WeAreBrain vs Alexander Thamm: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of Alexander Thamm (4.2/5) overall. WeAreBrain is the better choice for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. Alexander Thamm is the stronger option for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Alexander Thamm: head-to-head summary
| Criterion | WeAreBrain | Alexander Thamm |
|---|---|---|
| Founded | 2015 | 2012 |
| HQ | Netherlands (internationally distributed team) | Munich, Germany |
| Team size | 60+ | ~500 (across 10 locations) |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best for | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. | Large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale. |
| Pricing model | Dedicated team, fixed project | Consulting retainer, enterprise engagement |
| Min. engagement | Not published | Not published (enterprise-scale engagements) |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, Data engineering pipelines, Agentic AI frameworks |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Automotive & Manufacturing, Financial Services, Transport & Logistics, Public Sector |
WeAreBrain vs Alexander Thamm: overview
WeAreBrain
WeAreBrain is a Netherlands-headquartered AI-native product studio founded in 2015, combining AI product development with software modernization, e-commerce integrations, and automation services. It describes itself as 'a winning team, not an agency,' with a 60+ person, 13-nationality team and an average client tenure of 3.8 years, alongside an NPS score above 80 (per company website). Named clients include SidelineSwap and clevergig, which was acquired by Visma.
Alexander Thamm
Alexander Thamm is a Munich, Germany data and AI consultancy founded in 2012, with roughly 500 employees across 10 locations and 3,500+ completed projects for clients including BVG, Deutsche Bahn, Porsche, Volkswagen, MTU Aero Engines, and Škoda. It positions its 'whitebox solutions' around transparency and manufacturer-independence, avoiding lock-in to a single cloud vendor's ML stack, and runs an in-house Data Academy for client training and knowledge transfer.
Services and capabilities: WeAreBrain vs Alexander Thamm
| Capability | WeAreBrain | Alexander Thamm |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Alexander Thamm
| Framework / platform | WeAreBrain | Alexander Thamm |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: WeAreBrain vs Alexander Thamm
| Criterion | WeAreBrain | Alexander Thamm |
|---|---|---|
| Minimum engagement | Not published | Not published (enterprise-scale engagements) |
| Engagement models | Dedicated team, Fixed project | Consulting retainer, Dedicated team, Enterprise program |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs Alexander Thamm
| Dimension | WeAreBrain | Alexander Thamm |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Transport & Logistics, Healthcare, EdTech | Automotive & Manufacturing, Financial Services, Transport & Logistics |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | Enterprise data and AI strategy for automotive OEMs, Manufacturing process optimization with ML |
| Typical project type | Dedicated team | Consulting retainer |
WeAreBrain vs Alexander Thamm: pros and cons
| WeAreBrain | |
|---|---|
| + | 80+ NPS and 3.8-year average client tenure signal strong retention (per company website) |
| + | 13-nationality team supports multilingual, multi-market European delivery |
| + | Combines AI-native product development with broader software modernization services |
| + | Founded 2015 with a decade of continuous operation |
| - | Broader software, e-commerce, and automation service lines mean ML is one of several offerings, not the sole focus |
| - | 60+ team size is modest relative to enterprise-scale competitors on this list |
| - | Notable named clients (SidelineSwap, clevergig) are smaller-profile than some competitors' enterprise logos |
| Alexander Thamm | |
|---|---|
| + | 3,500+ completed projects and blue-chip clients (BVG, Deutsche Bahn, Porsche, Volkswagen, Škoda) demonstrate enterprise-scale delivery |
| + | In-house Data Academy provides client training and knowledge transfer alongside delivery |
| + | Manufacturer-independent positioning avoids lock-in to a single cloud vendor's ML stack |
| + | 10 office locations give strong DACH-region coverage |
| - | Enterprise-scale engagement model and pricing are not accessible for smaller buyers |
| - | 500-person scale trades boutique specialization depth for breadth across many industries |
| - | Heavier automotive and manufacturing concentration may be less relevant for buyers outside those sectors |
Who should choose WeAreBrain?
WeAreBrain is the right choice for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
Frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. Minimum engagement starts at Not published. Works best with clients in Transport & Logistics, Healthcare, EdTech, Retail/E-commerce.
Who should choose Alexander Thamm?
Alexander Thamm is the right choice for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale..
'Whitebox solutions' positioning emphasizes transparency and manufacturer independence, backed by 3,500+ completed projects and blue-chip automotive clients.. Minimum engagement starts at Not published (enterprise-scale engagements). Works best with clients in Automotive & Manufacturing, Financial Services, Transport & Logistics, Public Sector.
Decision matrix: WeAreBrain vs Alexander Thamm
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | WeAreBrain |
| You need a large dedicated team for an ongoing programme | WeAreBrain |
| Your budget is at the lower end | Compare: WeAreBrain (Not published) vs Alexander Thamm (Not published (enterprise-scale engagements)) |
| You need specialist depth in a specific vertical | WeAreBrain |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | WeAreBrain |
Use case fit: WeAreBrain vs Alexander Thamm
| Use case | WeAreBrain fit | Alexander Thamm fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| Enterprise data and AI strategy for automotive OEMs | Limited | Strong | Alexander Thamm |
| Manufacturing process optimization with ML | Limited | Strong | Alexander Thamm |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Alexander Thamm
WeAreBrain (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. It is best for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
Alexander Thamm (4.2/5) is the better choice when large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale.. If your situation matches those criteria, Alexander Thamm is a competitive option.
Related comparisons
WeAreBrain vs Alexander Thamm FAQ
Is WeAreBrain better than Alexander Thamm?
WeAreBrain (4.3/5) scores higher overall, but "better" depends on your use case. WeAreBrain is better for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. Alexander Thamm is better for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale..
How do WeAreBrain and Alexander Thamm differ in pricing?
WeAreBrain uses dedicated team, fixed project pricing with a minimum engagement of Not published. Alexander Thamm uses consulting retainer, enterprise engagement pricing with a minimum engagement of Not published (enterprise-scale engagements). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: WeAreBrain or Alexander Thamm?
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 WeAreBrain and Alexander Thamm?
WeAreBrain's primary differentiator is: frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. Alexander Thamm's primary differentiator is: 'whitebox solutions' positioning emphasizes transparency and manufacturer independence, backed by 3,500+ completed projects and blue-chip automotive clients.. They also differ in team size (60+ vs ~500 (across 10 locations)), minimum engagement (Not published vs Not published (enterprise-scale engagements)), and primary industries served (Transport & Logistics, Healthcare vs Automotive & Manufacturing, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.