Addepto vs WeAreBrain: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of WeAreBrain (4.3/5) overall. Addepto is the better choice for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline.. WeAreBrain is the stronger option for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs WeAreBrain: head-to-head summary
| Criterion | Addepto | WeAreBrain |
|---|---|---|
| Founded | 2017 | 2015 |
| HQ | Warsaw, Poland | Netherlands (internationally distributed team) |
| Team size | 50–249 | 60+ |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best for | Mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline. | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. |
| Pricing model | Fixed project, Time & Materials | Dedicated team, fixed project |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | Python, MLOps pipelines, AWS | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations |
| Industries served | Aviation, Manufacturing, Automotive, Financial Services, Retail/E-commerce, Logistics | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce |
Addepto vs WeAreBrain: overview
Addepto
Addepto is a Warsaw, Poland AI consultancy founded in 2017 that explicitly positions its value around production-grade delivery — moving clients from proof-of-concept to production — rather than research exploration. It covers AI consulting, generative AI development, data engineering, MLOps, document processing, and computer vision, serving aviation, manufacturing, automotive, finance, retail, healthcare, and logistics clients. Addepto is a GoodFirms top-rated firm for Big Data and Business Intelligence services, with a 50–249 employee band per Clutch.
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.
Services and capabilities: Addepto vs WeAreBrain
| Capability | Addepto | WeAreBrain |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✓ |
| MLOps | ✓ | ✗ |
| Data Engineering | ✓ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: Addepto vs WeAreBrain
| Framework / platform | Addepto | WeAreBrain |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | ✓ | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Addepto vs WeAreBrain
| Criterion | Addepto | WeAreBrain |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Fixed project, Time & Materials, Dedicated team | Dedicated team, Fixed project |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / mid-market |
Target audience comparison: Addepto vs WeAreBrain
| Dimension | Addepto | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Aviation, Manufacturing, Automotive | Transport & Logistics, Healthcare, EdTech |
| Best use cases | Computer vision for document processing, MLOps pipeline hardening for existing proof-of-concepts | AI-native product MVP development, E-commerce AI personalization |
| Typical project type | Fixed project | Dedicated team |
Addepto vs WeAreBrain: pros and cons
| Addepto | |
|---|---|
| + | Broad industry coverage from aviation to legal shows delivery flexibility beyond a single vertical |
| + | Explicit MLOps and production focus addresses the common 'stuck in proof-of-concept' failure mode |
| + | $10K entry point is accessible for a mid-market pilot engagement |
| + | GoodFirms top-rated recognition for Big Data and Business Intelligence services |
| - | Broad industry spread can mean less depth in any single regulated vertical than a specialist boutique |
| - | Exact team size within the 50–249 Clutch band is not broken out by function |
| - | Public case studies are largely testimonial-based rather than published with hard metrics |
| 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 |
Who should choose Addepto?
Addepto is the right choice for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline..
Explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment.. Minimum engagement starts at $10,000+. Works best with clients in Aviation, Manufacturing, Automotive, Financial Services, Retail/E-commerce, Logistics.
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.
Decision matrix: Addepto vs WeAreBrain
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Addepto |
| You need a large dedicated team for an ongoing programme | Addepto |
| Your budget is at the lower end | Compare: Addepto ($10,000+) vs WeAreBrain (Not published) |
| You need specialist depth in a specific vertical | Addepto |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs WeAreBrain
| Use case | Addepto fit | WeAreBrain fit | Winner |
|---|---|---|---|
| Computer vision for document processing | Strong | Limited | Addepto |
| MLOps pipeline hardening for existing proof-of-concepts | Strong | Limited | Addepto |
| AI-native product MVP development | Limited | Strong | WeAreBrain |
| E-commerce AI personalization | Limited | Strong | WeAreBrain |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Addepto vs WeAreBrain
Addepto (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment.. It is best for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline..
WeAreBrain (4.3/5) is the better choice when startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. If your situation matches those criteria, WeAreBrain is a competitive option.
Related comparisons
Addepto vs WeAreBrain FAQ
Is Addepto better than WeAreBrain?
Addepto (4.4/5) scores higher overall, but "better" depends on your use case. Addepto is better for mid-market to enterprise buyers in aviation, logistics, or finance that already have a proof-of-concept and need it hardened into a production MLOps pipeline.. WeAreBrain is better for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
How do Addepto and WeAreBrain differ in pricing?
Addepto uses fixed project, time & materials pricing with a minimum engagement of $10,000+. WeAreBrain uses dedicated team, fixed project 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: Addepto or WeAreBrain?
Addepto 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 Addepto and WeAreBrain?
Addepto's primary differentiator is: explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ml pilots never reach deployment.. 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.. They also differ in team size (50–249 vs 60+), minimum engagement ($10,000+ vs Not published), and primary industries served (Aviation, Manufacturing vs Transport & Logistics, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.