Revelo vs EPAM Systems: full comparison for 2026
Quick verdict
Revelo (3.9/5) edges ahead of EPAM Systems (3.9/5) overall. Revelo is the better choice for companies hiring LatAm developers without a local entity. 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.
Revelo vs EPAM Systems: head-to-head summary
| Criterion | Revelo | EPAM Systems |
|---|---|---|
| Founded | 2014 | 1993 |
| HQ | Miami, Florida, USA | Newtown, Pennsylvania, USA |
| Team size | 251–500 | 62,850 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | Payroll and compliance handled for LatAm hires | Scale, compliance maturity and vendor certifications |
| Pricing model | Monthly per developer including payroll and compliance; rates on request | Enterprise time and materials; dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI, AWS | Claude, OpenAI, Gemini |
| Industries served | SaaS, Fintech, E-commerce, AI labs | Fintech, Healthcare, Retail, Manufacturing, Travel |
Revelo vs EPAM Systems: overview
Revelo
Revelo traces its start to late 2014 and is headquartered in Miami, with 251–500 employees according to one directory. It runs a platform of more than 400,000 Latin American developers and handles sourcing, compliance, local payroll and benefits, so clients can hire individuals or whole teams without opening a local entity. It has also moved into LLM post-training work, supplying developers for supervised fine-tuning and RLHF projects. It has raised more than $48 million from investors including Social Capital and Valor Capital Group.
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: Revelo vs EPAM Systems
| Capability | Revelo | 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: Revelo vs EPAM Systems
| Framework / platform | Revelo | EPAM Systems |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | ✓ |
| Azure ML | N/A | ✓ |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Revelo vs EPAM Systems
| Criterion | Revelo | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs EPAM Systems
| Dimension | Revelo | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Fintech, Healthcare, Retail |
| Best use cases | Hiring a full-time LatAm developer with payroll handled, Staffing LLM post-training projects | Staffing a multi-team GenAI program at a global bank, Adding certified Claude engineers to an enterprise AI platform |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Revelo vs EPAM Systems: pros and cons
| Revelo | |
|---|---|
| + | Removes the legal and payroll work of hiring in Latin America |
| + | Large candidate pool |
| + | Experience supplying engineers for LLM training work |
| - | Platform model means vetting is lighter than at engineering agencies |
| - | AI focus leans toward LLM training data over product engineering |
| - | Pricing requires a call |
| 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 Revelo?
A typical fit: hiring a full-time LatAm developer with payroll handled.
Payroll and compliance handled for LatAm hires. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, AI labs.
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: Revelo 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 | Revelo |
| Your budget is at the lower end | Compare: Revelo (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: Revelo vs EPAM Systems
| Use case | Revelo fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Hiring a full-time LatAm developer with payroll handled | Strong | Limited | Revelo |
| Staffing LLM post-training projects | Strong | Strong | Both equally |
| Staffing a multi-team GenAI program at a global bank | Strong | Strong | Both equally |
| Adding certified Claude engineers to an enterprise AI platform | Limited | Strong | EPAM Systems |
Verdict: Revelo vs EPAM Systems
Revelo (3.9/5) is the stronger overall choice for most AI Staffing projects. Payroll and compliance handled for LatAm hires.
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
Revelo vs EPAM Systems FAQ
Is Revelo better than EPAM Systems?
Revelo (3.9/5) scores higher overall, but "better" depends on your use case. Revelo's strongest advantage: removes the legal and payroll work of hiring in Latin America. EPAM Systems's strongest advantage: largest bench on this list, with security and compliance processes to match.
How do Revelo and EPAM Systems differ in pricing?
Revelo uses monthly per developer including payroll and compliance; 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: Revelo or EPAM Systems?
Revelo 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 Revelo and EPAM Systems?
Revelo's primary differentiator is: payroll and compliance handled for LatAm hires. EPAM Systems's primary differentiator is: Scale, compliance maturity and vendor certifications. They also differ in team size (251–500 vs 62,850), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (SaaS, Fintech vs Fintech, Healthcare).
Verify all details directly with each agency before making a decision.