WeAreBrain vs Miquido: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of Miquido (4.1/5) 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.. Miquido is the stronger option for companies wanting AI and ML features — RAG, computer vision, on-device AI — integrated into a broader mobile or web product build.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Miquido: head-to-head summary
| Criterion | WeAreBrain | Miquido |
|---|---|---|
| Founded | 2015 | 2011 |
| HQ | Netherlands (internationally distributed team) | Kraków, Poland |
| Team size | 60+ | Not disclosed |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Best for | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. | Companies wanting AI and ML features — RAG, computer vision, on-device AI — integrated into a broader mobile or web product build. |
| Pricing model | Dedicated team, fixed project | Fixed project, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, On-device AI frameworks, Computer vision libraries |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Fintech, Healthcare, Retail/E-commerce, Energy & Utilities |
WeAreBrain vs Miquido: 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.
Miquido
Miquido is a Kraków, Poland product-development company founded in 2011, offering on-device AI development, AI integration, computer vision, NLP, RAG development, and AI guardrails alongside its core mobile and web engineering practice. Notable clients include Warner Music, Universal, and Abbey Road Studios (per company website), and the company reports 90% of projects sourced from client referrals. Team size is not publicly disclosed.
Services and capabilities: WeAreBrain vs Miquido
| Capability | WeAreBrain | Miquido |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
| Computer Vision | ✗ | ✓ |
| NLP | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Miquido
| Framework / platform | WeAreBrain | Miquido |
|---|---|---|
| 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 Miquido
| Criterion | WeAreBrain | Miquido |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs Miquido
| Dimension | WeAreBrain | Miquido |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Transport & Logistics, Healthcare, EdTech | Fintech, Healthcare, Retail/E-commerce |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | On-device AI features for mobile apps, RAG-based AI product development |
| Typical project type | Dedicated team | Fixed project |
WeAreBrain vs Miquido: 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 |
| Miquido | |
|---|---|
| + | Notable enterprise and media clients including Warner Music, Universal, and Abbey Road Studios (per company website) |
| + | On-device AI and AI guardrails are a more specialized offering than most generalist dev shops provide |
| + | 90% of projects reportedly sourced from client referrals, suggesting strong repeat business (per company website) |
| + | Founded 2011 — over a decade of Kraków-based product engineering experience |
| - | Team size is not publicly disclosed |
| - | AI/ML is an extension of a broader mobile and web product engineering practice rather than the company's original core focus |
| - | Entertainment and music-industry client concentration may not translate to buyers in other regulated industries |
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 Miquido?
Miquido is the right choice for companies wanting AI and ML features — RAG, computer vision, on-device AI — integrated into a broader mobile or web product build..
Offers on-device AI development and AI guardrails alongside core ML, computer vision, and NLP work — a more product-engineering-centric AI offering than pure consulting-first competitors.. Minimum engagement starts at Not published. Works best with clients in Fintech, Healthcare, Retail/E-commerce, Energy & Utilities.
Decision matrix: WeAreBrain vs Miquido
| 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 Miquido (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 Miquido
| Use case | WeAreBrain fit | Miquido fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| On-device AI features for mobile apps | Limited | Strong | Miquido |
| RAG-based AI product development | Limited | Strong | Miquido |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Miquido
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..
Miquido (4.1/5) is the better choice when companies wanting AI and ML features — RAG, computer vision, on-device AI — integrated into a broader mobile or web product build.. If your situation matches those criteria, Miquido is a competitive option.
Related comparisons
WeAreBrain vs Miquido FAQ
Is WeAreBrain better than Miquido?
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.. Miquido is better for companies wanting AI and ML features — RAG, computer vision, on-device AI — integrated into a broader mobile or web product build..
How do WeAreBrain and Miquido differ in pricing?
WeAreBrain uses dedicated team, fixed project pricing with a minimum engagement of Not published. Miquido uses fixed project, dedicated team 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 Miquido?
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 Miquido?
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.. Miquido's primary differentiator is: offers on-device ai development and ai guardrails alongside core ml, computer vision, and nlp work — a more product-engineering-centric ai offering than pure consulting-first competitors.. They also differ in team size (60+ vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Transport & Logistics, Healthcare vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.