WeAreBrain vs Zühlke: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of Zühlke (3.9/5) 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.. Zühlke is the stronger option for large regulated enterprises — medtech, finance, industrial — wanting AI/ML delivered within a broader product-innovation and engineering consultancy with a 55+ year track record.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Zühlke: head-to-head summary
| Criterion | WeAreBrain | Zühlke |
|---|---|---|
| Founded | 2015 | 1968 |
| HQ | Netherlands (internationally distributed team) | Schlieren (Zurich), Switzerland |
| Team size | 60+ | 1,900+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Best for | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. | Large regulated enterprises — medtech, finance, industrial — wanting AI/ML delivered within a broader product-innovation and engineering consultancy with a 55+ year track record. |
| Pricing model | Dedicated team, fixed project | Enterprise consulting engagement |
| Min. engagement | Not published | Not published (enterprise-scale) |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, Cloud data platforms, Cybersecurity tooling |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Healthcare, Financial Services, Manufacturing |
WeAreBrain vs Zühlke: 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.
Zühlke
Zühlke is a Swiss product-innovation engineering group founded in 1968 in Schlieren (near Zurich), Switzerland, with 1,900+ employees across 17 locations in Europe and Asia. Partner-owned rather than private-equity or public-market backed, it applies machine learning within a broader practice spanning cloud, data platforms, and cybersecurity, serving medtech, financial services, and industrial clients across its multi-decade history.
Services and capabilities: WeAreBrain vs Zühlke
| Capability | WeAreBrain | Zühlke |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| MLOps | ✗ | ✓ |
| Data Engineering | ✗ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Zühlke
| Framework / platform | WeAreBrain | Zühlke |
|---|---|---|
| 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 Zühlke
| Criterion | WeAreBrain | Zühlke |
|---|---|---|
| Minimum engagement | Not published | Not published (enterprise-scale) |
| Engagement models | Dedicated team, Fixed project | Enterprise consulting engagement, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs Zühlke
| Dimension | WeAreBrain | Zühlke |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Transport & Logistics, Healthcare, EdTech | Healthcare, Financial Services, Manufacturing |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | Enterprise AI strategy within broader innovation programs, Medtech product development with embedded ML |
| Typical project type | Dedicated team | Enterprise consulting engagement |
WeAreBrain vs Zühlke: 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 |
| Zühlke | |
|---|---|
| + | 56 years of continuous operation (founded 1968) — by far the longest-established firm in this list |
| + | 1,900+ employees across 17 locations in Europe and Asia give exceptional delivery scale and geographic reach |
| + | Partner-owned structure, not private-equity or public-market owned, supports long-term client relationships |
| + | Broad practice spanning AI, cloud, data platforms, and cybersecurity suits complex, multi-discipline enterprise programs |
| - | AI/ML is a relatively small specialization within a much larger, more general engineering-innovation practice |
| - | Enterprise-consulting scale and pricing make it a poor fit for smaller pilot-stage buyers |
| - | Being one of the largest, most established firms on this list means less boutique-style founder-level AI focus |
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 Zühlke?
Zühlke is the right choice for large regulated enterprises — medtech, finance, industrial — wanting AI/ML delivered within a broader product-innovation and engineering consultancy with a 55+ year track record..
Founded in 1968 as a product-innovation engineering firm, giving it a far longer institutional track record than any other company on this list — AI/ML is one current-generation capability within a much broader innovation-consulting practice.. Minimum engagement starts at Not published (enterprise-scale). Works best with clients in Healthcare, Financial Services, Manufacturing.
Decision matrix: WeAreBrain vs Zühlke
| 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 Zühlke (Not published (enterprise-scale)) |
| 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 Zühlke
| Use case | WeAreBrain fit | Zühlke fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| Enterprise AI strategy within broader innovation programs | Limited | Strong | Zühlke |
| Medtech product development with embedded ML | Limited | Strong | Zühlke |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Zühlke
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..
Zühlke (3.9/5) is the better choice when large regulated enterprises — medtech, finance, industrial — wanting AI/ML delivered within a broader product-innovation and engineering consultancy with a 55+ year track record.. If your situation matches those criteria, Zühlke is a competitive option.
Related comparisons
WeAreBrain vs Zühlke FAQ
Is WeAreBrain better than Zühlke?
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.. Zühlke is better for large regulated enterprises — medtech, finance, industrial — wanting AI/ML delivered within a broader product-innovation and engineering consultancy with a 55+ year track record..
How do WeAreBrain and Zühlke differ in pricing?
WeAreBrain uses dedicated team, fixed project pricing with a minimum engagement of Not published. Zühlke uses enterprise consulting engagement pricing with a minimum engagement of Not published (enterprise-scale). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: WeAreBrain or Zühlke?
Zühlke 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 Zühlke?
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.. Zühlke's primary differentiator is: founded in 1968 as a product-innovation engineering firm, giving it a far longer institutional track record than any other company on this list — ai/ml is one current-generation capability within a much broader innovation-consulting practice.. They also differ in team size (60+ vs 1,900+), minimum engagement (Not published vs Not published (enterprise-scale)), and primary industries served (Transport & Logistics, Healthcare vs Healthcare, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.