EPAM Systems vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.1/5) edges ahead of EPAM Systems (3.8/5) overall. Addepto is the better choice for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. EPAM Systems is the stronger option for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Addepto: head-to-head summary
| Criterion | EPAM Systems | Addepto |
|---|---|---|
| Founded | 1993 | 2018 |
| HQ | Newtown, Pennsylvania, USA | Warsaw, Poland |
| Team size | 10,000+ | 51–200 |
| Rating | 3.8 / 5 | 4.1 / 5 |
| Best for | The largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner. | Companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition. |
| Pricing model | Managed services and fixed project | Fixed project and consulting retainer |
| Min. engagement | Not published | $20K |
| Primary tech stack | Python, EPAM DIAL, Azure OpenAI | Python, Scikit-learn, TensorFlow |
| Industries served | Financial Services, Healthcare, Retail, Technology/SaaS, Government | Financial Services, Retail, Manufacturing |
EPAM Systems vs Addepto: overview
EPAM Systems
EPAM Systems is a global digital engineering company founded in 1993 by Arkadiy Dobkin and Leo Lozner, listed on the NYSE since 2012, with approximately 62,850 employees as of end of 2025. The company has built a proprietary AI orchestration platform, EPAM DIAL, for managing large language models in production, but AI/ML delivery represents one part of an enormous, broadly diversified enterprise engineering portfolio.
Addepto
Addepto is an AI and data consulting company founded in Warsaw, Poland in 2018 by Edwin Lisowski and Artur Haponik (one source lists 2017), specializing in machine learning, artificial intelligence, and business intelligence solutions. Reported headcount is roughly 55–58 employees across Europe, North America, and Asia. In December 2025, Addepto was acquired by KMS Technology; prospective clients should confirm how the acquisition affects team continuity, existing contracts, and service delivery going forward.
Services and capabilities: EPAM Systems vs Addepto
| Capability | EPAM Systems | Addepto |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✓ | ✗ |
| MLOps & production deployment | ✓ | ✗ |
| Data engineering | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✓ | ✗ |
Tech stack comparison: EPAM Systems vs Addepto
| Framework / platform | EPAM Systems | Addepto |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: EPAM Systems vs Addepto
| Criterion | EPAM Systems | Addepto |
|---|---|---|
| Minimum engagement | Not published | $20K |
| Engagement models | Managed services, Fixed project, Staff augmentation | Fixed project, Consulting retainer |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: EPAM Systems vs Addepto
| Dimension | EPAM Systems | Addepto |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial Services, Healthcare, Retail | Financial Services, Retail, Manufacturing |
| Best use cases | Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support, Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources, Business intelligence projects that also require a machine learning component |
| Typical project type | Managed services | Fixed project |
EPAM Systems vs Addepto: pros and cons
| EPAM Systems | |
|---|---|
| + | Largest, most globally distributed team on this list, supporting essentially unlimited program scale |
| + | NYSE listing (since 2012) provides the highest level of public financial transparency among firms reviewed here |
| + | Proprietary EPAM DIAL platform for LLM orchestration shows real internal AI infrastructure investment |
| + | 32 years of continuous operation across more than 55 countries |
| - | AI/ML is a specialization within an enormous generalist engineering portfolio, not the company's defining focus |
| - | Scale of the organization can translate into higher account-management overhead for smaller engagements |
| - | Buyers wanting a boutique, founder-accessible relationship will find that better served by smaller firms on this list |
| Addepto | |
|---|---|
| + | 7 years of focused AI/BI consulting experience prior to the KMS Technology acquisition |
| + | Small team size historically meant direct founder-level access on engagements |
| + | Multi-continent presence (Europe, North America, Asia) despite a compact headcount |
| + | Acquisition by KMS Technology (Dec 2025) may bring additional delivery resources and stability |
| - | Acquired by KMS Technology in December 2025 — buyers should confirm how this affects team continuity, pricing, and existing contracts before signing |
| - | Public sources disagree on exact founding year (2017 vs. 2018) and employee count (55 vs. 58) |
| - | Post-acquisition integration could change the service delivery model in ways not yet publicly documented |
Who should choose EPAM Systems?
EPAM Systems is the right choice for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL).. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Retail, Technology/SaaS, Government.
Who should choose Addepto?
Addepto is the right choice for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology.. Minimum engagement starts at $20K. Works best with clients in Financial Services, Retail, Manufacturing.
Decision matrix: EPAM Systems vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | EPAM Systems |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: EPAM Systems (Not published) vs Addepto ($20K) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | EPAM Systems |
Use case fit: EPAM Systems vs Addepto
| Use case | EPAM Systems fit | Addepto fit | Winner |
|---|---|---|---|
| Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support | Strong | Limited | EPAM Systems |
| Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Strong | Limited | EPAM Systems |
| Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources | Limited | Strong | Addepto |
| Business intelligence projects that also require a machine learning component | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems vs Addepto
Addepto (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology.. It is best for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
EPAM Systems (3.8/5) is the better choice when the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
EPAM Systems vs Addepto FAQ
Is EPAM Systems better than Addepto?
Addepto (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems is better for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. Addepto is better for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
How do EPAM Systems and Addepto differ in pricing?
EPAM Systems uses managed services and fixed project pricing with a minimum engagement of Not published. Addepto uses fixed project and consulting retainer pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: EPAM Systems or Addepto?
Addepto 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 Addepto?
EPAM Systems's primary differentiator is: largest headcount on this list (62,000+) with nyse-listed financial transparency and a proprietary llm orchestration platform (epam dial).. Addepto's primary differentiator is: boutique ai/bi consultancy that gained additional scale and resources through its december 2025 acquisition by kms technology.. They also differ in team size (10,000+ vs 51–200), minimum engagement (Not published vs $20K), and primary industries served (Financial Services, Healthcare vs Financial Services, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.