Oxagile vs Codiant: full comparison for 2026
Last updated: July 2026
Quick verdict
Oxagile (3.8/5) edges ahead of Codiant (3.6/5) overall. Oxagile is the better choice for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. Codiant is the stronger option for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost. The right choice depends on your project size, budget, and required tech stack.
Oxagile vs Codiant: head-to-head summary
| Criterion | Oxagile | Codiant |
|---|---|---|
| Founded | 2005 | 2011 |
| HQ | New York, NY, USA / Minsk, Belarus | Illinois, USA / India |
| Team size | 400–600 | 200–300 |
| Rating | 3.8 / 5 | 3.6 / 5 |
| Best for | Media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems | Startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost |
| Pricing model | Fixed project, dedicated team, T&M | Fixed project, dedicated team, T&M |
| Min. engagement | $25K | $15K |
| Primary tech stack | Python, TensorFlow, OpenCV | Python, TensorFlow, PyTorch |
| Industries served | E-commerce, Healthcare, Manufacturing, Logistics, SaaS | Healthcare, Fintech, E-commerce, SaaS, Logistics |
Oxagile vs Codiant: overview
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.
Codiant
Codiant is a software development company headquartered in Illinois, USA with a development centre in India and offices in the UK, Australia, and UAE, employing 240+ full-time professionals. The company is a subsidiary of Yash Technologies and delivers custom AI and ML solutions alongside web and mobile development for startups and enterprises across five continents. Codiant holds ISO 9001 and ISO/IEC 27001:2013 certifications and has completed 700+ projects for 200+ active clients. The ML practice covers data engineering, model development, and integration into web and mobile platforms.
Services and capabilities: Oxagile vs Codiant
| Capability | Oxagile | Codiant |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Generative AI | ✗ | ✓ |
| ML consulting & strategy | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Oxagile vs Codiant
| Framework / platform | Oxagile | Codiant |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | N/A |
| Hugging Face | N/A | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Oxagile vs Codiant
| Criterion | Oxagile | Codiant |
|---|---|---|
| Minimum engagement | $25K | $15K |
| 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: Oxagile vs Codiant
| Dimension | Oxagile | Codiant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | E-commerce, Healthcare, Manufacturing | Healthcare, Fintech, E-commerce |
| Best use cases | Object recognition systems for sports highlight clip generation, Video analytics for media consumption behaviour and content performance | ML features integrated into mobile and web application product builds, Predictive analytics for e-commerce product recommendation and personalisation |
| Typical project type | Fixed project | Fixed project |
Oxagile vs Codiant: pros and cons
| 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 |
| Codiant | |
|---|---|
| + | ISO 9001 and 27001 certifications for quality and security process assurance |
| + | Yash Technologies parent provides financial stability and enterprise credibility |
| + | 240+ professionals with multi-continent delivery capability across 5 geographies |
| + | $15K minimum engagement is accessible for startup and small company budgets |
| + | 700+ completed projects provides delivery track record across multiple industries |
| - | AI/ML is one of multiple service lines at a broadly-positioned development company |
| - | Yash Technologies acquisition means company culture may differ from independent AI-first firms |
| - | Smaller team limits capacity for very large or complex enterprise ML programmes |
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.
Who should choose Codiant?
Codiant is the right choice for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost.
Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients. Minimum engagement starts at $15K. Works best with clients in Healthcare, Fintech, E-commerce, SaaS, Logistics.
Decision matrix: Oxagile vs Codiant
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Oxagile |
| You need a large dedicated team for an ongoing programme | Oxagile |
| Your budget is at the lower end | Codiant |
| You need specialist depth in a specific vertical | Oxagile |
| 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: Oxagile vs Codiant
| Use case | Oxagile fit | Codiant fit | Winner |
|---|---|---|---|
| Object recognition systems for sports highlight clip generation | Strong | Limited | Oxagile |
| Video analytics for media consumption behaviour and content performance | Strong | Limited | Oxagile |
| ML features integrated into mobile and web application product builds | Strong | Strong | Both equally |
| Predictive analytics for e-commerce product recommendation and personalisation | Limited | Strong | Codiant |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Oxagile vs Codiant
Oxagile (3.8/5) is the stronger overall choice for most Machine Learning Development projects. 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients. It is best for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
Codiant (3.6/5) is the better choice when startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost. If your situation matches those criteria, Codiant is a competitive option.
Related comparisons
Oxagile vs Codiant FAQ
Is Oxagile better than Codiant?
Oxagile (3.8/5) scores higher overall, but "better" depends on your use case. Oxagile is better for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. Codiant is better for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost.
How do Oxagile and Codiant differ in pricing?
Oxagile uses fixed project, dedicated team, t&m pricing with a minimum engagement of $25K. Codiant uses fixed project, dedicated team, t&m pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Oxagile or Codiant?
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 Oxagile and Codiant?
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. Codiant's primary differentiator is: yash technologies subsidiary with iso 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients. They also differ in team size (400–600 vs 200–300), minimum engagement ($25K vs $15K), and primary industries served (E-commerce, Healthcare vs Healthcare, Fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.