EPAM Systems vs Encora: full comparison for 2026
Quick verdict
EPAM Systems (4.6/5) edges ahead of Encora (4.0/5) overall. EPAM Systems is the better choice for large enterprises, regulated industries, multi-team AI programs. Encora is the stronger option for U.S. firms wanting nearshore AI teams from a large provider. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Encora: head-to-head summary
| Criterion | EPAM Systems | Encora |
|---|---|---|
| Founded | 1993 | 2005 |
| HQ | Newtown, Pennsylvania, USA | Scottsdale, Arizona, USA |
| Team size | 61,000+ | 9,500+ |
| Rating | 4.6 / 5 | 4.0 / 5 |
| Primary differentiator | Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes | Large Mexican and Latin American delivery base with an AI engineering practice |
| Pricing model | Time and materials for augmented engineers; dedicated team and managed program contracts; rates on request | Dedicated teams; time and materials; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, OpenAI, AWS |
| Industries served | Financial services, Healthcare & life sciences, Retail & e-commerce, Software & SaaS, Travel, Manufacturing | Software & SaaS, Healthcare & life sciences, Financial services, Travel |
EPAM Systems vs Encora: 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.
Encora
Encora was founded in 2005 and is headquartered in Scottsdale, Arizona. It took its current name in 2020 after combining subsidiaries including Nearsoft, and it later absorbed Avantica. The company reports more than 9,500 engineers, designers and domain experts across the Americas, Europe, India and Southeast Asia, with AI and LLM engineering among its service lines. In December 2025 the Indian IT firm Coforge agreed to acquire Encora for about $2.35 billion, and Coforge said in April 2026 that all regulatory clearances had been received.
Services and capabilities: EPAM Systems vs Encora
| Capability | EPAM Systems | Encora |
|---|---|---|
| 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 Encora
| Framework / platform | EPAM Systems | Encora |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: EPAM Systems vs Encora
| Criterion | EPAM Systems | Encora |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Full-time dedicated engineers, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs Encora
| Dimension | EPAM Systems | Encora |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare & life sciences, Retail & e-commerce | Software & SaaS, Healthcare & life sciences, Financial services |
| 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 a nearshore team for a SaaS product's AI roadmap, Adding data and LLM engineers to a healthcare platform |
| Typical project type | Full-time dedicated engineers | Dedicated team |
EPAM Systems vs Encora: 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 |
| Encora | |
|---|---|
| + | Nearshore delivery from Mexico and Latin America on U.S. hours |
| + | Scale to staff several teams at once |
| + | AI work is a named service line with its own platform |
| - | The Coforge acquisition may change account management, pricing and contract terms |
| - | Dedicated teams are the norm, so single-seat placements are less common |
| - | AI depth varies by delivery center |
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 Encora?
A typical fit: building a nearshore team for a SaaS product's AI roadmap.
Large Mexican and Latin American delivery base with an AI engineering practice. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Healthcare & life sciences, Financial services, Travel.
Decision matrix: EPAM Systems vs Encora
| 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 Encora (Not published) |
| You need overlap with U.S. working hours | Encora |
| You need specialist depth in a specific vertical | EPAM Systems |
Use case fit: EPAM Systems vs Encora
| Use case | EPAM Systems fit | Encora fit | Winner |
|---|---|---|---|
| Adding a 15-person GenAI squad to a bank's existing platform team | Strong | Strong | Both equally |
| Rolling out agentic workflows across several business units under one master agreement | Strong | Limited | EPAM Systems |
| Building a nearshore team for a SaaS product's AI roadmap | Limited | Strong | Encora |
| Adding data and LLM engineers to a healthcare platform | Strong | Strong | Both equally |
Verdict: EPAM Systems vs Encora
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.
Encora (4.0/5) is worth a look if you need adding data and LLM engineers to a healthcare platform. If your situation matches that, Encora is a competitive option.
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EPAM Systems vs Encora FAQ
Is EPAM Systems better than Encora?
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. Encora's strongest advantage: nearshore delivery from Mexico and Latin America on U.S. hours.
How do EPAM Systems and Encora differ in pricing?
EPAM Systems uses time and materials for augmented engineers; dedicated team and managed program contracts; rates on request pricing. Encora uses dedicated teams; time and materials; 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 Encora?
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 Encora?
EPAM Systems's primary differentiator is: thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes. Encora's primary differentiator is: large Mexican and Latin American delivery base with an AI engineering practice. They also differ in team size (61,000+ vs 9,500+), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Healthcare & life sciences vs Software & SaaS, Healthcare & life sciences).
Verify all details directly with each company before making a decision.