WeAreBrain vs Nexocode: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of Nexocode (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.. Nexocode is the stronger option for startups and scale-ups wanting a small, senior AI team for a well-scoped generative AI or data engineering project rather than a large delivery organization.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Nexocode: head-to-head summary
| Criterion | WeAreBrain | Nexocode |
|---|---|---|
| Founded | 2015 | 2015 |
| HQ | Netherlands (internationally distributed team) | Kraków, Poland |
| Team size | 60+ | ~25 |
| 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. | Startups and scale-ups wanting a small, senior AI team for a well-scoped generative AI or data engineering project rather than a large delivery organization. |
| Pricing model | Dedicated team, fixed project | Fixed project, consulting |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, Generative AI/GPT tooling, Cloud platforms |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Logistics, Travel & Hospitality |
WeAreBrain vs Nexocode: 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.
Nexocode
Nexocode is a Kraków, Poland AI development company founded in 2015 (per customer testimonial evidence; some sources cite 2017), currently around 25 employees, run as a flat organization with no traditional management hierarchy. It offers an AI Design Sprint, AI consulting, generative AI development, data engineering, and cloud development, with named clients including Katana and Google Developer Relations. Its small, senior team structure suits well-scoped generative AI or data engineering projects rather than large multi-workstream programs.
Services and capabilities: WeAreBrain vs Nexocode
| Capability | WeAreBrain | Nexocode |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Nexocode
| Framework / platform | WeAreBrain | Nexocode |
|---|---|---|
| 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 Nexocode
| Criterion | WeAreBrain | Nexocode |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Fixed project, Consulting retainer |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs Nexocode
| Dimension | WeAreBrain | Nexocode |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Transport & Logistics, Healthcare, EdTech | Logistics, Travel & Hospitality |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | Generative AI product features for startups, AI Design Sprint scoping engagements |
| Typical project type | Dedicated team | Fixed project |
WeAreBrain vs Nexocode: 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 |
| Nexocode | |
|---|---|
| + | Small, senior team (~25 people) means direct access to experienced engineers rather than junior staff augmentation |
| + | AI Design Sprint offering gives clients a structured, low-risk way to scope a project before committing |
| + | Kraków HQ taps into Poland's deep software engineering talent pool |
| + | Flat structure can mean faster internal decision-making on scoped projects |
| - | ~25-person team size limits capacity for large, multi-workstream enterprise programs |
| - | Founding year has conflicting public sources (2015 vs. 2017) — 2015 is used here based on customer testimonial evidence |
| - | Named clients (Katana, Leavetown.com) are smaller-profile than several competitors' enterprise logos |
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 Nexocode?
Nexocode is the right choice for startups and scale-ups wanting a small, senior AI team for a well-scoped generative AI or data engineering project rather than a large delivery organization..
Explicitly flat organizational structure with no traditional management hierarchy — every team member is described as equally involved in growth and delivery decisions.. Minimum engagement starts at Not published. Works best with clients in Logistics, Travel & Hospitality.
Decision matrix: WeAreBrain vs Nexocode
| 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 Nexocode (Not published) |
| 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 Nexocode
| Use case | WeAreBrain fit | Nexocode fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| Generative AI product features for startups | Limited | Strong | Nexocode |
| AI Design Sprint scoping engagements | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Nexocode
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..
Nexocode (4.2/5) is the better choice when startups and scale-ups wanting a small, senior AI team for a well-scoped generative AI or data engineering project rather than a large delivery organization.. If your situation matches those criteria, Nexocode is a competitive option.
Related comparisons
WeAreBrain vs Nexocode FAQ
Is WeAreBrain better than Nexocode?
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.. Nexocode is better for startups and scale-ups wanting a small, senior AI team for a well-scoped generative AI or data engineering project rather than a large delivery organization..
How do WeAreBrain and Nexocode differ in pricing?
WeAreBrain uses dedicated team, fixed project pricing with a minimum engagement of Not published. Nexocode uses fixed project, consulting pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: WeAreBrain or Nexocode?
WeAreBrain 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 Nexocode?
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.. Nexocode's primary differentiator is: explicitly flat organizational structure with no traditional management hierarchy — every team member is described as equally involved in growth and delivery decisions.. They also differ in team size (60+ vs ~25), minimum engagement (Not published vs Not published), and primary industries served (Transport & Logistics, Healthcare vs Logistics, Travel & Hospitality).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.