STX Next vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
STX Next (4.0/5) edges ahead of ELEKS (3.6/5) overall. STX Next is the better choice for python-first companies needing ML capability embedded within software products rather than standalone AI systems. ELEKS is the stronger option for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. The right choice depends on your project size, budget, and required tech stack.
STX Next vs ELEKS: head-to-head summary
| Criterion | STX Next | ELEKS |
|---|---|---|
| Founded | 2005 | 1991 |
| HQ | Poznań, Poland | Lviv, Ukraine / Chicago, IL, USA |
| Team size | 700–1,000 | 2,000–3,000 |
| Rating | 4.0 / 5 | 3.6 / 5 |
| Best for | Python-first companies needing ML capability embedded within software products rather than standalone AI systems | Enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes |
| Pricing model | Fixed project, dedicated team, T&M | Dedicated team, T&M, fixed project |
| Min. engagement | $50K | $100K |
| Primary tech stack | Python, Django, FastAPI | Python, Scikit-learn, TensorFlow |
| Industries served | Fintech, Healthcare, SaaS, E-commerce, Manufacturing | Healthcare, Manufacturing, Fintech, Retail, Logistics |
STX Next vs ELEKS: 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.
ELEKS
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
Services and capabilities: STX Next vs ELEKS
| Capability | STX Next | ELEKS |
|---|---|---|
| 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 ELEKS
| Framework / platform | STX Next | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| Scikit-learn | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | ✓ | ✓ |
| 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 ELEKS
| Criterion | STX Next | ELEKS |
|---|---|---|
| Minimum engagement | $50K | $100K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: STX Next vs ELEKS
| Dimension | STX Next | ELEKS |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Fintech, Healthcare, SaaS | Healthcare, Manufacturing, Fintech |
| 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 | Market forecasting ML for retail sales planning and inventory optimisation, Demand prediction for manufacturing capacity planning and scheduling |
| Typical project type | Fixed project | Dedicated team |
STX Next vs ELEKS: 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 |
| ELEKS | |
|---|---|
| + | 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients |
| + | Fortune 500 client experience provides enterprise delivery maturity and governance |
| + | US Chicago office for North American enterprise client engagement and relationship management |
| + | Wide industry coverage across healthcare, retail, manufacturing, and financial services |
| + | 2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
| - | $100K minimum engagement limits access to enterprise-scale budgets only |
| - | ML is one service within a broad software engineering practice — not AI-first |
| - | Ukraine primary delivery requires business continuity assessment for regulated industries |
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 ELEKS?
ELEKS is the right choice for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. Minimum engagement starts at $100K. Works best with clients in Healthcare, Manufacturing, Fintech, Retail, Logistics.
Decision matrix: STX Next vs ELEKS
| 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 | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ELEKS |
Use case fit: STX Next vs ELEKS
| Use case | STX Next fit | ELEKS 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 |
| Market forecasting ML for retail sales planning and inventory optimisation | Limited | Strong | ELEKS |
| Demand prediction for manufacturing capacity planning and scheduling | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: STX Next vs ELEKS
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.
ELEKS (3.6/5) is the better choice when enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
STX Next vs ELEKS FAQ
Is STX Next better than ELEKS?
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. ELEKS is better for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
How do STX Next and ELEKS differ in pricing?
STX Next uses fixed project, dedicated team, t&m pricing with a minimum engagement of $50K. ELEKS uses dedicated team, t&m, fixed project pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: STX Next or ELEKS?
ELEKS 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 ELEKS?
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. ELEKS's primary differentiator is: 35-year software engineering heritage with 1,000+ delivered data-driven projects and us presence in chicago for north american enterprise clients. They also differ in team size (700–1,000 vs 2,000–3,000), minimum engagement ($50K vs $100K), and primary industries served (Fintech, Healthcare vs Healthcare, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.