WeAreBrain vs STX Next: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of STX Next (4.0/5) 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.. STX Next is the stronger option for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs STX Next: head-to-head summary
| Criterion | WeAreBrain | STX Next |
|---|---|---|
| Founded | 2015 | 2005 |
| HQ | Netherlands (internationally distributed team) | Poznań, Poland |
| Team size | 60+ | 330 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. | Enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds. |
| Pricing model | Dedicated team, fixed project | Fixed project, dedicated team, staff augmentation |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, AWS, Snowflake |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Financial Services, Manufacturing, Energy & Utilities, Healthcare, Retail/E-commerce |
WeAreBrain vs STX Next: 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.
STX Next
STX Next is a Poznań, Poland software company founded in 2005, describing itself as the largest Python-focused software development company in Europe with 330 employees operating a fully remote model across the US, UK, DACH region, and Poland. It holds simultaneous AWS Advanced Tier, Snowflake, Databricks, Microsoft Azure, and Amazon Bedrock partnerships, and built and open-sourced DeepNext, an autonomous AI developer agent, serving financial services, private equity, manufacturing, oil & gas, and healthcare clients.
Services and capabilities: WeAreBrain vs STX Next
| Capability | WeAreBrain | STX Next |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✗ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✓ |
| Staff Augmentation | ✗ | ✓ |
Tech stack comparison: WeAreBrain vs STX Next
| Framework / platform | WeAreBrain | STX Next |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | ✓ |
| Microsoft Azure | 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 | ✓ |
Pricing comparison: WeAreBrain vs STX Next
| Criterion | WeAreBrain | STX Next |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs STX Next
| Dimension | WeAreBrain | STX Next |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Transport & Logistics, Healthcare, EdTech | Financial Services, Manufacturing, Energy & Utilities |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | Python-native ML pipeline development, Multi-cloud MLOps using Databricks, Snowflake, and Bedrock |
| Typical project type | Dedicated team | Fixed project |
WeAreBrain vs STX Next: 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 |
| STX Next | |
|---|---|
| + | Largest Python-focused software company in Europe (per company website), giving deep bench strength for Python-native ML engineering |
| + | Certified across AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock simultaneously — an unusually broad multi-cloud partner portfolio |
| + | Open-sourced its own autonomous AI dev agent (DeepNext), demonstrating in-house AI R&D beyond client work |
| + | 330 employees and a fully remote model across the US, UK, DACH, and Poland gives wide delivery flexibility |
| - | AI and ML is one part of a much broader Python software-development practice, not the company's sole specialization |
| - | 330-person scale means less boutique-style founder involvement than smaller specialists on this list |
| - | Broad industry spread from banking to oil & gas trades vertical depth for breadth |
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 STX Next?
STX Next is the right choice for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds..
Built and open-sourced DeepNext, an autonomous AI developer agent, and holds AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock partnerships simultaneously.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Manufacturing, Energy & Utilities, Healthcare, Retail/E-commerce.
Decision matrix: WeAreBrain vs STX Next
| 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 STX Next (Not published) |
| 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 | WeAreBrain |
Use case fit: WeAreBrain vs STX Next
| Use case | WeAreBrain fit | STX Next fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| Python-native ML pipeline development | Limited | Strong | STX Next |
| Multi-cloud MLOps using Databricks, Snowflake, and Bedrock | Limited | Strong | STX Next |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs STX Next
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..
STX Next (4.0/5) is the better choice when enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds.. If your situation matches those criteria, STX Next is a competitive option.
Related comparisons
WeAreBrain vs STX Next FAQ
Is WeAreBrain better than STX Next?
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.. STX Next is better for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds..
How do WeAreBrain and STX Next differ in pricing?
WeAreBrain uses dedicated team, fixed project pricing with a minimum engagement of Not published. STX Next uses fixed project, dedicated team, staff augmentation 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 STX Next?
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 WeAreBrain and STX Next?
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.. STX Next's primary differentiator is: built and open-sourced deepnext, an autonomous ai developer agent, and holds aws advanced tier, snowflake, databricks, azure, and amazon bedrock partnerships simultaneously.. They also differ in team size (60+ vs 330), minimum engagement (Not published vs Not published), and primary industries served (Transport & Logistics, Healthcare vs Financial Services, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.