EPAM Systems vs Andersen: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Andersen (4.1/5) overall. EPAM Systems is the better choice for global enterprises running generative AI at massive scale. Andersen is the stronger option for enterprises wanting generative AI paired with broad platform engineering. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Andersen: head-to-head summary
| Criterion | EPAM Systems | Andersen |
|---|---|---|
| Founded | 1993 | 2007 |
| HQ | Newtown, United States | Warsaw, Poland |
| Team size | 62,000+ | 3,500+ |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Primary differentiator | Public-company scale (NYSE: EPAM) with financial transparency few competitors offer | 3,500-plus specialists across 20 global offices with a named AI and data practice |
| Pricing model | Retainer or dedicated team, enterprise contracting | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI API, AWS | Python, OpenAI API, .NET |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media & entertainment | Financial services, Healthcare, Logistics, Automotive |
EPAM Systems vs Andersen: overview
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. Generative AI transformation engineering is a marketed practice area, but at this size it functions as part of a much larger digital engineering business rather than a standalone specialty.
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 named AI and data practice covers generative AI consulting, machine learning, data engineering, and robotic process integration, alongside a broader stack spanning .NET, Java, Python, PHP, and Go. Industries served include financial services, healthcare, logistics, automotive, and media.
Services and capabilities: EPAM Systems vs Andersen
| Capability | EPAM Systems | Andersen |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✗ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI consulting | ✓ | ✓ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs Andersen
| Framework / platform | EPAM Systems | Andersen |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: EPAM Systems vs Andersen
| Criterion | EPAM Systems | Andersen |
|---|---|---|
| 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: EPAM Systems vs Andersen
| Dimension | EPAM Systems | Andersen |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Financial services, Healthcare, Logistics |
| Best use cases | Running a generative AI transformation program spanning multiple business units and regions., Needing a publicly-traded vendor for audit or procurement compliance reasons. | Running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside a generative AI project. |
| Typical project type | Dedicated team | Dedicated team |
EPAM Systems vs Andersen: pros and cons
| EPAM Systems | |
|---|---|
| + | Public-company financial disclosure that no private agency on this list can match. |
| + | Scale to staff several large generative 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. |
| - | Generative AI sits inside an enormous engineering business rather than as a dedicated specialty |
| - | Scale generally means slower onboarding and higher minimum engagement than boutique firms |
| 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. |
| - | Generative 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 |
Who should choose EPAM Systems?
A typical fit: running a generative AI transformation program spanning multiple business units and regions.
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.
Who should choose Andersen?
A typical fit: running a generative 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.
Decision matrix: EPAM Systems vs Andersen
| 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 | EPAM Systems |
| Your budget is at the lower end | Compare: EPAM Systems (Not disclosed) vs Andersen (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 | EPAM Systems |
Use case fit: EPAM Systems vs Andersen
| Use case | EPAM Systems fit | Andersen fit | Winner |
|---|---|---|---|
| Running a generative AI transformation program spanning multiple business units and regions. | Strong | Strong | Both equally |
| Needing a publicly-traded vendor for audit or procurement compliance reasons. | Strong | Strong | Both equally |
| Running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack. | Strong | Strong | Both equally |
| Adding robotic process integration alongside a generative AI project. | Limited | Strong | Andersen |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems vs Andersen
EPAM Systems (4.1/5) is the stronger overall choice for most Generative AI Development projects. Public-company scale (NYSE: EPAM) with financial transparency few competitors offer.
Andersen (4.1/5) is worth a look if you need adding robotic process integration alongside a generative AI project. If your situation matches that, Andersen is a competitive option.
Related comparisons
EPAM Systems vs Andersen FAQ
Is EPAM Systems better than Andersen?
EPAM Systems (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: public-company financial disclosure that no private agency on this list can match. Andersen's strongest advantage: large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs.
How do EPAM Systems and Andersen differ in pricing?
EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Andersen uses dedicated team or retainer 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 Andersen?
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 Andersen?
EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI and data practice. They also differ in team size (62,000+ vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.