Tensorway vs WeAreBrain: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of WeAreBrain (4.3/5) overall. Tensorway is the better choice for mid-market fintech, energy, and supply-chain companies that want a boutique team building production forecasting models without enterprise-consultancy overhead.. 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.
Tensorway vs WeAreBrain: head-to-head summary
| Criterion | Tensorway | WeAreBrain |
|---|---|---|
| Founded | 2019 | 2015 |
| HQ | Alicante, Spain (secondary office in San Mateo, California) | Netherlands (internationally distributed team) |
| Team size | 50–249 | 60+ |
| Rating | 4.6 / 5 | 4.3 / 5 |
| Best for | Mid-market fintech, energy, and supply-chain companies that want a boutique team building production forecasting models without enterprise-consultancy overhead. | 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, PyTorch, TensorFlow | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations |
| Industries served | Fintech, Energy & Utilities, Logistics, Private Equity | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce |
Tensorway vs WeAreBrain: overview
Tensorway
Tensorway is an AI development company founded in 2019 in Alicante, Spain, that emerged from Anadea's applied R&D unit as interest in AI grew inside the older software firm. It builds custom forecasting models and ML-powered products for clients in fintech, supply chain, and energy, alongside computer vision, NLP, and generative AI work. The company maintains a secondary office in San Mateo, California, giving it delivery reach into US time zones alongside its Spanish legal HQ. Notable clients include StreetEasy, Admirals, and MoneyZen (per company website).
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: Tensorway vs WeAreBrain
| Capability | Tensorway | WeAreBrain |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: Tensorway vs WeAreBrain
| Framework / platform | Tensorway | WeAreBrain |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | ✓ | N/A |
| LangChain | ✓ | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Tensorway vs WeAreBrain
| Criterion | Tensorway | 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: Tensorway vs WeAreBrain
| Dimension | Tensorway | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Energy & Utilities, Logistics | Transport & Logistics, Healthcare, EdTech |
| Best use cases | Fintech fraud detection and forecasting models, Customer segmentation for e-commerce | AI-native product MVP development, E-commerce AI personalization |
| Typical project type | Fixed project | Dedicated team |
Tensorway vs WeAreBrain: pros and cons
| Tensorway | |
|---|---|
| + | Deep specialization in forecasting and NLP rather than a broad generalist service menu |
| + | Dual Spain/California presence supports both EU and US client time zones |
| + | $10K minimum engagement keeps the door open to smaller pilot projects |
| + | Direct founder involvement in client engagements (per company website) |
| - | 50–249 employee band spans two office locations, so the ML team size for a specific project is unclear |
| - | Public case study count is modest compared to larger regional players |
| - | Precise relationship structure with parent company Anadea is not detailed beyond a shared founding team (per company website; independently unverifiable) |
| 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 Tensorway?
Tensorway is the right choice for mid-market fintech, energy, and supply-chain companies that want a boutique team building production forecasting models without enterprise-consultancy overhead..
Spun out of Anadea's applied R&D unit in 2019, giving it a mature delivery bench uncommon for a five-year-old AI boutique.. Minimum engagement starts at $10,000+. Works best with clients in Fintech, Energy & Utilities, Logistics, Private Equity.
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: 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 | Compare: Tensorway ($10,000+) vs WeAreBrain (Not published) |
| You need specialist depth in a specific vertical | Tensorway |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Tensorway |
Use case fit: Tensorway vs WeAreBrain
| Use case | Tensorway fit | WeAreBrain fit | Winner |
|---|---|---|---|
| Fintech fraud detection and forecasting models | Strong | Limited | Tensorway |
| Customer segmentation for e-commerce | Strong | Limited | Tensorway |
| AI-native product MVP development | Limited | Strong | WeAreBrain |
| E-commerce AI personalization | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs WeAreBrain
Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. Spun out of Anadea's applied R&D unit in 2019, giving it a mature delivery bench uncommon for a five-year-old AI boutique.. It is best for mid-market fintech, energy, and supply-chain companies that want a boutique team building production forecasting models without enterprise-consultancy overhead..
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
Tensorway vs WeAreBrain FAQ
Is Tensorway better than WeAreBrain?
Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway is better for mid-market fintech, energy, and supply-chain companies that want a boutique team building production forecasting models without enterprise-consultancy overhead.. 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 Tensorway and WeAreBrain differ in pricing?
Tensorway 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: Tensorway or WeAreBrain?
Tensorway 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: spun out of anadea's applied r&d unit in 2019, giving it a mature delivery bench uncommon for a five-year-old ai boutique.. 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 (Fintech, Energy & Utilities vs Transport & Logistics, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.