Tensorway vs WeAreBrain: full comparison for 2026
Quick verdict
Tensorway (4.9/5) edges ahead of WeAreBrain (4.2/5) overall. Tensorway is the better choice for startups and mid-market, senior dedicated ML team. WeAreBrain is the stronger option for companies wanting AI within digital product builds. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs WeAreBrain: head-to-head summary
| Criterion | Tensorway | WeAreBrain |
|---|---|---|
| Founded | 2019 | 2015 |
| HQ | Alicante, Spain | Amsterdam, Netherlands |
| Team size | 50+ | 51–200 |
| Rating | 4.9 / 5 | 4.2 / 5 |
| Primary differentiator | a full-stack ML delivery team (data science, MLOps, QA) inherited from an established parent software company, at boutique-agency pricing | Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice |
| Pricing model | Dedicated team, fixed project, retainer, time and materials | Fixed project, dedicated team |
| Min. engagement | $10K | $25K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, AWS, Azure |
| Industries served | SaaS, Legal Tech, E-commerce, Healthcare, Financial Services | SaaS, Fintech, Enterprise, Retail |
Tensorway vs WeAreBrain: overview
Tensorway
Tensorway is a Spain-headquartered machine learning and AI development company spun out of its parent software engineering firm. The team of roughly 50 dedicated data scientists, AI engineers, and MLOps specialists delivers custom ML models, computer vision, NLP, and generative AI systems for clients across Europe and the US. Tensorway inherits its parent's delivery infrastructure and hiring pipeline, giving it more engineering depth than most boutiques its size (15+ delivered ML projects per company website; independently unverifiable). As a relatively young standalone brand founded in 2019, its own market track record is shorter than its parent company's.
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: Tensorway vs WeAreBrain
| Capability | Tensorway | WeAreBrain |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| Generative AI / LLM integration | ✓ | ✗ |
| MLOps | ✓ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✓ | ✗ |
Tech stack comparison: Tensorway vs WeAreBrain
| Framework / platform | Tensorway | WeAreBrain |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs WeAreBrain
| Criterion | Tensorway | WeAreBrain |
|---|---|---|
| Minimum engagement | $10K | $25K |
| Engagement models | Dedicated team, Fixed project, Retainer, Time and materials, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Tensorway vs WeAreBrain
| Dimension | Tensorway | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Legal Tech, E-commerce | SaaS, Fintech, Enterprise |
| Best use cases | Building a production computer vision pipeline for document processing, Deploying a customer-facing AI chatbot or LLM-integrated agent | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows |
| Typical project type | Dedicated team | Fixed project |
Tensorway vs WeAreBrain: pros and cons
| Tensorway | |
|---|---|
| + | Full ML delivery stack in-house: data science, MLOps/DevSecOps, and QA under one roof |
| + | Backed by parent company's 25-year engineering track record and hiring pipeline |
| + | Established project-management and QA processes for predictable, well-documented delivery |
| + | Broad service range from LLM integration to computer vision to predictive analytics |
| + | Flexible engagement models including fixed-price PoC for budget-constrained startups |
| + | Based in the EU (Spain), simplifying GDPR-compliant data handling for European clients |
| - | Young standalone brand (founded 2019) with a shorter independent track record than its 25-year-old parent company |
| - | Public case studies are limited in number relative to larger regional players |
| - | Smaller team size (around 50) means less capacity for very large enterprise programmes |
| 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 Tensorway?
A typical fit: building a production computer vision pipeline for document processing.
a full-stack ML delivery team (data science, MLOps, QA) inherited from an established parent software company, at boutique-agency pricing. Minimum engagement starts at $10K. Works best with clients in SaaS, Legal Tech, E-commerce, Healthcare, Financial Services.
Who should choose WeAreBrain?
A typical fit: building an AI-powered consumer-facing digital product.
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: Tensorway vs WeAreBrain
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| You need a large dedicated team for an ongoing programme | Tensorway |
| Your budget is at the lower end | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| You need staff augmentation or team extension | Tensorway |
| You need consulting before committing to a build | Tensorway |
Use case fit: Tensorway vs WeAreBrain
| Use case | Tensorway fit | WeAreBrain fit | Winner |
|---|---|---|---|
| Building a production computer vision pipeline for document processing | Strong | Strong | Both equally |
| Deploying a customer-facing AI chatbot or LLM-integrated agent | Strong | Limited | Tensorway |
| 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: Tensorway vs WeAreBrain
Tensorway (4.9/5) is the stronger overall choice for most Machine Learning Development projects. a full-stack ML delivery team (data science, MLOps, QA) inherited from an established parent software company, at boutique-agency pricing.
WeAreBrain (4.2/5) is worth a look if you need intelligent process automation for back-office workflows. If your situation matches that, WeAreBrain is a competitive option.
Related comparisons
Tensorway vs WeAreBrain FAQ
Is Tensorway better than WeAreBrain?
Tensorway (4.9/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: full ML delivery stack in-house: data science, MLOps/DevSecOps, and QA under one roof. WeAreBrain's strongest advantage: a decade of operating history since founding in 2015 as an Amsterdam-based digital product agency.
How do Tensorway and WeAreBrain differ in pricing?
Tensorway uses dedicated team, fixed project, retainer, time and materials pricing with a minimum engagement of $10K. 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: Tensorway or WeAreBrain?
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 Tensorway and WeAreBrain?
Tensorway's primary differentiator is: a full-stack ML delivery team (data science, MLOps, QA) inherited from an established parent software company, at boutique-agency pricing. 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 (50+ vs 51–200), minimum engagement ($10K vs $25K), and primary industries served (SaaS, Legal Tech vs SaaS, Fintech).