Alexander Thamm vs WeAreBrain: full comparison for 2026
Last updated: July 2026
Quick verdict
Alexander Thamm (4.6/5) edges ahead of WeAreBrain (4.2/5) overall. Alexander Thamm is the better choice for german and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery. WeAreBrain is the stronger option for companies wanting AI and machine learning delivered as part of a broader digital product build. The right choice depends on your project size, budget, and required tech stack.
Alexander Thamm vs WeAreBrain: head-to-head summary
| Criterion | Alexander Thamm | WeAreBrain |
|---|---|---|
| Founded | 2012 | 2015 |
| HQ | Munich, Germany | Amsterdam, Netherlands |
| Team size | 201–500 | 51–200 |
| Rating | 4.6 / 5 | 4.2 / 5 |
| Best for | German and DACH-region manufacturers and industrial firms needing AI strategy plus hands-on ML delivery | Companies wanting AI and machine learning delivered as part of a broader digital product build |
| Pricing model | Retainer, fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $30K | $25K |
| Primary tech stack | Python, Databricks, Azure | Python, AWS, Azure |
| Industries served | Manufacturing, Automotive, Industrial IoT, Financial Services, Retail | SaaS, Fintech, Enterprise, Retail |
Alexander Thamm vs WeAreBrain: 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.
WeAreBrain
WeAreBrain is an Amsterdam, Netherlands-headquartered digital product and AI agency founded in 2015 by Mario Grunitz, Elvire Jaspers, and Ievgen Miasushkin. The roughly 60 to 70 person team specializes in digital transformation, AI and machine learning applications, and intelligent process automation. In 2017, WeAreBrain co-founded Tur.ai, an AI and hyperautomation platform with joint Amsterdam and Kyiv operations, reflecting the founders' Ukrainian engineering ties.
Services and capabilities: Alexander Thamm vs WeAreBrain
| Capability | Alexander Thamm | WeAreBrain |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Alexander Thamm vs WeAreBrain
| Framework / platform | Alexander Thamm | WeAreBrain |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Alexander Thamm vs WeAreBrain
| Criterion | Alexander Thamm | WeAreBrain |
|---|---|---|
| Minimum engagement | $30K | $25K |
| Engagement models | Retainer, Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Alexander Thamm vs WeAreBrain
| Dimension | Alexander Thamm | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Automotive, Industrial IoT | SaaS, Fintech, Enterprise |
| Best use cases | Predictive maintenance for manufacturing equipment, Building an enterprise data and AI strategy roadmap | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows |
| Typical project type | Retainer | Fixed project |
Alexander Thamm vs WeAreBrain: 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 |
| WeAreBrain | |
|---|---|
| + | A decade of operating history since founding in 2015 as an Amsterdam-based digital product agency |
| + | Co-founded a dedicated AI and hyperautomation platform, Tur.ai, showing deeper AI investment beyond client services |
| + | Combines product design with ML and AI engineering, useful for consumer-facing AI products |
| + | EU-headquartered in the Netherlands, simplifying GDPR compliance for European clients |
| - | AI and ML is one of several practice areas alongside broader digital product work |
| - | Some delivery ties to Kyiv, Ukraine via the Tur.ai venture carry the same continuity considerations as other Ukraine-linked firms |
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 WeAreBrain?
WeAreBrain is the right choice for companies wanting AI and machine learning delivered as part of a broader digital product build.
Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice. Minimum engagement starts at $25K. Works best with clients in SaaS, Fintech, Enterprise, Retail.
Decision matrix: Alexander Thamm vs WeAreBrain
| 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 | WeAreBrain |
| 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 WeAreBrain
| Use case | Alexander Thamm fit | WeAreBrain fit | Winner |
|---|---|---|---|
| Predictive maintenance for manufacturing equipment | Strong | Limited | Alexander Thamm |
| Building an enterprise data and AI strategy roadmap | Strong | Strong | Both equally |
| Building an AI-powered consumer-facing digital product | Strong | Strong | Both equally |
| Intelligent process automation for back-office workflows | Limited | Strong | WeAreBrain |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Alexander Thamm vs WeAreBrain
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.
WeAreBrain (4.2/5) is the better choice when companies wanting AI and machine learning delivered as part of a broader digital product build. If your situation matches those criteria, WeAreBrain is a competitive option.
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Alexander Thamm vs WeAreBrain FAQ
Is Alexander Thamm better than WeAreBrain?
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. WeAreBrain is better for companies wanting AI and machine learning delivered as part of a broader digital product build.
How do Alexander Thamm and WeAreBrain differ in pricing?
Alexander Thamm uses retainer, fixed project, dedicated team pricing with a minimum engagement of $30K. WeAreBrain uses fixed project, dedicated team 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 WeAreBrain?
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 WeAreBrain?
Alexander Thamm's primary differentiator is: deep specialization in industrial and automotive ml use cases across the german mittelstand. WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. They also differ in team size (201–500 vs 51–200), minimum engagement ($30K vs $25K), and primary industries served (Manufacturing, Automotive vs SaaS, Fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.