Tensorway vs Oxagile: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Oxagile (3.8/5) overall. Tensorway is the better choice for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps. Oxagile is the stronger option for media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology 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 | 28+ | 250–500 |
| Rating | 4.8 / 5 | 3.8 / 5 |
| Best for | Teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps | Media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise |
| Pricing model | T&M, Fixed project, Dedicated team | Fixed project, T&M, Dedicated team |
| Min. engagement | $15K | $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 with additional offices in San Mateo, California. The company emerged from Anadea, a software firm with 25 years of delivery history, and operates as a dedicated ML practice with 28+ 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 | ✓ | ✗ |
| 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 | $15K | $25K |
| Engagement models | Fixed project, T&M, Dedicated team | 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 |
| + | Recognized independently by Clutch, GoodFirms, and TechBehemoths as a top AI company in Spain |
| + | Low minimum engagement ($15K) compared to US-equivalent boutiques with similar specialization depth |
| - | Smaller team of 28+ limits parallel capacity for very large-scale programmes requiring 50+ ML engineers simultaneously |
| - | Spain/California time zone split may require coordination effort for US East Coast clients |
| 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?
Tensorway is the right choice for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps.
ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size. Minimum engagement starts at $15K. Works best with clients in healthcare, finance, retail, manufacturing, entertainment.
Who should choose Oxagile?
Oxagile is the right choice for media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise.
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 Anadea software delivery infrastructure — unusually deep for a firm of this size. It is best for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps.
Oxagile (3.8/5) is the better choice when media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise. If your situation matches those criteria, 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 is better for teams needing a dedicated ML specialist boutique with full-stack delivery from strategy through production MLOps. Oxagile is better for media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise.
How do Tensorway and Oxagile differ in pricing?
Tensorway uses t&m, fixed project, dedicated team pricing with a minimum engagement of $15K. 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 anadea 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 (28+ vs 250–500), minimum engagement ($15K vs $25K), and primary industries served (healthcare, finance vs media, advertising).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.