EPAM Systems vs Andersen: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Andersen (4.0/5) overall. EPAM Systems is the better choice for enterprises wanting AI advisory paired directly with engineering delivery. Andersen is the stronger option for enterprises wanting AI advisory 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 | 4.0 / 5 |
| Primary differentiator | Engineering-heavy advisory where strategists and the build team sit together | 3,500-plus specialists across 20 global offices with a named AI advisory practice |
| Pricing model | Retainer or dedicated team, enterprise contracting | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, .NET, Java |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media & entertainment | Financial services, Healthcare, Logistics, Automotive |
EPAM Systems vs Andersen: overview
EPAM Systems
EPAM Systems was co-founded in 1993 in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and it's been an S&P 500 constituent on the NYSE since 2012. By the end of 2025 it employed roughly 62,850 people across more than 55 countries. Its AI advisory and transformation engineering work runs as a company-wide practice, and what separates it from a typical Big Four strategy firm is that its advisors sit directly alongside the technical staff who build what gets recommended, rather than handing off to a separate delivery team.
Andersen
Andersen was founded in 2007 and is headquartered in Warsaw, Poland, running more than 3,500 specialists across 20 office locations and 16 development centers globally. Its named AI and data practice spans advisory, machine learning, data engineering, and robotic process integration, sitting on top of a broader stack that covers .NET, Java, Python, PHP, and Go. Its client industries run through financial services, healthcare, logistics, automotive, and media.
Services and capabilities: EPAM Systems vs Andersen
| Capability | EPAM Systems | Andersen |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✗ | ✓ |
| MLOps | ✓ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs Andersen
| Framework / platform | EPAM Systems | Andersen |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| LangChain | N/A | N/A |
| PyTorch | 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 an AI strategy engagement that needs to move straight into technical build with the same team., Needing a publicly-traded vendor for audit or procurement compliance reasons. | Running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside an AI advisory engagement. |
| Typical project type | Dedicated team | Dedicated team |
EPAM Systems vs Andersen: pros and cons
| EPAM Systems | |
|---|---|
| + | Public-company financial disclosure that a privately held agency simply can't offer. |
| + | Advisors and builders sit together, avoiding the strategy-to-build handoff gap common at pure advisory firms. |
| + | Enough scale to run several large AI advisory and build programs across regions simultaneously. |
| + | S&P 500 membership lets enterprise procurement run standard financial due diligence. |
| - | AI advisory sits inside an enormous engineering business rather than as its own dedicated specialty |
| - | Enterprise scale generally means slower onboarding and a higher minimum than boutique agencies |
| Andersen | |
|---|---|
| + | A large global footprint, 20 offices and 16 development centers, supports concurrent enterprise programs. |
| + | The named AI and data practice isn't just a marketing 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 advisory is one practice area within a much larger, multi-stack engineering business |
| - | Scale typically means a more formal sales and onboarding process than smaller agencies |
Who should choose EPAM Systems?
A typical fit: running an AI strategy engagement that needs to move straight into technical build with the same team.
Engineering-heavy advisory where strategists and the build team sit together. 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 an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack.
3,500-plus specialists across 20 global offices with a named AI advisory 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 an AI strategy engagement that needs to move straight into technical build with the same team. | Strong | Strong | Both equally |
| Needing a publicly-traded vendor for audit or procurement compliance reasons. | Strong | Strong | Both equally |
| Running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack. | Strong | Strong | Both equally |
| Adding robotic process integration alongside an AI advisory engagement. | Limited | Strong | Andersen |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: EPAM Systems vs Andersen
EPAM Systems (4.1/5) is the stronger overall choice for most AI Consulting projects. Engineering-heavy advisory where strategists and the build team sit together.
Andersen (4.0/5) is worth a look if you need adding robotic process integration alongside an AI advisory engagement. 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 a privately held agency simply can't offer. Andersen's strongest advantage: a large global footprint, 20 offices and 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 agency before shortlisting.
What are the main differences between EPAM Systems and Andersen?
EPAM Systems's primary differentiator is: engineering-heavy advisory where strategists and the build team sit together. Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI advisory 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 agency before making a decision.