Oxagile vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Oxagile (4.2/5) edges ahead of EPAM Systems (3.8/5) overall. Oxagile is the better choice for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality. EPAM Systems is the stronger option for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. 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 | Newtown, PA |
| Team size | 250–999 | 50,000+ |
| Rating | 4.2 / 5 | 3.8 / 5 |
| Best for | Enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality | Global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation |
| Pricing model | Fixed project, T&M, dedicated team | Dedicated team, T&M |
| Min. engagement | $20K | ~$200K+ |
| Primary tech stack | Python, TensorFlow, OpenCV | Python, TensorFlow, PyTorch |
| Industries served | Healthcare & Life Sciences, Media & Entertainment, Financial Services, Manufacturing & Industrial, Retail & E-commerce | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce |
Oxagile vs EPAM Systems: overview
Oxagile
Oxagile is a software and AI development company founded in 2005 and headquartered in Minsk, Belarus, with 250–999 employees. The firm offers AI software development services with a focus on data-driven solutions for digital transformation. Oxagile is recognised for connected care AI in healthcare, computer vision in media and retail, and custom ML systems for enterprise clients across multiple verticals.
EPAM Systems
EPAM Systems is a global software engineering and IT services company founded in 1993 and headquartered in Newtown, PA, with 50,000+ professionals. The firm offers AI-native engineering services with a focus on scaling ML, generative AI, and agentic systems across large enterprises with strict governance requirements. EPAM is a powerhouse for building complex, software-heavy AI products from scratch, though it comes at a premium price point.
Services and capabilities: Oxagile vs EPAM Systems
| Capability | Oxagile | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & LLMs | ✓ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✗ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: Oxagile vs EPAM Systems
| Framework / platform | Oxagile | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Vertex AI | N/A | N/A |
| Scikit-learn | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Apache Spark | N/A | ✓ |
| Kubernetes | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Oxagile vs EPAM Systems
| Criterion | Oxagile | EPAM Systems |
|---|---|---|
| Minimum engagement | $20K | ~$200K+ |
| Engagement models | Fixed project, Time & materials, Dedicated team | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Enterprise |
Target audience comparison: Oxagile vs EPAM Systems
| Dimension | Oxagile | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare & Life Sciences, Media & Entertainment, Financial Services | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial |
| Best use cases | Connected care AI for remote patient monitoring and telemedicine platform, Computer vision content moderation system for media streaming service | Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope, Enterprise GenAI platform with strict governance and compliance for regulated financial institution |
| Typical project type | Fixed project | Dedicated team |
Oxagile vs EPAM Systems: pros and cons
| Oxagile | |
|---|---|
| + | Competitive rates — 40–60% lower than US equivalents at comparable engineering quality |
| + | Connected care and healthcare imaging AI track record with PACS integration experience |
| + | Lower $20K minimum makes specialist ML accessible for budget-conscious projects |
| + | Computer vision depth in both media and industrial inspection use cases |
| + | Flexible three-model engagement covers fixed scope through long-term dedicated teams |
| - | Belarus-based delivery carries geopolitical risk and potential regulatory complications for some enterprises |
| - | Less generative AI and LLM depth than firms with more recent AI-native practices |
| - | Brand visibility lower than US-headquartered peers in North American procurement processes |
| EPAM Systems | |
|---|---|
| + | 50,000+ professionals — unmatched delivery scale for global multi-stream AI programmes |
| + | AI-native engineering practice purpose-built for scaling ML, GenAI, and agentic systems |
| + | Strict governance and compliance frameworks for regulated enterprise AI delivery |
| + | Full-stack capability from hardware infrastructure through ML models to frontend AI products |
| + | Strong US and Eastern European delivery mix for cost-performance balance at enterprise scale |
| - | ~$200K+ minimum makes EPAM inaccessible for all but the largest enterprise budgets |
| - | Large-firm overhead — procurement, contracting, and ramp-up timelines are significantly longer than boutiques |
| - | Generalist breadth means less niche ML depth than boutiques in specific domains like healthcare imaging or time-series |
Who should choose Oxagile?
Oxagile is the right choice for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality.
Strong connected-care and healthcare AI track record combined with 40–60% cost advantage versus US equivalents. Minimum engagement starts at $20K. Works best with clients in Healthcare & Life Sciences, Media & Entertainment, Financial Services, Manufacturing & Industrial, Retail & E-commerce.
Who should choose EPAM Systems?
EPAM Systems is the right choice for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
AI-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. Minimum engagement starts at ~$200K+. Works best with clients in Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, 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 | Oxagile |
| 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 |
|---|---|---|---|
| Connected care AI for remote patient monitoring and telemedicine platform | Strong | Limited | Oxagile |
| Computer vision content moderation system for media streaming service | Strong | Limited | Oxagile |
| Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope | Limited | Strong | EPAM Systems |
| Enterprise GenAI platform with strict governance and compliance for regulated financial institution | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Oxagile vs EPAM Systems
Oxagile (4.2/5) is the stronger overall choice for most Machine Learning Development projects. Strong connected-care and healthcare AI track record combined with 40–60% cost advantage versus US equivalents. It is best for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality.
EPAM Systems (3.8/5) is the better choice when global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. 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 (4.2/5) scores higher overall, but "better" depends on your use case. Oxagile is better for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality. EPAM Systems is better for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
How do Oxagile and EPAM Systems differ in pricing?
Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $20K. 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: strong connected-care and healthcare ai track record combined with 40–60% cost advantage versus us equivalents. EPAM Systems's primary differentiator is: ai-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. They also differ in team size (250–999 vs 50,000+), minimum engagement ($20K vs ~$200K+), and primary industries served (Healthcare & Life Sciences, Media & Entertainment vs Financial Services, Healthcare & Life Sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.