Tensorway vs STX Next: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of STX Next (4.0/5) overall. Tensorway is the better choice for mid-market and enterprise clients needing production-grade computer vision or deep learning systems built by a specialist team. STX Next is the stronger option for python-first companies needing ML capability embedded within software products rather than standalone AI systems. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs STX Next: head-to-head summary
| Criterion | Tensorway | STX Next |
|---|---|---|
| Founded | 2020 | 2005 |
| HQ | Valencia, Spain | Poznań, Poland |
| Team size | 50–100 | 700–1,000 |
| Rating | 4.6 / 5 | 4.0 / 5 |
| Best for | Mid-market and enterprise clients needing production-grade computer vision or deep learning systems built by a specialist team | Python-first companies needing ML capability embedded within software products rather than standalone AI systems |
| Pricing model | Fixed project, T&M | Fixed project, dedicated team, T&M |
| Min. engagement | $30K | $50K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Django, FastAPI |
| Industries served | Fintech, Healthcare, Retail, Edtech, E-commerce | Fintech, Healthcare, SaaS, E-commerce, Manufacturing |
Tensorway vs STX Next: overview
Tensorway
Tensorway is a machine learning development company founded in 2020 and headquartered in Valencia, Spain, operating as an AI-focused entity within the Anadea group of companies. The firm focuses on deep learning, computer vision, and NLP systems for mid-market and enterprise clients in fintech, healthcare, retail, and edtech. Tensorway's engineering practice covers object detection, image segmentation, real-time video analytics, and large-scale NLP pipelines, with delivery backed by Anadea's 25-year software engineering track record. The team of 50+ ML engineers operates remotely across Europe and Latin America.
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.
Services and capabilities: Tensorway vs STX Next
| Capability | Tensorway | STX Next |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✓ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| ML consulting & strategy | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Tensorway vs STX Next
| Framework / platform | Tensorway | STX Next |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| Scikit-learn | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | ✓ | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Tensorway vs STX Next
| Criterion | Tensorway | STX Next |
|---|---|---|
| Minimum engagement | $30K | $50K |
| 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: Tensorway vs STX Next
| Dimension | Tensorway | STX Next |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Fintech, Healthcare, Retail | Fintech, Healthcare, SaaS |
| Best use cases | Computer vision systems for quality inspection in manufacturing lines, Real-time video analytics for retail foot traffic and shelf monitoring | Python-native ML features built into web applications for fintech and healthcare, MLOps pipeline construction for data science teams going to production |
| Typical project type | Fixed project | Fixed project |
Tensorway vs STX Next: pros and cons
| Tensorway | |
|---|---|
| + | Deep ML/DL specialisation with a dedicated computer vision practice |
| + | Backed by Anadea's 25-year software delivery heritage for project governance and accountability |
| + | Strong computer vision coverage including object detection, segmentation, and real-time video analytics |
| + | Remote-first team with European and LATAM coverage for flexible timezone delivery |
| + | Clear specialisation in production systems, not just prototype or PoC delivery |
| - | Founded in 2020 — shorter standalone company history than established competitors |
| - | Team of 50+ limits simultaneous capacity for very large multi-workstream programmes |
| - | No published case studies with named financial metrics (per company website; independently unverifiable) |
| 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 |
Who should choose Tensorway?
Tensorway is the right choice for mid-market and enterprise clients needing production-grade computer vision or deep learning systems built by a specialist team.
Deep learning specialist backed by Anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics. Minimum engagement starts at $30K. Works best with clients in Fintech, Healthcare, Retail, Edtech, E-commerce.
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.
Decision matrix: Tensorway vs STX Next
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| You need a large dedicated team for an ongoing programme | Tensorway |
| Your budget is at the lower end | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| 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: Tensorway vs STX Next
| Use case | Tensorway fit | STX Next fit | Winner |
|---|---|---|---|
| Computer vision systems for quality inspection in manufacturing lines | Strong | Limited | Tensorway |
| Real-time video analytics for retail foot traffic and shelf monitoring | Strong | Limited | Tensorway |
| Python-native ML features built into web applications for fintech and healthcare | Limited | Strong | STX Next |
| MLOps pipeline construction for data science teams going to production | Limited | Strong | STX Next |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs STX Next
Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. Deep learning specialist backed by Anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics. It is best for mid-market and enterprise clients needing production-grade computer vision or deep learning systems built by a specialist team.
STX Next (4.0/5) is the better choice when python-first companies needing ML capability embedded within software products rather than standalone AI systems. If your situation matches those criteria, STX Next is a competitive option.
Related comparisons
Tensorway vs STX Next FAQ
Is Tensorway better than STX Next?
Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway is better for mid-market and enterprise clients needing production-grade computer vision or deep learning systems built by a specialist team. STX Next is better for python-first companies needing ML capability embedded within software products rather than standalone AI systems.
How do Tensorway and STX Next differ in pricing?
Tensorway uses fixed project, t&m pricing with a minimum engagement of $30K. STX Next uses fixed project, dedicated team, t&m pricing with a minimum engagement of $50K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway 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 Tensorway and STX Next?
Tensorway's primary differentiator is: deep learning specialist backed by anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics. 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. They also differ in team size (50–100 vs 700–1,000), minimum engagement ($30K vs $50K), and primary industries served (Fintech, Healthcare vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.