Tensorway vs Oxagile: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Oxagile (3.8/5) overall. Tensorway is the better choice for dedicated ML boutique, strategy through production MLOps. Oxagile is the stronger option for Media, AdTech, sports — video ML, 20+ years video expertise. 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 | New York, NY, USA |
| Team size | 50+ | 250–500 |
| Rating | 4.8 / 5 | 3.8 / 5 |
| Primary differentiator | ML-only focus with a dedicated specialist team backed by 25 years of the parent company software delivery infrastructure — unusually deep for a firm of this size | 20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics |
| Pricing model | Fixed project, T&M, Dedicated team, Retainer | Fixed project, T&M, Dedicated team |
| Min. engagement | $10K | $25K |
| Primary tech stack | TensorFlow, PyTorch, Keras | TensorFlow, PyTorch, OpenCV |
| Industries served | healthcare, finance, retail, manufacturing, entertainment | media, advertising, retail, sports, healthcare |
Tensorway vs Oxagile: overview
Tensorway
Tensorway is a machine learning development company founded in 2019 and headquartered in Alicante, Spain. The company operates as a dedicated ML practice with 50+ specialists spanning data science, ML engineering, MLOps, and QA. Tensorway delivers custom ML solutions across predictive analytics, NLP, computer vision, and LLM integration for clients in healthcare, finance, retail, and manufacturing. Listed among top AI companies in Spain by Clutch, The Manifest, GoodFirms, and TechBehemoths.
Oxagile
Oxagile is a custom software development vendor founded in 2005 and headquartered in New York, with delivery centers in Eastern Europe. The company has 20+ years of video domain expertise and has applied machine learning to video understanding, visual search, and real-time video analytics for clients in media, advertising, sports, and retail. Oxagile's ML practice is particularly strong in use cases where video processing is the core data source.
Services and capabilities: Tensorway vs Oxagile
| Capability | Tensorway | Oxagile |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Deep learning | ✓ | ✓ |
| NLP | ✓ | ✗ |
| Computer vision | ✓ | ✓ |
| MLOps | ✓ | ✗ |
| Predictive analytics | ✓ | ✗ |
| Generative AI | ✓ | ✗ |
| Agentic AI | ✓ | ✗ |
| Data engineering | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Tensorway vs Oxagile
| Framework / platform | Tensorway | Oxagile |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| Scikit-Learn | ✓ | N/A |
| LangChain | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| GCP Vertex AI | N/A | N/A |
| Kubernetes | N/A | ✓ |
| Apache Spark | N/A | N/A |
| MLflow | N/A | N/A |
Pricing comparison: Tensorway vs Oxagile
| Criterion | Tensorway | Oxagile |
|---|---|---|
| Minimum engagement | $10K | $25K |
| Engagement models | Fixed project, T&M, Dedicated team, Retainer | Fixed project, T&M, 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, finance, retail | media, advertising, retail |
| Best use cases | Custom predictive analytics model development and deployment to production, LLM integration and RAG pipeline development using LangChain or LlamaIndex | Video content analysis ML for content moderation, tagging, or recommendation, Computer vision model development for sports performance analysis |
| Typical project type | Fixed project | Fixed project |
Tensorway vs Oxagile: pros and cons
| Tensorway | |
|---|---|
| + | Entire team is dedicated to ML — no generalist staff repurposed from other practices |
| + | Covers the full ML lifecycle: strategy, data engineering, model development, deployment, and MLOps support |
| + | Strong LLM and generative AI capability with LangChain, LangGraph, and LlamaIndex in production |
| + | Multiple pricing models including fixed-price PoC development, making it accessible for early validation |
| + | Strong delivery track record in deep learning and NLP, with client references available under NDA |
| + | Low minimum engagement ($10K) compared to US-equivalent boutiques with similar specialization depth |
| Oxagile | |
|---|---|
| + | 20+ years of video technology expertise is a genuinely rare differentiator in the ML market |
| + | NVIDIA CUDA expertise for GPU-accelerated video ML inference at production scale |
| + | AdTech ML specialization for audience targeting and real-time bidding optimization models |
| + | WebRTC and live video stream processing capability alongside batch video analysis |
| + | Eastern European delivery with New York client-facing presence |
| - | Video-first specialization means less breadth for non-video ML use cases |
| - | Less generative AI LLM tooling depth compared to AI-first firms |
| - | Limited public case studies outside media, AdTech, and sports verticals |
Who should choose Tensorway?
A typical fit: custom predictive analytics model development and deployment to production.
ML-only focus with a dedicated specialist team backed by 25 years of the parent company software delivery infrastructure — unusually deep for a firm of this size. Minimum engagement starts at $10K. Works best with clients in healthcare, finance, retail, manufacturing, entertainment.
Who should choose Oxagile?
A typical fit: video content analysis ML for content moderation, tagging, or recommendation.
20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics. Minimum engagement starts at $25K. Works best with clients in media, advertising, retail, sports, healthcare.
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 | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Tensorway |
Use case fit: Tensorway vs Oxagile
| Use case | Tensorway fit | Oxagile fit | Winner |
|---|---|---|---|
| Custom predictive analytics model development and deployment to production | Strong | Limited | Tensorway |
| LLM integration and RAG pipeline development using LangChain or LlamaIndex | Strong | Limited | Tensorway |
| Video content analysis ML for content moderation, tagging, or recommendation | Limited | Strong | Oxagile |
| Computer vision model development for sports performance analysis | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs Oxagile
Tensorway (4.8/5) is the stronger overall choice for most Machine Learning Development projects. ML-only focus with a dedicated specialist team backed by 25 years of the parent company software delivery infrastructure — unusually deep for a firm of this size.
Oxagile (3.8/5) is worth a look if you need computer vision model development for sports performance analysis. If your situation matches that, Oxagile is a competitive option.
Related comparisons
Tensorway vs Oxagile FAQ
Is Tensorway better than Oxagile?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: entire team is dedicated to ML — no generalist staff repurposed from other practices. Oxagile's strongest advantage: 20+ years of video technology expertise is a genuinely rare differentiator in the ML market.
How do Tensorway and Oxagile differ in pricing?
Tensorway uses fixed project, t&m, dedicated team, retainer 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?
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: ML-only focus with a dedicated specialist team backed by 25 years of the parent company software delivery infrastructure — unusually deep for a firm of this size. Oxagile's primary differentiator is: 20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics. They also differ in team size (50+ vs 250–500), minimum engagement ($10K vs $25K), and primary industries served (healthcare, finance vs media, advertising).