STX Next vs WeAreBrain: full comparison for 2026
Last updated: July 2026
Quick verdict
STX Next (4.3/5) edges ahead of WeAreBrain (4.2/5) overall. STX Next is the better choice for companies needing ML development paired with deep, large-scale Python software engineering capacity. WeAreBrain is the stronger option for companies wanting AI and machine learning delivered as part of a broader digital product build. The right choice depends on your project size, budget, and required tech stack.
STX Next vs WeAreBrain: head-to-head summary
| Criterion | STX Next | WeAreBrain |
|---|---|---|
| Founded | 2005 | 2015 |
| HQ | Poznan, Poland | Amsterdam, Netherlands |
| Team size | 201–500 | 51–200 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best for | Companies needing ML development paired with deep, large-scale Python software engineering capacity | Companies wanting AI and machine learning delivered as part of a broader digital product build |
| Pricing model | Dedicated team, staff augmentation, fixed project | Fixed project, dedicated team |
| Min. engagement | $25K | $25K |
| Primary tech stack | Python, Django, FastAPI | Python, AWS, Azure |
| Industries served | SaaS, Fintech, Healthcare, E-commerce, Enterprise | SaaS, Fintech, Enterprise, Retail |
STX Next vs WeAreBrain: overview
STX Next
STX Next, founded in March 2005 in Poznan, Poland, grew from an 8-person startup into a nearly 500-person Python engineering firm with delivery centers across Poland and Mexico. Known primarily as one of Europe's largest dedicated Python engineering companies, STX Next has built out AI/ML and data engineering practices on top of its deep Python bench, making it a strong generalist option for ML projects that also require broader software engineering.
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: STX Next vs WeAreBrain
| Capability | STX Next | WeAreBrain |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✓ | ✗ |
Tech stack comparison: STX Next vs WeAreBrain
| Framework / platform | STX Next | WeAreBrain |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: STX Next vs WeAreBrain
| Criterion | STX Next | WeAreBrain |
|---|---|---|
| Minimum engagement | $25K | $25K |
| Engagement models | Dedicated team, Staff augmentation, Fixed project | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: STX Next vs WeAreBrain
| Dimension | STX Next | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | SaaS, Fintech, Enterprise |
| Best use cases | ML feature development inside a larger Python software platform, Scaling an engineering team with dedicated Python and ML staff | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows |
| Typical project type | Dedicated team | Fixed project |
STX Next vs WeAreBrain: pros and cons
| STX Next | |
|---|---|
| + | Two decades of operating history since founding in 2005 with proven scale of roughly 500 engineers |
| + | Deep Python engineering bench supports complex ML and software integration projects |
| + | Multiple delivery centers across Poland and Mexico for coverage flexibility |
| + | Established staff augmentation model for teams needing to scale quickly |
| - | ML and AI is one practice among several rather than the firm's sole focus |
| - | Larger organizational size may mean less founder-level attention than boutique specialists |
| - | Best fit skews toward Python-centric stacks rather than polyglot ML environments |
| 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 STX Next?
STX Next is the right choice for companies needing ML development paired with deep, large-scale Python software engineering capacity.
One of Europe's largest dedicated Python engineering companies, with ML and data practices built on that scale. Minimum engagement starts at $25K. Works best with clients in SaaS, Fintech, Healthcare, E-commerce, Enterprise.
Who should choose WeAreBrain?
WeAreBrain is the right choice for companies wanting AI and machine learning delivered as part of a broader digital product build.
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: STX Next vs WeAreBrain
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | STX Next |
| You need a large dedicated team for an ongoing programme | STX Next |
| Your budget is at the lower end | STX Next |
| You need specialist depth in a specific vertical | STX Next |
| You need staff augmentation or team extension | STX Next |
| You need consulting before committing to a build | STX Next |
Use case fit: STX Next vs WeAreBrain
| Use case | STX Next fit | WeAreBrain fit | Winner |
|---|---|---|---|
| ML feature development inside a larger Python software platform | Strong | Limited | STX Next |
| Scaling an engineering team with dedicated Python and ML staff | Strong | Limited | STX Next |
| Building an AI-powered consumer-facing digital product | Limited | Strong | WeAreBrain |
| Intelligent process automation for back-office workflows | Limited | Strong | WeAreBrain |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | STX Next |
Verdict: STX Next vs WeAreBrain
STX Next (4.3/5) is the stronger overall choice for most Machine Learning Development projects. One of Europe's largest dedicated Python engineering companies, with ML and data practices built on that scale. It is best for companies needing ML development paired with deep, large-scale Python software engineering capacity.
WeAreBrain (4.2/5) is the better choice when companies wanting AI and machine learning delivered as part of a broader digital product build. If your situation matches those criteria, WeAreBrain is a competitive option.
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STX Next vs WeAreBrain FAQ
Is STX Next better than WeAreBrain?
STX Next (4.3/5) scores higher overall, but "better" depends on your use case. STX Next is better for companies needing ML development paired with deep, large-scale Python software engineering capacity. WeAreBrain is better for companies wanting AI and machine learning delivered as part of a broader digital product build.
How do STX Next and WeAreBrain differ in pricing?
STX Next uses dedicated team, staff augmentation, fixed project pricing with a minimum engagement of $25K. 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: STX Next or WeAreBrain?
STX Next 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 STX Next and WeAreBrain?
STX Next's primary differentiator is: one of europe's largest dedicated python engineering companies, with ml and data practices built on that scale. 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 (201–500 vs 51–200), minimum engagement ($25K vs $25K), and primary industries served (SaaS, Fintech vs SaaS, Fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.