KORE1 vs EPAM Systems: full comparison for 2026
Quick verdict
KORE1 (3.9/5) edges ahead of EPAM Systems (3.9/5) overall. KORE1 is the better choice for U.S. companies that want to hire AI engineers onto payroll. EPAM Systems is the stronger option for global enterprises with large, compliance-heavy AI programs. The right choice depends on your project size, budget, and required tech stack.
KORE1 vs EPAM Systems: head-to-head summary
| Criterion | KORE1 | EPAM Systems |
|---|---|---|
| Founded | 2005 | 1993 |
| HQ | Irvine, California, USA | Newtown, Pennsylvania, USA |
| Team size | Not disclosed | 62,850 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | Direct-hire and contract-to-hire paths for AI roles | Scale, compliance maturity and vendor certifications |
| Pricing model | Contract bill rate or direct-hire placement fee; rates on request | Enterprise time and materials; dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Claude, OpenAI, Gemini |
| Industries served | Healthcare, SaaS, Fintech, Manufacturing | Fintech, Healthcare, Retail, Manufacturing, Travel |
KORE1 vs EPAM Systems: overview
KORE1
KORE1 was founded in 2005 and is headquartered in Irvine, California, serving clients in more than 30 U.S. metro areas. Unlike most companies on this list, it is a traditional staffing and recruiting firm: it places AI and ML engineers as contractors, contract-to-hire or direct employees of the client. It says it fills AI roles in an average of 17 days with 92% twelve-month retention (per company website; independently unverifiable).
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with about 62,850 employees as of June 30, 2026, of whom roughly 56,650 work in delivery. It reports more than 5,700 Claude-certified engineers and set a target of 10,000, along with thousands of OpenAI- and Gemini-certified specialists. The company is targeting $600 million in AI-native services revenue for 2026. Its model is enterprise delivery, so individual staff augmentation usually sits inside a larger program.
Services and capabilities: KORE1 vs EPAM Systems
| Capability | KORE1 | EPAM Systems |
|---|---|---|
| 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: KORE1 vs EPAM Systems
| Framework / platform | KORE1 | EPAM Systems |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS SageMaker | N/A | ✓ |
| Azure ML | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: KORE1 vs EPAM Systems
| Criterion | KORE1 | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Contract-to-hire, Full-time dedicated engineers | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: KORE1 vs EPAM Systems
| Dimension | KORE1 | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, SaaS, Fintech | Fintech, Healthcare, Retail |
| Best use cases | Hiring a U.S.-based ML engineer as a permanent employee, Contract-to-hire for an MLOps role | Staffing a multi-team GenAI program at a global bank, Adding certified Claude engineers to an enterprise AI platform |
| Typical project type | Contract-to-hire | Dedicated team |
KORE1 vs EPAM Systems: pros and cons
| KORE1 | |
|---|---|
| + | Only company here built around converting contractors into your own employees |
| + | U.S.-based candidates for roles that need on-site or domestic staff |
| + | Stated 17-day average fill time |
| - | Recruiter-led screening; technical vetting relies on your interviews |
| - | U.S. salaries make it the costliest option per engineer |
| - | Performance claims are self-reported |
| EPAM Systems | |
|---|---|
| + | Largest bench on this list, with security and compliance processes to match |
| + | Thousands of engineers certified on major model platforms |
| + | Can staff any role an AI program needs |
| - | Built for enterprise programs; a single-engineer request is a poor fit |
| - | Highest overhead and slowest procurement on this list |
| - | Rates not published |
Who should choose KORE1?
A typical fit: hiring a U.S.-based ML engineer as a permanent employee.
Direct-hire and contract-to-hire paths for AI roles. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, SaaS, Fintech, Manufacturing.
Who should choose EPAM Systems?
A typical fit: staffing a multi-team GenAI program at a global bank.
Scale, compliance maturity and vendor certifications. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail, Manufacturing, Travel.
Decision matrix: KORE1 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 | KORE1 |
| Your budget is at the lower end | Compare: KORE1 (Not disclosed) vs EPAM Systems (Not disclosed) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: KORE1 vs EPAM Systems
| Use case | KORE1 fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Hiring a U.S.-based ML engineer as a permanent employee | Strong | Limited | KORE1 |
| Contract-to-hire for an MLOps role | Strong | Limited | KORE1 |
| Staffing a multi-team GenAI program at a global bank | Limited | Strong | EPAM Systems |
| Adding certified Claude engineers to an enterprise AI platform | Limited | Strong | EPAM Systems |
Verdict: KORE1 vs EPAM Systems
KORE1 (3.9/5) is the stronger overall choice for most AI Staffing projects. Direct-hire and contract-to-hire paths for AI roles.
EPAM Systems (3.9/5) is worth a look if you need adding certified Claude engineers to an enterprise AI platform. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
KORE1 vs EPAM Systems FAQ
Is KORE1 better than EPAM Systems?
KORE1 (3.9/5) scores higher overall, but "better" depends on your use case. KORE1's strongest advantage: only company here built around converting contractors into your own employees. EPAM Systems's strongest advantage: largest bench on this list, with security and compliance processes to match.
How do KORE1 and EPAM Systems differ in pricing?
KORE1 uses contract bill rate or direct-hire placement fee; rates on request pricing. EPAM Systems uses enterprise 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: KORE1 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 KORE1 and EPAM Systems?
KORE1's primary differentiator is: direct-hire and contract-to-hire paths for AI roles. EPAM Systems's primary differentiator is: Scale, compliance maturity and vendor certifications. They also differ in team size (Not disclosed vs 62,850), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, SaaS vs Fintech, Healthcare).
Verify all details directly with each agency before making a decision.