FELD M vs WeAreBrain: full comparison for 2026
Last updated: July 2026
Quick verdict
FELD M (4.2/5) edges ahead of WeAreBrain (4.2/5) overall. FELD M is the better choice for european enterprises wanting a long-established, multi-country data and AI consulting partner. 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.
FELD M vs WeAreBrain: head-to-head summary
| Criterion | FELD M | WeAreBrain |
|---|---|---|
| Founded | 2002 | 2015 |
| HQ | Munich, Germany | Amsterdam, Netherlands |
| Team size | 51–200 | 51–200 |
| Rating | 4.2 / 5 | 4.2 / 5 |
| Best for | European enterprises wanting a long-established, multi-country data and AI consulting partner | Companies wanting AI and machine learning delivered as part of a broader digital product build |
| Pricing model | Retainer, fixed project | Fixed project, dedicated team |
| Min. engagement | $25K | $25K |
| Primary tech stack | Python, Google Cloud, Azure | Python, AWS, Azure |
| Industries served | Retail, Media, Automotive, Financial Services | SaaS, Fintech, Enterprise, Retail |
FELD M vs WeAreBrain: overview
FELD M
FELD M was founded in 2002 in Munich as a one-person web analytics consultancy and has grown into a team of around 60 employees, with offices in Munich, Berlin, Hamburg, Warsaw (FELD M Poland), and Basel (FELD M Switzerland). The firm offers AI, data science, and machine learning product consulting for enterprise clients.
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: FELD M vs WeAreBrain
| Capability | FELD M | WeAreBrain |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: FELD M vs WeAreBrain
| Framework / platform | FELD M | WeAreBrain |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: FELD M vs WeAreBrain
| Criterion | FELD M | WeAreBrain |
|---|---|---|
| Minimum engagement | $25K | $25K |
| Engagement models | Retainer, Fixed project | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: FELD M vs WeAreBrain
| Dimension | FELD M | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Media, Automotive | SaaS, Fintech, Enterprise |
| Best use cases | Data and AI strategy consulting for an enterprise client, Predictive analytics for retail or media audience data | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows |
| Typical project type | Retainer | Fixed project |
FELD M vs WeAreBrain: pros and cons
| FELD M | |
|---|---|
| + | Over two decades of operating history since founding in 2002, among the longest-running firms on this list |
| + | Multi-country footprint across Germany, Poland, and Switzerland supports pan-European delivery |
| + | Grew organically from a single-client analytics practice into a full AI and data consultancy |
| + | Deep experience translating business analytics needs into ML and data science products |
| - | Roots in web analytics consulting mean ML engineering depth is narrower than pure-play ML specialists |
| - | Mid-size team of around 60 spread across five offices, which may limit concentration on any single project |
| 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 FELD M?
FELD M is the right choice for european enterprises wanting a long-established, multi-country data and AI consulting partner.
Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice. Minimum engagement starts at $25K. Works best with clients in Retail, Media, Automotive, Financial Services.
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: FELD M vs WeAreBrain
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | FELD M |
| You need a large dedicated team for an ongoing programme | WeAreBrain |
| Your budget is at the lower end | FELD M |
| You need specialist depth in a specific vertical | FELD M |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | FELD M |
Use case fit: FELD M vs WeAreBrain
| Use case | FELD M fit | WeAreBrain fit | Winner |
|---|---|---|---|
| Data and AI strategy consulting for an enterprise client | Strong | Limited | FELD M |
| Predictive analytics for retail or media audience data | Strong | Limited | FELD M |
| 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: FELD M vs WeAreBrain
FELD M (4.2/5) is the stronger overall choice for most Machine Learning Development projects. Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice. It is best for european enterprises wanting a long-established, multi-country data and AI consulting partner.
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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FELD M vs WeAreBrain FAQ
Is FELD M better than WeAreBrain?
FELD M (4.2/5) scores higher overall, but "better" depends on your use case. FELD M is better for european enterprises wanting a long-established, multi-country data and AI consulting partner. WeAreBrain is better for companies wanting AI and machine learning delivered as part of a broader digital product build.
How do FELD M and WeAreBrain differ in pricing?
FELD M uses retainer, fixed project pricing with a minimum engagement of $25K. 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: FELD M or WeAreBrain?
FELD M 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 FELD M and WeAreBrain?
FELD M's primary differentiator is: over two decades of operating history since founding in 2002, with organic growth into a five-office pan-european practice. 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 (51–200 vs 51–200), minimum engagement ($25K vs $25K), and primary industries served (Retail, Media vs SaaS, Fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.