Oxagile vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Oxagile (3.8/5) edges ahead of EPAM Systems (3.5/5) 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. EPAM Systems is the stronger option for large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform. The right choice depends on your project size, budget, and required tech stack.
Oxagile vs EPAM Systems: head-to-head summary
| Criterion | Oxagile | EPAM Systems |
|---|---|---|
| Founded | 2005 | 1993 |
| HQ | New York, NY, USA / Minsk, Belarus | Newtown, PA, USA |
| Team size | 400–600 | 60,000+ |
| Rating | 3.8 / 5 | 3.5 / 5 |
| Best for | Media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems | Large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform |
| Pricing model | Fixed project, dedicated team, T&M | Dedicated team, T&M |
| Min. engagement | $25K | $200K+ |
| Primary tech stack | Python, TensorFlow, OpenCV | Python, EPAM DIAL, AWS |
| Industries served | E-commerce, Healthcare, Manufacturing, Logistics, SaaS | Fintech, Healthcare, Manufacturing, SaaS, Logistics |
Oxagile vs EPAM Systems: 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.
EPAM Systems
EPAM Systems is a global software engineering and digital services company founded in 1993 and headquartered in Newtown, Pennsylvania, publicly listed on the NYSE with 62,000+ professionals across 55+ countries. The company's AI and ML services encompass data engineering, platform modernisation, advanced analytics, and AI/ML model development, alongside its proprietary EPAM DIAL enterprise AI orchestration platform. EPAM has positioned itself as a leader in AI transformation engineering, integrating ML capability within large digital product and platform engineering programmes.
Services and capabilities: Oxagile vs EPAM Systems
| Capability | Oxagile | EPAM Systems |
|---|---|---|
| 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 EPAM Systems
| Framework / platform | Oxagile | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | N/A | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | ✓ |
Pricing comparison: Oxagile vs EPAM Systems
| Criterion | Oxagile | EPAM Systems |
|---|---|---|
| Minimum engagement | $25K | $200K+ |
| Engagement models | Fixed project, Dedicated team, Time & materials | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Oxagile vs EPAM Systems
| Dimension | Oxagile | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | E-commerce, Healthcare, Manufacturing | Fintech, Healthcare, Manufacturing |
| Best use cases | Object recognition systems for sports highlight clip generation, Video analytics for media consumption behaviour and content performance | Enterprise AI transformation programmes for Fortune 500 organisations, EPAM DIAL deployment for enterprise LLM governance and AI orchestration |
| Typical project type | Fixed project | Dedicated team |
Oxagile vs EPAM Systems: 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 |
| EPAM Systems | |
|---|---|
| + | Publicly listed company provides financial transparency and governance confidence |
| + | 62,000+ engineers deliver at a scale few ML development competitors can match |
| + | Proprietary EPAM DIAL AI orchestration platform for enterprise LLM management |
| + | AI transformation engineering positioning beyond standard ML delivery |
| + | 55+ country footprint supports global enterprise programme delivery and compliance |
| - | Very high minimum engagement ($200K+) limits access to large enterprise budgets |
| - | ML is one capability within a massive engineering conglomerate — specialist depth varies by practice and team |
| - | Eastern European primary delivery requires business continuity planning for regulated clients |
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 EPAM Systems?
EPAM Systems is the right choice for large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform.
Publicly traded 62,000-person firm with proprietary EPAM DIAL AI orchestration platform and AI transformation engineering positioning for global enterprises. Minimum engagement starts at $200K+. Works best with clients in Fintech, Healthcare, Manufacturing, SaaS, Logistics.
Decision matrix: Oxagile vs EPAM Systems
| 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 | Oxagile |
| 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 | EPAM Systems |
Use case fit: Oxagile vs EPAM Systems
| Use case | Oxagile fit | EPAM Systems 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 |
| Enterprise AI transformation programmes for Fortune 500 organisations | Limited | Strong | EPAM Systems |
| EPAM DIAL deployment for enterprise LLM governance and AI orchestration | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Oxagile vs EPAM Systems
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.
EPAM Systems (3.5/5) is the better choice when large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
Oxagile vs EPAM Systems FAQ
Is Oxagile better than EPAM Systems?
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. EPAM Systems is better for large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform.
How do Oxagile and EPAM Systems differ in pricing?
Oxagile uses fixed project, dedicated team, t&m pricing with a minimum engagement of $25K. EPAM Systems uses dedicated team, t&m pricing with a minimum engagement of $200K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Oxagile or EPAM Systems?
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 EPAM Systems?
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. EPAM Systems's primary differentiator is: publicly traded 62,000-person firm with proprietary epam dial ai orchestration platform and ai transformation engineering positioning for global enterprises. They also differ in team size (400–600 vs 60,000+), minimum engagement ($25K vs $200K+), and primary industries served (E-commerce, Healthcare vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.