country office footprint across Spain, the UK, Germany, the Netherlands, Romania, and the US for broad coverage |
| + | Deep Azure-native ML and AI delivery credentials, useful for Microsoft-standardized enterprises |
| + | Recognized with Microsoft Partner of the Year award in 2016 |
| - | Azure-centric specialization may be less ideal for clients standardized on AWS or GCP |
| - | Broader technology consultancy scope, including mixed reality and IoT, means ML is one of several core practices |
| - | Larger enterprise-oriented engagement sizes, less accessible for very small startup budgets |
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 Plain Concepts?
Plain Concepts is the right choice for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery.
Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise. Minimum engagement starts at $35K. Works best with clients in Enterprise, Retail, Healthcare, Financial Services.
Decision matrix: Alexander Thamm vs Plain Concepts
| 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 Plain Concepts
| Use case | Alexander Thamm fit | Plain Concepts fit | Winner |
|---|---|---|---|
| Predictive maintenance for manufacturing equipment | Strong | Strong | Both equally |
| Building an enterprise data and AI strategy roadmap | Strong | Limited | Alexander Thamm |
| Azure-native ML model deployment for an enterprise client | Limited | Strong | Plain Concepts |
| Mixed reality plus AI product development | Limited | Strong | Plain Concepts |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Alexander Thamm vs Plain Concepts
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.
Plain Concepts (3.9/5) is the better choice when enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery. If your situation matches those criteria, Plain Concepts is a competitive option.
Related comparisons
Alexander Thamm vs Plain Concepts FAQ
Is Alexander Thamm better than Plain Concepts?
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. Plain Concepts is better for enterprises standardized on Microsoft Azure wanting a certified Microsoft AI Partner for ML delivery.
How do Alexander Thamm and Plain Concepts differ in pricing?
Alexander Thamm uses retainer, fixed project, dedicated team pricing with a minimum engagement of $30K. Plain Concepts uses dedicated team, fixed project, retainer pricing with a minimum engagement of $35K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Alexander Thamm or Plain Concepts?
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 Plain Concepts?
Alexander Thamm's primary differentiator is: deep specialization in industrial and automotive ml use cases across the german mittelstand. Plain Concepts's primary differentiator is: deep azure-native ai and ml delivery credentials as a microsoft gold and ai partner, plus mixed reality expertise. They also differ in team size (201–500 vs 201–500), minimum engagement ($30K vs $35K), and primary industries served (Manufacturing, Automotive vs Enterprise, Retail).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.