Andersen vs EPAM Systems: full comparison for 2026
Quick verdict
Andersen (4.1/5) edges ahead of EPAM Systems (4.1/5) overall. Andersen is the better choice for enterprises wanting AI paired with broad platform engineering. EPAM Systems is the stronger option for global enterprises running AI programs at massive scale. The right choice depends on your project size, budget, and required tech stack.
Andersen vs EPAM Systems: head-to-head summary
| Criterion | Andersen | EPAM Systems |
|---|---|---|
| Founded | 2007 | 1993 |
| HQ | Warsaw, Poland | Newtown, United States |
| Team size | 3,500+ | 62,000+ |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Primary differentiator | 3,500-plus specialists across 20 global offices with a named AI and data practice | Public-company scale (NYSE: EPAM) with financial transparency few competitors offer |
| Pricing model | Dedicated team or retainer | Retainer or dedicated team, enterprise contracting |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, .NET, Java | Python, AWS, Azure |
| Industries served | Financial services, Healthcare, Logistics, Automotive | Financial services, Healthcare, Retail & e-commerce, Media & entertainment |
Andersen vs EPAM Systems: overview
Andersen
Andersen was founded in 2007 and lists its headquarters in Warsaw, Poland, with more than 3,500 specialists across 20 office locations and 16 development centers globally. Its technology stack spans .NET, Java, Python, PHP, Go, and mobile and front-end frameworks, with AI and data as a named practice covering AI consulting, machine learning, data engineering, and robotic process integration. Industries served include financial services, healthcare, logistics, automotive, and media, giving the firm broad vertical coverage alongside its AI work.
EPAM Systems
EPAM Systems dates to 1993, co-founded in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has traded on the NYSE as an S&P 500 constituent since 2012. It employed roughly 62,850 people across more than 55 countries at the end of 2025, a scale category no other agency on this list approaches. AI transformation engineering is a marketed practice area, but at this size it functions as part of a much larger digital engineering and cloud transformation business rather than a standalone specialty.
Services and capabilities: Andersen vs EPAM Systems
| Capability | Andersen | EPAM Systems |
|---|---|---|
| Generative AI | ✗ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI consulting | ✓ | ✓ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Andersen vs EPAM Systems
| Framework / platform | Andersen | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Andersen vs EPAM Systems
| Criterion | Andersen | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Retainer | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Andersen vs EPAM Systems
| Dimension | Andersen | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Logistics | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Running an AI initiative that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside a machine learning project. | Running an AI transformation program spanning multiple business units and regions at once., Needing a publicly-traded vendor for audit or procurement compliance reasons. |
| Typical project type | Dedicated team | Dedicated team |
Andersen vs EPAM Systems: pros and cons
| Andersen | |
|---|---|
| + | Large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs. |
| + | Named AI and data practice, not a generic add-on to broader software services. |
| + | Nearly two decades of software delivery history across multiple technology stacks. |
| + | Vertical coverage spans financial services, healthcare, logistics, and automotive. |
| - | AI is one practice area within a much larger, multi-stack engineering business |
| - | Scale typically means a more formal sales and onboarding process than boutique firms |
| EPAM Systems | |
|---|---|
| + | Public-company financial disclosure that no private agency on this list can match. |
| + | Scale to staff several large AI programs across regions simultaneously. |
| + | S&P 500 membership lets enterprise procurement teams vet it through standard due diligence. |
| + | Partnerships span all three major cloud hyperscalers. |
| - | AI sits inside an enormous engineering business rather than functioning as a dedicated specialty |
| - | Scale generally means slower onboarding and higher minimum engagement than boutique firms |
Who should choose Andersen?
A typical fit: running an AI initiative that needs to plug into an existing multi-technology enterprise stack.
3,500-plus specialists across 20 global offices with a named AI and data practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Logistics, Automotive.
Who should choose EPAM Systems?
A typical fit: running an AI transformation program spanning multiple business units and regions at once.
Public-company scale (NYSE: EPAM) with financial transparency few competitors offer. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.
Decision matrix: Andersen 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 | Andersen |
| Your budget is at the lower end | Compare: Andersen (Not disclosed) vs EPAM Systems (Not disclosed) |
| You need specialist depth in a specific vertical | Andersen |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Andersen |
Use case fit: Andersen vs EPAM Systems
| Use case | Andersen fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Running an AI initiative that needs to plug into an existing multi-technology enterprise stack. | Strong | Strong | Both equally |
| Adding robotic process integration alongside a machine learning project. | Strong | Limited | Andersen |
| Running an AI transformation program spanning multiple business units and regions at once. | Strong | Strong | Both equally |
| Needing a publicly-traded vendor for audit or procurement compliance reasons. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Andersen vs EPAM Systems
Andersen (4.1/5) is the stronger overall choice for most AI Development projects. 3,500-plus specialists across 20 global offices with a named AI and data practice.
EPAM Systems (4.1/5) is worth a look if you need needing a publicly-traded vendor for audit or procurement compliance reasons. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
Andersen vs EPAM Systems FAQ
Is Andersen better than EPAM Systems?
Andersen (4.1/5) scores higher overall, but "better" depends on your use case. Andersen's strongest advantage: large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs. EPAM Systems's strongest advantage: public-company financial disclosure that no private agency on this list can match.
How do Andersen and EPAM Systems differ in pricing?
Andersen uses dedicated team or retainer pricing. EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Andersen 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 Andersen and EPAM Systems?
Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI and data practice. EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. They also differ in team size (3,500+ vs 62,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Healthcare).
Verify all details directly with each agency before making a decision.