Andersen Lab vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Andersen Lab (4.0/5) edges ahead of EPAM Systems (3.8/5) overall. Andersen Lab is the better choice for enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint. EPAM Systems is the stronger option for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. The right choice depends on your project size, budget, and required tech stack.
Andersen Lab vs EPAM Systems: head-to-head summary
| Criterion | Andersen Lab | EPAM Systems |
|---|---|---|
| Founded | 2007 | 1993 |
| HQ | Łódź, Poland | Newtown, PA |
| Team size | 3,700+ | 50,000+ |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Best for | Enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint | Global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation |
| Pricing model | Dedicated team, T&M, fixed project | Dedicated team, T&M |
| Min. engagement | $50K | ~$200K+ |
| Primary tech stack | Python, TensorFlow, Scikit-learn | Python, TensorFlow, PyTorch |
| Industries served | Manufacturing & Industrial, Financial Services, Logistics & Supply Chain, Healthcare & Life Sciences, Media & Entertainment | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce |
Andersen Lab vs EPAM Systems: overview
Andersen Lab
Andersen Lab is a software development company founded in 2007 and headquartered in Łódź, Poland, with 3,700+ engineers across 16 global locations. The firm has delivered AI and ML projects for major clients including Siemens, S&P Global, Ryanair, Johnson & Johnson, and T-Systems. Andersen harnesses AI, machine learning, data science, big data, and computer vision to create intelligent systems for healthcare, fintech, logistics, automotive, and manufacturing clients.
EPAM Systems
EPAM Systems is a global software engineering and IT services company founded in 1993 and headquartered in Newtown, PA, with 50,000+ professionals. The firm offers AI-native engineering services with a focus on scaling ML, generative AI, and agentic systems across large enterprises with strict governance requirements. EPAM is a powerhouse for building complex, software-heavy AI products from scratch, though it comes at a premium price point.
Services and capabilities: Andersen Lab vs EPAM Systems
| Capability | Andersen Lab | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & LLMs | ✗ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✗ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Andersen Lab vs EPAM Systems
| Framework / platform | Andersen Lab | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | ✓ | N/A |
| Vertex AI | N/A | N/A |
| Scikit-learn | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Apache Spark | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Andersen Lab vs EPAM Systems
| Criterion | Andersen Lab | EPAM Systems |
|---|---|---|
| Minimum engagement | $50K | ~$200K+ |
| Engagement models | Dedicated team, Time & materials, Fixed project | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Enterprise |
Target audience comparison: Andersen Lab vs EPAM Systems
| Dimension | Andersen Lab | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing & Industrial, Financial Services, Logistics & Supply Chain | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial |
| Best use cases | Enterprise ML delivery for manufacturing industrial automation — Siemens-scale programme, Financial data science and ML model build for capital markets analytics platform | Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope, Enterprise GenAI platform with strict governance and compliance for regulated financial institution |
| Typical project type | Dedicated team | Dedicated team |
Andersen Lab vs EPAM Systems: pros and cons
| Andersen Lab | |
|---|---|
| + | Named Fortune-500 client references (Siemens, S&P Global, Ryanair) — the strongest enterprise credibility in this list |
| + | 3,700+ engineers across 16 locations for truly global ML programme delivery |
| + | Multi-industry depth covering healthcare, automotive, manufacturing, and fintech |
| + | Computer vision and big data capabilities alongside core ML |
| + | Poland-based delivery benefits from EU talent quality and GDPR alignment |
| - | $50K minimum limits smaller project accessibility |
| - | Large-firm delivery model — less specialist ML boutique agility for exploratory or fast-iteration work |
| - | Eastern European delivery carries geopolitical continuity risk for some enterprise procurement policies |
| EPAM Systems | |
|---|---|
| + | 50,000+ professionals — unmatched delivery scale for global multi-stream AI programmes |
| + | AI-native engineering practice purpose-built for scaling ML, GenAI, and agentic systems |
| + | Strict governance and compliance frameworks for regulated enterprise AI delivery |
| + | Full-stack capability from hardware infrastructure through ML models to frontend AI products |
| + | Strong US and Eastern European delivery mix for cost-performance balance at enterprise scale |
| - | ~$200K+ minimum makes EPAM inaccessible for all but the largest enterprise budgets |
| - | Large-firm overhead — procurement, contracting, and ramp-up timelines are significantly longer than boutiques |
| - | Generalist breadth means less niche ML depth than boutiques in specific domains like healthcare imaging or time-series |
Who should choose Andersen Lab?
Andersen Lab is the right choice for enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint.
Named client references including Siemens, S&P Global, and Ryanair — enterprise ML track record at the highest scale. Minimum engagement starts at $50K. Works best with clients in Manufacturing & Industrial, Financial Services, Logistics & Supply Chain, Healthcare & Life Sciences, Media & Entertainment.
Who should choose EPAM Systems?
EPAM Systems is the right choice for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
AI-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. Minimum engagement starts at ~$200K+. Works best with clients in Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce.
Decision matrix: Andersen Lab vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Andersen Lab |
| You need a large dedicated team for an ongoing programme | Andersen Lab |
| Your budget is at the lower end | Andersen Lab |
| You need specialist depth in a specific vertical | Andersen Lab |
| You need staff augmentation or team extension | Andersen Lab |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Andersen Lab vs EPAM Systems
| Use case | Andersen Lab fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Enterprise ML delivery for manufacturing industrial automation — Siemens-scale programme | Strong | Strong | Both equally |
| Financial data science and ML model build for capital markets analytics platform | Strong | Strong | Both equally |
| Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope | Limited | Strong | EPAM Systems |
| Enterprise GenAI platform with strict governance and compliance for regulated financial institution | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Andersen Lab vs EPAM Systems
Andersen Lab (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Named client references including Siemens, S&P Global, and Ryanair — enterprise ML track record at the highest scale. It is best for enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint.
EPAM Systems (3.8/5) is the better choice when global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
Andersen Lab vs EPAM Systems FAQ
Is Andersen Lab better than EPAM Systems?
Andersen Lab (4.0/5) scores higher overall, but "better" depends on your use case. Andersen Lab is better for enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint. EPAM Systems is better for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
How do Andersen Lab and EPAM Systems differ in pricing?
Andersen Lab uses dedicated team, t&m, fixed project pricing with a minimum engagement of $50K. EPAM Systems uses dedicated team, t&m pricing with a minimum engagement of ~$200K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Andersen Lab 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 company before shortlisting.
What are the main differences between Andersen Lab and EPAM Systems?
Andersen Lab's primary differentiator is: named client references including siemens, s&p global, and ryanair — enterprise ml track record at the highest scale. EPAM Systems's primary differentiator is: ai-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. They also differ in team size (3,700+ vs 50,000+), minimum engagement ($50K vs ~$200K+), and primary industries served (Manufacturing & Industrial, Financial Services vs Financial Services, Healthcare & Life Sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.