Tensorway vs Oxagile: full comparison for 2026
Quick verdict
Tensorway (4.5/5) edges ahead of Oxagile (4.0/5) overall. Tensorway is the better choice for mid-market teams, senior deep-learning expertise, direct access. Oxagile is the stronger option for Media, healthcare, manufacturing — production computer vision. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Oxagile: head-to-head summary
| Criterion | Tensorway | Oxagile |
|---|---|---|
| Founded | 2019 | 2005 |
| HQ | Alicante, Spain | Minsk, Belarus / Warsaw, Poland |
| Team size | 50–100 | 400+ |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | Boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company | 20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms |
| Pricing model | Dedicated team, fixed project, retainer, T&M | Fixed project, T&M, Dedicated team |
| Min. engagement | $10K | $25K |
| Primary tech stack | TensorFlow, PyTorch, LangChain | Python, TensorFlow, PyTorch |
| Industries served | Healthcare, Hospitality, Financial Services, Edtech, Technology / SaaS, Fintech, E-commerce, Logistics | Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics |
Tensorway vs Oxagile: overview
Tensorway
Tensorway is a machine learning development company headquartered in Alicante, Spain, built on the software delivery infrastructure of its parent company, Anadea. The firm employs 50+ data scientists and ML engineers focused exclusively on deep learning, NLP, computer vision, and agentic AI, with over 15 completed ML projects across healthcare, hospitality, financial services, edtech, and technology/SaaS. Its differentiation lies in boutique team access — clients work directly with senior deep learning engineers rather than through the account-management layers typical of larger firms, with hands-on production ML delivery on AWS. Minimum project size starts at $10K.
Oxagile
Oxagile was founded in 2005 and operates with primary delivery centres in Minsk, Belarus, and Warsaw, Poland, employing 400+ professionals. The company's AI practice centres on computer vision, LLM integration, ML-supported content analysis, and video processing — capabilities that stem from its long heritage in media technology and video infrastructure for broadcasters and OTT platforms. Oxagile's computer vision work spans automated content moderation for media companies, visual quality inspection for manufacturing, and AI-assisted diagnostics for healthcare, making it one of the more vertically diverse computer vision specialists in this review.
Services and capabilities: Tensorway vs Oxagile
| Capability | Tensorway | Oxagile |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✓ | ✗ |
| NLP / Text analytics | ✓ | ✓ |
| Computer vision | ✓ | ✓ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| AI strategy | ✓ | ✗ |
| Staff augmentation | ✓ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Tensorway vs Oxagile
| Framework / platform | Tensorway | Oxagile |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
Pricing comparison: Tensorway vs Oxagile
| Criterion | Tensorway | Oxagile |
|---|---|---|
| Minimum engagement | $10K | $25K |
| Engagement models | Dedicated team, Fixed project, Retainer, Time & materials | Fixed project, Time & materials, Dedicated team |
| 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 | Healthcare, Hospitality, Financial Services | Media / Entertainment, Healthcare, Manufacturing |
| Best use cases | Custom computer vision systems for automated quality inspection or medical imaging analysis, LLM and agentic AI integration for enterprise workflow automation | Automated video content moderation and compliance tagging for OTT and broadcast platforms, Computer vision quality inspection systems for manufacturing production lines |
| Typical project type | Dedicated team | Fixed project |
Tensorway vs Oxagile: pros and cons
| Tensorway | |
|---|---|
| + | Strong delivery track record in deep learning and NLP, with client references available under NDA |
| + | Hands-on production ML delivery on AWS across computer vision and NLP workloads |
| + | Direct access to senior ML engineers — no account management layers between client and delivery team |
| + | Established project-management and QA processes for predictable, well-documented delivery |
| + | Specialisation in agentic AI and LLM integration is ahead of most generalist competitors at this team size |
| + | Cost-effective relative to US-based boutiques while delivering Western European quality standards |
| - | Team of 50+ limits concurrent large-scale engagements to two or three active projects |
| - | Less established brand recognition than larger named competitors despite strong delivery record |
| - | Vertical depth is strongest in healthcare and hospitality; niche verticals may require additional onboarding time |
| Oxagile | |
|---|---|
| + | 20-year computer vision heritage provides production-grade depth in a capability most generalists offer only superficially |
| + | Video AI and content analysis capability is particularly strong — directly transferable to media and broadcast clients |
| + | Dual delivery centre model (Minsk + Warsaw) provides redundancy and EU data processing alignment via Warsaw |
| + | Full project lifecycle from CV prototype through production deployment and monitoring |
| + | Competitive rates relative to Western European firms of equivalent computer vision depth |
| - | Minsk-based delivery introduces political and banking risk for some Western European and North American clients |
| - | Core strength is computer vision and media AI; pure NLP or tabular ML projects may receive less specialised teams |
| - | Less established for cloud-native MLOps and generative AI relative to newer AI-native firms |
Who should choose Tensorway?
A typical fit: custom computer vision systems for automated quality inspection or medical imaging analysis.
Boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company. Minimum engagement starts at $10K. Works best with clients in Healthcare, Hospitality, Financial Services, Edtech, Technology / SaaS, Fintech, E-commerce, Logistics.
Who should choose Oxagile?
A typical fit: automated video content moderation and compliance tagging for OTT and broadcast platforms.
20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. Minimum engagement starts at $25K. Works best with clients in Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics.
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 | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| You need staff augmentation or team extension | Tensorway |
| 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 |
|---|---|---|---|
| Custom computer vision systems for automated quality inspection or medical imaging analysis | Strong | Limited | Tensorway |
| LLM and agentic AI integration for enterprise workflow automation | Strong | Strong | Both equally |
| Automated video content moderation and compliance tagging for OTT and broadcast platforms | Strong | Strong | Both equally |
| Computer vision quality inspection systems for manufacturing production lines | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs Oxagile
Tensorway (4.5/5) is the stronger overall choice for most Machine Learning projects. Boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company.
Oxagile (4.0/5) is worth a look if you need computer vision quality inspection systems for manufacturing production lines. If your situation matches that, Oxagile is a competitive option.
Related comparisons
Tensorway vs Oxagile FAQ
Is Tensorway better than Oxagile?
Tensorway (4.5/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: strong delivery track record in deep learning and NLP, with client references available under NDA. Oxagile's strongest advantage: 20-year computer vision heritage provides production-grade depth in a capability most generalists offer only superficially.
How do Tensorway and Oxagile differ in pricing?
Tensorway uses dedicated team, fixed project, retainer, t&m pricing with a minimum engagement of $10K. Oxagile uses fixed project, t&m, dedicated team 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?
Tensorway is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Tensorway and Oxagile?
Tensorway's primary differentiator is: boutique deep-learning specialist offering direct access to senior engineers, drawing on the 25-year delivery experience of its parent company. Oxagile's primary differentiator is: 20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. They also differ in team size (50–100 vs 400+), minimum engagement ($10K vs $25K), and primary industries served (Healthcare, Hospitality vs Media / Entertainment, Healthcare).