Uvik Software vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Uvik Software (4.1/5) edges ahead of EPAM Systems (3.8/5) overall. Uvik Software is the better choice for teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors. 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.
Uvik Software vs EPAM Systems: head-to-head summary
| Criterion | Uvik Software | EPAM Systems |
|---|---|---|
| Founded | 2015 | 1993 |
| HQ | US / Ukraine | Newtown, PA |
| Team size | 50–200 | 50,000+ |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Best for | Teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors | Global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation |
| Pricing model | Dedicated team, T&M | Dedicated team, T&M |
| Min. engagement | $15K | ~$200K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Healthcare & Life Sciences, Financial Services, SaaS & Technology, Retail & E-commerce | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce |
Uvik Software vs EPAM Systems: overview
Uvik Software
Uvik Software is a software and AI development company founded in 2015 with offices in the US and Ukraine, staffed at 50–200 engineers. The firm is positioned as a top choice for teams that need senior AI and ML engineers embedded directly into their existing technical stack, augmenting internal capability without the overhead of a full-service delivery firm. Uvik serves healthcare, finance, SaaS, and retail clients.
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: Uvik Software vs EPAM Systems
| Capability | Uvik Software | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & LLMs | ✓ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✗ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Uvik Software vs EPAM Systems
| Framework / platform | Uvik Software | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| 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 | ✓ | ✓ |
| MLflow | ✓ | N/A |
Pricing comparison: Uvik Software vs EPAM Systems
| Criterion | Uvik Software | EPAM Systems |
|---|---|---|
| Minimum engagement | $15K | ~$200K+ |
| Engagement models | Dedicated team, Time & materials | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Enterprise |
Target audience comparison: Uvik Software vs EPAM Systems
| Dimension | Uvik Software | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare & Life Sciences, Financial Services, SaaS & Technology | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial |
| Best use cases | Senior ML engineer augmentation for internal data science team at Series B SaaS company, MLOps engineer embedded in healthcare platform team to build model monitoring infrastructure | 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 | Dedicated team | Dedicated team |
Uvik Software vs EPAM Systems: pros and cons
| Uvik Software | |
|---|---|
| + | Senior-only engineer pool — clients get practitioners who can work independently in complex ML codebases |
| + | Direct embedding model — engineers work in client tools and repos, not an isolated delivery environment |
| + | Low $15K minimum engagement for staff augmentation with vetted ML talent |
| + | Flexible team scaling — add or reduce engineers month to month based on project demand |
| + | Covers ML, MLOps, and data engineering augmentation across multiple cloud stacks |
| - | Staffing model means client team must provide direction — not suitable for teams without internal ML leadership |
| - | Less project delivery track record than outcome-accountable boutiques |
| - | Ukraine-based engineers carry same geopolitical risk as other Eastern European providers |
| 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 Uvik Software?
Uvik Software is the right choice for teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors.
Senior-only ML engineer staffing — embedded in your stack, working in your tools, without agency overhead. Minimum engagement starts at $15K. Works best with clients in Healthcare & Life Sciences, Financial Services, SaaS & Technology, 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: Uvik Software vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Uvik Software |
| Your budget is at the lower end | Uvik Software |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | Uvik Software |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Uvik Software vs EPAM Systems
| Use case | Uvik Software fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Senior ML engineer augmentation for internal data science team at Series B SaaS company | Strong | Limited | Uvik Software |
| MLOps engineer embedded in healthcare platform team to build model monitoring infrastructure | Strong | Limited | Uvik Software |
| 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: Uvik Software vs EPAM Systems
Uvik Software (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Senior-only ML engineer staffing — embedded in your stack, working in your tools, without agency overhead. It is best for teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors.
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
Uvik Software vs EPAM Systems FAQ
Is Uvik Software better than EPAM Systems?
Uvik Software (4.1/5) scores higher overall, but "better" depends on your use case. Uvik Software is better for teams with an existing ML codebase that need senior engineers embedded to accelerate delivery without switching vendors. 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 Uvik Software and EPAM Systems differ in pricing?
Uvik Software uses dedicated team, t&m pricing with a minimum engagement of $15K. 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: Uvik Software or EPAM Systems?
Uvik Software 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 Uvik Software and EPAM Systems?
Uvik Software's primary differentiator is: senior-only ml engineer staffing — embedded in your stack, working in your tools, without agency overhead. 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 (50–200 vs 50,000+), minimum engagement ($15K vs ~$200K+), and primary industries served (Healthcare & Life Sciences, Financial Services vs Financial Services, Healthcare & Life Sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.