Tensorway vs Oxagile: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of Oxagile (3.8/5) 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. 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.
Tensorway vs Oxagile: head-to-head summary
| Criterion | Tensorway | Oxagile |
|---|---|---|
| Founded | 2020 | 2005 |
| HQ | Valencia, Spain | New York, NY, USA / Minsk, Belarus |
| Team size | 50–100 | 400–600 |
| Rating | 4.6 / 5 | 3.8 / 5 |
| Best for | Mid-market and enterprise clients needing production-grade computer vision or deep learning systems built by a specialist team | Media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems |
| Pricing model | Fixed project, T&M | Fixed project, dedicated team, T&M |
| Min. engagement | $30K | $25K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, OpenCV |
| Industries served | Fintech, Healthcare, Retail, Edtech, E-commerce | E-commerce, Healthcare, Manufacturing, Logistics, SaaS |
Tensorway vs Oxagile: 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.
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: Tensorway vs Oxagile
| Capability | Tensorway | Oxagile |
|---|---|---|
| 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 Oxagile
| Framework / platform | Tensorway | Oxagile |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | 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 Oxagile
| Criterion | Tensorway | Oxagile |
|---|---|---|
| Minimum engagement | $30K | $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: Tensorway vs Oxagile
| Dimension | Tensorway | Oxagile |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | E-commerce, Healthcare, Manufacturing |
| Best use cases | Computer vision systems for quality inspection in manufacturing lines, Real-time video analytics for retail foot traffic and shelf monitoring | Object recognition systems for sports highlight clip generation, Video analytics for media consumption behaviour and content performance |
| Typical project type | Fixed project | Fixed project |
Tensorway vs Oxagile: 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) |
| 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 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 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: Tensorway vs Oxagile
| 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 | Oxagile |
| 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 Oxagile
| Use case | Tensorway fit | Oxagile fit | Winner |
|---|---|---|---|
| Computer vision systems for quality inspection in manufacturing lines | Strong | Strong | Both equally |
| Real-time video analytics for retail foot traffic and shelf monitoring | Strong | Limited | Tensorway |
| Object recognition systems for sports highlight clip generation | Limited | Strong | Oxagile |
| Video analytics for media consumption behaviour and content performance | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs Oxagile
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.
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
Tensorway vs Oxagile FAQ
Is Tensorway better than Oxagile?
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. Oxagile is better for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
How do Tensorway and Oxagile differ in pricing?
Tensorway uses fixed project, t&m pricing with a minimum engagement of $30K. 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: Tensorway or Oxagile?
Oxagile 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 Oxagile?
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. 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 (50–100 vs 400–600), minimum engagement ($30K 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.