STX Next vs Devox Software: full comparison for 2026
Last updated: July 2026
Quick verdict
STX Next (4.0/5) edges ahead of Devox Software (3.7/5) overall. STX Next is the better choice for python-first companies needing ML capability embedded within software products rather than standalone AI systems. Devox Software is the stronger option for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention. The right choice depends on your project size, budget, and required tech stack.
STX Next vs Devox Software: head-to-head summary
| Criterion | STX Next | Devox Software |
|---|---|---|
| Founded | 2005 | 2014 |
| HQ | Poznań, Poland | Kyiv, Ukraine / Kraków, Poland |
| Team size | 700–1,000 | 100–200 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Python-first companies needing ML capability embedded within software products rather than standalone AI systems | EU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention |
| Pricing model | Fixed project, dedicated team, T&M | Fixed project, T&M, dedicated team |
| Min. engagement | $50K | $15K |
| Primary tech stack | Python, Django, FastAPI | Python, PyTorch, TensorFlow |
| Industries served | Fintech, Healthcare, SaaS, E-commerce, Manufacturing | Fintech, Retail, E-commerce, Healthcare, Logistics |
STX Next vs Devox Software: overview
STX Next
STX Next is a software development company founded in 2005 and headquartered in Poznań, Poland, operating as Europe's largest Python software house with 700+ engineers. The firm's machine learning practice focuses on operationalising ML models within complete software products rather than delivering standalone ML components, reflecting its software engineering heritage. STX Next serves clients across fintech, SaaS, healthcare, and e-commerce with Python-native ML development, model integration, and MLOps infrastructure. The company has 20 years of software delivery history across European and US client bases.
Devox Software
Devox Software is an IT outsourcing services provider headquartered in Ukraine with offices in Poland and Romania, offering AI-driven legacy modernisation, cloud application development, and machine learning solutions. The firm employs 100+ qualified experts and reports 82% of clients working with them for over two years, with 90% of customers located in the EU, UK, or USA. Devox develops Python machine learning solutions using PyCaret, Matplotlib, TensorFlow, and PyTorch, with a primary focus on finance and retail-oriented ML applications.
Services and capabilities: STX Next vs Devox Software
| Capability | STX Next | Devox Software |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP & text analytics | ✓ | ✓ |
| MLOps & deployment | ✓ | ✗ |
| Generative AI | ✗ | ✗ |
| ML consulting & strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: STX Next vs Devox Software
| Framework / platform | STX Next | Devox Software |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| Scikit-learn | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | ✓ | N/A |
| Hugging Face | N/A | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: STX Next vs Devox Software
| Criterion | STX Next | Devox Software |
|---|---|---|
| Minimum engagement | $50K | $15K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: STX Next vs Devox Software
| Dimension | STX Next | Devox Software |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Fintech, Healthcare, SaaS | Fintech, Retail, E-commerce |
| Best use cases | Python-native ML features built into web applications for fintech and healthcare, MLOps pipeline construction for data science teams going to production | Financial risk scoring models for lenders and credit providers, Retail demand forecasting and inventory optimisation ML |
| Typical project type | Fixed project | Fixed project |
STX Next vs Devox Software: pros and cons
| STX Next | |
|---|---|
| + | Europe's largest Python engineering firm with deep Python-native ML expertise |
| + | 700+ engineers give strong staffing depth for scaling concurrent programmes |
| + | 20-year track record provides risk comfort for long-term technology partnerships |
| + | ML integrated within software products reduces prototype-to-production handoff friction |
| + | Strong European market coverage with US and UK clients also served |
| - | ML is one practice within a broader software development business rather than a primary specialisation |
| - | Less focus on standalone AI/ML systems — best where ML is embedded in Python products |
| - | $50K minimum may price out very early-stage ML exploration or PoC projects |
| Devox Software | |
|---|---|
| + | Strong 82% long-term client retention rate demonstrates delivery satisfaction |
| + | Python-native ML focus with documented framework coverage including PyCaret |
| + | $15K minimum engagement accessible for earlier-stage project initiation |
| + | Finance and retail ML specialisation with practical industry use case depth |
| + | Eastern European rates with EU/UK/US-facing delivery capability |
| - | Ukraine/Poland primary delivery requires business continuity assessment for critical programmes |
| - | Team of 100+ limits simultaneous capacity for very large multi-stream ML programmes |
| - | Less extensive public portfolio compared to larger competitors |
Who should choose STX Next?
STX Next is the right choice for python-first companies needing ML capability embedded within software products rather than standalone AI systems.
Europe's largest Python engineering firm with 700+ engineers, making ML a natural extension of existing Python product development. Minimum engagement starts at $50K. Works best with clients in Fintech, Healthcare, SaaS, E-commerce, Manufacturing.
Who should choose Devox Software?
Devox Software is the right choice for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention.
High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases. Minimum engagement starts at $15K. Works best with clients in Fintech, Retail, E-commerce, Healthcare, Logistics.
Decision matrix: STX Next vs Devox Software
| 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 | Devox Software |
| You need specialist depth in a specific vertical | STX Next |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Devox Software |
Use case fit: STX Next vs Devox Software
| Use case | STX Next fit | Devox Software fit | Winner |
|---|---|---|---|
| Python-native ML features built into web applications for fintech and healthcare | Strong | Limited | STX Next |
| MLOps pipeline construction for data science teams going to production | Strong | Limited | STX Next |
| Financial risk scoring models for lenders and credit providers | Limited | Strong | Devox Software |
| Retail demand forecasting and inventory optimisation ML | Limited | Strong | Devox Software |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: STX Next vs Devox Software
STX Next (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Europe's largest Python engineering firm with 700+ engineers, making ML a natural extension of existing Python product development. It is best for python-first companies needing ML capability embedded within software products rather than standalone AI systems.
Devox Software (3.7/5) is the better choice when eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention. If your situation matches those criteria, Devox Software is a competitive option.
Related comparisons
STX Next vs Devox Software FAQ
Is STX Next better than Devox Software?
STX Next (4.0/5) scores higher overall, but "better" depends on your use case. STX Next is better for python-first companies needing ML capability embedded within software products rather than standalone AI systems. Devox Software is better for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention.
How do STX Next and Devox Software differ in pricing?
STX Next uses fixed project, dedicated team, t&m pricing with a minimum engagement of $50K. Devox Software uses fixed project, t&m, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: STX Next or Devox Software?
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 Devox Software?
STX Next's primary differentiator is: europe's largest python engineering firm with 700+ engineers, making ml a natural extension of existing python product development. Devox Software's primary differentiator is: high client retention rate (82% long-term partnerships) with python-native ml focus for finance and retail use cases. They also differ in team size (700–1,000 vs 100–200), minimum engagement ($50K vs $15K), and primary industries served (Fintech, Healthcare vs Fintech, Retail).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.