STX Next vs Oxagile: full comparison for 2026
Last updated: July 2026
Quick verdict
STX Next (4.0/5) edges ahead of Oxagile (3.8/5) overall. STX Next is the better choice for python-first companies needing ML capability embedded within software products rather than standalone AI systems. Oxagile is the stronger option for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. The right choice depends on your project size, budget, and required tech stack.
STX Next vs Oxagile: head-to-head summary
| Criterion | STX Next | Oxagile |
|---|---|---|
| Founded | 2005 | 2005 |
| HQ | Poznań, Poland | New York, NY, USA / Minsk, Belarus |
| Team size | 700–1,000 | 400–600 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Best for | Python-first companies needing ML capability embedded within software products rather than standalone AI systems | Media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems |
| Pricing model | Fixed project, dedicated team, T&M | Fixed project, dedicated team, T&M |
| Min. engagement | $50K | $25K |
| Primary tech stack | Python, Django, FastAPI | Python, TensorFlow, OpenCV |
| Industries served | Fintech, Healthcare, SaaS, E-commerce, Manufacturing | E-commerce, Healthcare, Manufacturing, Logistics, SaaS |
STX Next vs Oxagile: 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.
Oxagile
Oxagile is a custom software development firm founded in 2005 with offices in New York and Minsk, Belarus, specialising in video domain AI, AdTech, business intelligence, and educational technology. The firm's machine learning practice focuses on object recognition, video analytics, and AI-powered media solutions, drawing on over 20 years of video technology delivery. Oxagile's ML engineering team works with clients in sports, media, advertising, and education to deliver production-grade AI features integrated into video platforms. The firm employs 400+ engineers.
Services and capabilities: STX Next vs Oxagile
| Capability | STX Next | Oxagile |
|---|---|---|
| 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 Oxagile
| Framework / platform | STX Next | Oxagile |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | N/A | ✓ |
| Scikit-learn | ✓ | N/A |
| 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 Oxagile
| Criterion | STX Next | Oxagile |
|---|---|---|
| Minimum engagement | $50K | $25K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Fixed project, Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: STX Next vs Oxagile
| Dimension | STX Next | Oxagile |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Fintech, Healthcare, SaaS | E-commerce, Healthcare, Manufacturing |
| 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 | Object recognition systems for sports highlight clip generation, Video analytics for media consumption behaviour and content performance |
| Typical project type | Fixed project | Fixed project |
STX Next vs Oxagile: 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 |
| Oxagile | |
|---|---|
| + | 20+ years of video technology expertise — stronger than most for video-domain ML use cases |
| + | Strong computer vision and object recognition delivery across named media and sports clients |
| + | 400+ engineers provide staffing capacity for medium-to-large concurrent projects |
| + | US-based New York presence for North American client engagement in business hours |
| + | Documented AdTech ML applications including ad relevance and fraud detection models |
| - | Primary strength is video and media ML — less suited to non-video ML use cases |
| - | Belarus-based delivery requires business continuity planning for long-term engagements |
| - | Less documented coverage of modern LLM and generative AI than newer 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 Oxagile?
Oxagile is the right choice for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients. Minimum engagement starts at $25K. Works best with clients in E-commerce, Healthcare, Manufacturing, Logistics, SaaS.
Decision matrix: STX Next vs Oxagile
| 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 | Oxagile |
| 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 | Both may offer discovery engagements |
Use case fit: STX Next vs Oxagile
| Use case | STX Next fit | Oxagile 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 |
| Object recognition systems for sports highlight clip generation | Limited | Strong | Oxagile |
| Video analytics for media consumption behaviour and content performance | Limited | Strong | Oxagile |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: STX Next vs Oxagile
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.
Oxagile (3.8/5) is the better choice when media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. If your situation matches those criteria, Oxagile is a competitive option.
Related comparisons
STX Next vs Oxagile FAQ
Is STX Next better than Oxagile?
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. Oxagile is better for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
How do STX Next and Oxagile differ in pricing?
STX Next uses fixed project, dedicated team, t&m pricing with a minimum engagement of $50K. Oxagile uses fixed project, dedicated team, t&m 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 Oxagile?
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 Oxagile?
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. Oxagile's primary differentiator is: 20-year video technology specialist with strong computer vision and video analytics ml capability for media, sports, and adtech clients. They also differ in team size (700–1,000 vs 400–600), minimum engagement ($50K vs $25K), and primary industries served (Fintech, Healthcare vs E-commerce, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.