Oxagile vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Oxagile (4.0/5) edges ahead of EPAM Systems (3.9/5) overall. Oxagile is the better choice for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. EPAM Systems is the stronger option for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering. 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 | Minsk, Belarus / Warsaw, Poland | Newtown, PA, USA |
| Team size | 400+ | 58,000+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems | Large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering |
| Pricing model | Fixed project, T&M, Dedicated team | T&M, Dedicated team |
| Min. engagement | $25K | $100K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics | Financial Services, Healthcare, Technology / SaaS, Media / Entertainment, Logistics, Retail / E-commerce |
Oxagile vs EPAM Systems: overview
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.
EPAM Systems
EPAM Systems is a global digital transformation services company founded in 1993 and headquartered in Newtown, Pennsylvania, with over 58,000 professionals worldwide. It was ranked among the top three tech and AI companies on Glassdoor's Best Places to Work 2026. EPAM's AI and ML practice covers custom ML development, data engineering, generative AI, MLOps, and staff augmentation, delivered across financial services, healthcare, media, SaaS, and logistics. EPAM is best suited to enterprises needing a large-scale delivery partner with the governance, compliance, and programme management infrastructure of a major consultancy at software engineering rates.
Services and capabilities: Oxagile vs EPAM Systems
| Capability | Oxagile | EPAM Systems |
|---|---|---|
| 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: Oxagile vs EPAM Systems
| Framework / platform | Oxagile | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Oxagile vs EPAM Systems
| Criterion | Oxagile | EPAM Systems |
|---|---|---|
| Minimum engagement | $25K | $100K |
| Engagement models | Fixed project, Time & materials, Dedicated team | Time & materials, Dedicated team |
| 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 | Media / Entertainment, Healthcare, Manufacturing | Financial Services, Healthcare, Technology / SaaS |
| Best use cases | Automated video content moderation and compliance tagging for OTT and broadcast platforms, Computer vision quality inspection systems for manufacturing production lines | Enterprise-scale ML platform build requiring 50+ engineers across data engineering, ML, and MLOps tracks simultaneously, Global digital transformation programmes embedding ML into enterprise software at multiple business units |
| Typical project type | Fixed project | Time & materials |
Oxagile vs EPAM Systems: pros and cons
| 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 |
| EPAM Systems | |
|---|---|
| + | 58,000+ engineers provide unmatched concurrent delivery capacity for large-scale enterprise ML programmes |
| + | Glassdoor top-3 Best Tech & AI Company 2026 reflects high engineering talent quality and retention |
| + | Full global delivery footprint enables follow-the-sun support and multi-geography data processing compliance |
| + | Strong programme management and governance infrastructure reduces enterprise delivery risk on complex projects |
| + | ML capability combined with broader digital transformation services reduces vendor proliferation for enterprise buyers |
| - | $100K minimum and large-firm overhead pricing makes EPAM less suitable for mid-market or startup buyers |
| - | ML specialisation depth is diluted by the breadth of a 58,000-person general technology firm |
| - | Large firm bureaucracy and account management layers can slow decision-making on agile ML projects |
Who should choose Oxagile?
Oxagile is the right choice for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
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.
Who should choose EPAM Systems?
EPAM Systems is the right choice for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering.
Global scale with 58,000+ engineers and top-3 Glassdoor AI company ranking — rare ML delivery capacity for simultaneous large enterprise programmes. Minimum engagement starts at $100K. Works best with clients in Financial Services, Healthcare, Technology / SaaS, Media / Entertainment, Logistics, Retail / E-commerce.
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 | EPAM Systems |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Oxagile vs EPAM Systems
| Use case | Oxagile fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Automated video content moderation and compliance tagging for OTT and broadcast platforms | Strong | Limited | Oxagile |
| Computer vision quality inspection systems for manufacturing production lines | Strong | Limited | Oxagile |
| Enterprise-scale ML platform build requiring 50+ engineers across data engineering, ML, and MLOps tracks simultaneously | Limited | Strong | EPAM Systems |
| Global digital transformation programmes embedding ML into enterprise software at multiple business units | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | EPAM Systems |
Verdict: Oxagile vs EPAM Systems
Oxagile (4.0/5) is the stronger overall choice for most Machine Learning projects. 20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. It is best for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
EPAM Systems (3.9/5) is the better choice when large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering. 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 (4.0/5) scores higher overall, but "better" depends on your use case. Oxagile is better for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. EPAM Systems is better for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering.
How do Oxagile and EPAM Systems differ in pricing?
Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $25K. EPAM Systems uses t&m, dedicated team pricing with a minimum engagement of $100K. 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?
EPAM Systems 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 Oxagile and EPAM Systems?
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. EPAM Systems's primary differentiator is: global scale with 58,000+ engineers and top-3 glassdoor ai company ranking — rare ml delivery capacity for simultaneous large enterprise programmes. They also differ in team size (400+ vs 58,000+), minimum engagement ($25K vs $100K), and primary industries served (Media / Entertainment, Healthcare vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.