EPAM Systems vs N-iX: full comparison for 2026
Quick verdict
EPAM Systems (4.6/5) edges ahead of N-iX (4.2/5) overall. EPAM Systems is the better choice for large enterprises, regulated industries, multi-team AI programs. N-iX is the stronger option for data-heavy AI work needing a large European team. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs N-iX: head-to-head summary
| Criterion | EPAM Systems | N-iX |
|---|---|---|
| Founded | 1993 | 2002 |
| HQ | Newtown, Pennsylvania, USA | Lviv, Ukraine |
| Team size | 61,000+ | 2,000+ |
| Rating | 4.6 / 5 | 4.2 / 5 |
| Primary differentiator | Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes | Data engineering and ML from a 2,000-person European employer with two decades of delivery history |
| Pricing model | Time and materials for augmented engineers; dedicated team and managed program contracts; rates on request | Time and materials; dedicated teams; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Spark, Databricks |
| Industries served | Financial services, Healthcare & life sciences, Retail & e-commerce, Software & SaaS, Travel, Manufacturing | Financial services, Telecommunications, Retail & e-commerce, Manufacturing, Logistics |
EPAM Systems vs N-iX: overview
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with roughly 61,000 employees across delivery centers in Europe, the Americas and Asia. It is a public company listed on the New York Stock Exchange. On its Q2 2026 earnings call, management said EPAM had more than 5,700 Anthropic-certified engineers and was among the five largest certified partners worldwide, with AI-native work making up about 11% of revenue. EPAM employs its engineers directly and sells them as augmented capacity, dedicated teams or managed programs, though most large accounts end up in the managed model.
N-iX
N-iX began in Lviv in 2002 as Novellix, a startup building Linux applications for Novell, and is still headquartered there. The company reports more than 2,000 professionals across Ukrainian hubs and offices elsewhere in Europe and Latin America. Machine learning, data analytics and cloud sit among its main practices, and clients can extend their teams with N-iX engineers or hand over a full project. It is an employer-based firm, not a marketplace.
Services and capabilities: EPAM Systems vs N-iX
| Capability | EPAM Systems | N-iX |
|---|---|---|
| LLM / GenAI engineers | ✓ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✓ | ✓ |
| AI agent development | ✓ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
Tech stack comparison: EPAM Systems vs N-iX
| Framework / platform | EPAM Systems | N-iX |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | ✓ |
Pricing comparison: EPAM Systems vs N-iX
| Criterion | EPAM Systems | N-iX |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs N-iX
| Dimension | EPAM Systems | N-iX |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare & life sciences, Retail & e-commerce | Financial services, Telecommunications, Retail & e-commerce |
| Best use cases | Adding a 15-person GenAI squad to a bank's existing platform team, Rolling out agentic workflows across several business units under one master agreement | Building the data platform and feature store behind a forecasting model, Extending an EU retailer's analytics team with ML engineers |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
EPAM Systems vs N-iX: pros and cons
| EPAM Systems | |
|---|---|
| + | A Q2 2026 earnings call put its Anthropic-certified engineer count above 5,700, the largest verified GenAI bench on this list |
| + | Public-company reporting, audited financials and mature security reviews make vendor onboarding easier at banks and insurers |
| + | Can staff ten or more AI engineers in parallel across several time zones without running out of senior people |
| + | Deep data-platform practice means LLM work and the data engineering under it can come from one supplier |
| - | Rates are among the highest on this list and are only shared after scoping |
| - | Small requests for one or two engineers rarely get the same attention as large programs |
| - | Engagements tend to drift toward managed delivery, which moves decisions away from your own team |
| N-iX | |
|---|---|
| + | Data-platform depth suits AI work that depends on messy enterprise data |
| + | Large enough to staff multi-team programs from one vendor |
| + | European time zones overlap well with UK and EU clients |
| - | AI is part of a broad engineering catalog, so check each engineer's ML track record |
| - | Ukrainian delivery may raise continuity questions in some procurement reviews |
| - | Rates are not published |
Who should choose EPAM Systems?
A typical fit: adding a 15-person GenAI squad to a bank's existing platform team.
Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare & life sciences, Retail & e-commerce, Software & SaaS, Travel, Manufacturing.
Who should choose N-iX?
A typical fit: building the data platform and feature store behind a forecasting model.
Data engineering and ML from a 2,000-person European employer with two decades of delivery history. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Telecommunications, Retail & e-commerce, Manufacturing, Logistics.
Decision matrix: EPAM Systems vs N-iX
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; EPAM Systems rates higher overall |
| You want the supplier to own delivery as well as staffing | Both; EPAM Systems rates higher overall |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: EPAM Systems (Not published) vs N-iX (Not published) |
| You need overlap with U.S. working hours | Neither is nearshore; agree overlap hours up front |
| You need specialist depth in a specific vertical | EPAM Systems |
Use case fit: EPAM Systems vs N-iX
| Use case | EPAM Systems fit | N-iX fit | Winner |
|---|---|---|---|
| Adding a 15-person GenAI squad to a bank's existing platform team | Strong | Limited | EPAM Systems |
| Rolling out agentic workflows across several business units under one master agreement | Strong | Limited | EPAM Systems |
| Building the data platform and feature store behind a forecasting model | Limited | Strong | N-iX |
| Extending an EU retailer's analytics team with ML engineers | Limited | Strong | N-iX |
Verdict: EPAM Systems vs N-iX
EPAM Systems (4.6/5) is the stronger overall choice for most AI Staff Augmentation projects. Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes.
N-iX (4.2/5) is worth a look if you need extending an EU retailer's analytics team with ML engineers. If your situation matches that, N-iX is a competitive option.
Related comparisons
EPAM Systems vs N-iX FAQ
Is EPAM Systems better than N-iX?
EPAM Systems (4.6/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: a Q2 2026 earnings call put its Anthropic-certified engineer count above 5,700, the largest verified GenAI bench on this list. N-iX's strongest advantage: data-platform depth suits AI work that depends on messy enterprise data.
How do EPAM Systems and N-iX differ in pricing?
EPAM Systems uses time and materials for augmented engineers; dedicated team and managed program contracts; rates on request pricing. N-iX uses time and materials; dedicated teams; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: EPAM Systems or N-iX?
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 company before shortlisting.
What are the main differences between EPAM Systems and N-iX?
EPAM Systems's primary differentiator is: thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes. N-iX's primary differentiator is: data engineering and ML from a 2,000-person European employer with two decades of delivery history. They also differ in team size (61,000+ vs 2,000+), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Healthcare & life sciences vs Financial services, Telecommunications).
Verify all details directly with each company before making a decision.