EPAM Systems vs Andersen: full comparison for 2026
Last updated: July 2026
Quick verdict
EPAM Systems (4.0/5) edges ahead of Andersen (3.7/5) overall. EPAM Systems is the better choice for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner.. Andersen is the stronger option for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. 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, Pennsylvania, United States | Warsaw, Poland |
| Team size | 50,000+ | 3,600+ |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner. | Enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.). |
| Pricing model | Time & materials, managed engagement | Time & materials, dedicated team |
| Min. engagement | $100,000+ | Not published |
| Primary tech stack | AWS SageMaker, Azure ML, Databricks | Python, .NET, Java |
| Industries served | FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom | FinTech, Healthcare, Retail & E-commerce, Manufacturing |
EPAM Systems vs Andersen: overview
EPAM Systems
EPAM Systems, Inc. (NYSE: EPAM) has operated since 1993 and has become one of the largest global digital transformation and engineering services providers, with a workforce in the tens of thousands. Its AI development services span generative AI, machine learning consulting, and intelligent automation, delivered by consultants, designers, and engineers who have worked with AI technologies for decades, and Clutch lists a minimum project size of $100,000+ with $150–$199/hr average rates. As a large publicly traded firm, EPAM offers the deepest compliance and financial transparency in this list, at a correspondingly higher entry price point.
Andersen
Andersen was founded in 2007 by Alexandr Khomich, with Alexandr Orlov as co-founder/CTO and Alexandr Grigoryev as CEO, and is headquartered in Warsaw, Poland with additional presence in Krakow. The company employs more than 3,600 in-house developers, QA engineers, business analysts, designers, project managers, DevOps, and security specialists across 20 office locations and 16 development centers, with a technology stack spanning .NET, Java, Python, PHP, Go, mobile, and front-end frameworks alongside AI consulting, machine learning, and data engineering. Its AI/data practice sits within a much broader general software-engineering portfolio.
Services and capabilities: EPAM Systems vs Andersen
| Capability | EPAM Systems | Andersen |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs Andersen
| Framework / platform | EPAM Systems | Andersen |
|---|---|---|
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: EPAM Systems vs Andersen
| Criterion | EPAM Systems | Andersen |
|---|---|---|
| Minimum engagement | $100,000+ | Not published |
| Engagement models | Managed engagement, Time & materials, Staff augmentation | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Minimum disclosed | 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 | FinTech, Healthcare, Retail & E-commerce | FinTech, Healthcare, Retail & E-commerce |
| Best use cases | Large enterprise with a $100K+ budget needs a publicly traded vendor for AI/ML procurement compliance requirements., Fortune 500 company needs generative AI deployed at global scale with responsible-AI governance built in. | Enterprise wants AI consulting bundled with broad general software engineering (.NET, Java, mobile) from one vendor., Company needs a large, multi-language development team where AI/ML is one of several needed capabilities. |
| Typical project type | Managed engagement | Dedicated team |
EPAM Systems vs Andersen: pros and cons
| EPAM Systems | |
|---|---|
| + | Publicly traded on the NYSE, giving clients access to audited financial disclosures unavailable from private competitors. |
| + | 50,000+ global workforce provides essentially unlimited delivery capacity for the largest enterprise AI programs. |
| + | 31+ years of engineering history (since 1993) predates the current AI hiring wave by decades. |
| + | AI/generative AI practice spans strategy through production deployment and responsible-AI compliance, covering the full enterprise lifecycle. |
| + | Scale/compliance standout among the researched companies — the clearest choice for regulated, large-budget enterprise programs. |
| - | $100,000+ minimum project size (per Clutch) puts EPAM out of reach for startups and mid-market budgets under six figures. |
| - | $150–$199/hr rate band is among the highest in this list, reflecting large-firm overhead. |
| - | At 50,000+ employees, AI/ML is one practice among dozens — clients should confirm they're getting a dedicated AI pod, not a generalist team. |
| Andersen | |
|---|---|
| + | 3,600+ in-house experts across 20 office locations and 16 development centers gives it substantial delivery flexibility. |
| + | 17 years of company history (since 2007) with a broad, multi-language technology stack beyond AI alone. |
| + | AI-powered robotic integration line suggests genuine applied AI work beyond pure software consulting. |
| - | AI consulting and ML are a smaller practice within a much broader general software-engineering portfolio (.NET, Java, PHP, Go, mobile). |
| - | Reported HQ city varies between Warsaw and Krakow across sources — confirm the primary contracting entity. |
| - | At 3,600+ employees, clients should confirm they're assigned a genuinely AI-specialized pod, not general developers relabeled for the engagement. |
Who should choose EPAM Systems?
EPAM Systems is the right choice for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner..
Public-company (NYSE: EPAM) scale and compliance rigor, with 30+ years of engineering history predating the AI wave.. Minimum engagement starts at $100,000+. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom.
Who should choose Andersen?
Andersen is the right choice for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.)..
3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Manufacturing.
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 | Andersen |
| Your budget is at the lower end | Compare: EPAM Systems ($100,000+) vs Andersen (Not published) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need production MLOps support after model launch | EPAM Systems |
| 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 |
|---|---|---|---|
| Large enterprise with a $100K+ budget needs a publicly traded vendor for AI/ML procurement compliance requirements. | Strong | Strong | Both equally |
| Fortune 500 company needs generative AI deployed at global scale with responsible-AI governance built in. | Strong | Limited | EPAM Systems |
| Enterprise wants AI consulting bundled with broad general software engineering (.NET, Java, mobile) from one vendor. | Strong | Strong | Both equally |
| Company needs a large, multi-language development team where AI/ML is one of several needed capabilities. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: EPAM Systems vs Andersen
EPAM Systems (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Public-company (NYSE: EPAM) scale and compliance rigor, with 30+ years of engineering history predating the AI wave.. It is best for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner..
Andersen (3.7/5) is the better choice when enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.).. If your situation matches those criteria, Andersen is a competitive option.
Related comparisons
EPAM Systems vs Andersen FAQ
Is EPAM Systems better than Andersen?
EPAM Systems (4.0/5) scores higher overall, but "better" depends on your use case. EPAM Systems is better for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner.. Andersen is better for enterprises wanting AI consulting bundled with a very broad general software-engineering practice (.NET, Java, mobile, etc.)..
How do EPAM Systems and Andersen differ in pricing?
EPAM Systems uses time & materials, managed engagement pricing with a minimum engagement of $100,000+. Andersen uses time & materials, dedicated team pricing with a minimum engagement of Not published. 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 (nyse: epam) scale and compliance rigor, with 30+ years of engineering history predating the ai wave.. Andersen's primary differentiator is: 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models.. They also differ in team size (50,000+ vs 3,600+), minimum engagement ($100,000+ vs Not published), and primary industries served (FinTech, Healthcare vs FinTech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.