EPAM Systems
NYSE-listed global engineering firm with over 60,000 employees and its own enterprise AI orchestration platform.
Founded 1993 | Newtown, Pennsylvania, USA | 10,000+ employees | Last updated: July 2026
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What is 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.
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, USA. The firm employs 10,000+ people and works primarily with clients in Financial Services, Healthcare, Retail, Technology/SaaS, Government sectors. Its primary differentiator is: Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL)..
EPAM Systems tech stack and services
PythonEPAM DIALAzure OpenAIAWSKubernetes
| Service area | Details |
|---|---|
| Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support | Available for Financial Services, Healthcare, Retail, Technology/SaaS, Government clients |
| Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Available for Financial Services, Healthcare, Retail, Technology/SaaS, Government clients |
| Highly regulated, multi-country programs needing public-company compliance rigor | Available for Financial Services, Healthcare, Retail, Technology/SaaS, Government clients |
EPAM Systems use cases
Short answer: EPAM Systems is best suited for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
| Use case | Industries | Approach |
|---|---|---|
| Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support | Financial Services, Healthcare | Python, EPAM DIAL |
| Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Financial Services, Healthcare | Python, EPAM DIAL |
| Highly regulated, multi-country programs needing public-company compliance rigor | Financial Services, Healthcare | Python, EPAM DIAL |
EPAM Systems pricing
Short answer: EPAM Systems uses a managed services and fixed project pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Managed services | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From Not published | Well-defined scope |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
EPAM Systems does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
EPAM Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +Largest, most globally distributed team on this list, supporting essentially unlimited program scale | -AI/ML is a specialization within an enormous generalist engineering portfolio, not the company's defining focus |
| +NYSE listing (since 2012) provides the highest level of public financial transparency among firms reviewed here | -Scale of the organization can translate into higher account-management overhead for smaller engagements |
| +Proprietary EPAM DIAL platform for LLM orchestration shows real internal AI infrastructure investment | -Buyers wanting a boutique, founder-accessible relationship will find that better served by smaller firms on this list |
| +32 years of continuous operation across more than 55 countries |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises in financial services or other regulated sectors... | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies wanting a single vendor to cover... | Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers who want AI/ML delivery... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, and SaaS companies wanting a specialist... | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | Small and mid-size companies in the EU that... | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | Companies needing GPU-heavy deep learning work where an... | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies combining AI/ML work with IoT or... | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare, BFSI, and manufacturing enterprises wanting AI capability... | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Enterprises, especially in financial services, needing AI delivery... | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises wanting a publicly-listed, financially transparent AI/analytics... | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, and industrials companies wanting industry-contextualized data... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises needing a data-engineering-first partner that also... | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting analytics and BI delivery with ML... | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Companies that already use Indium for QA/testing and... | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level financial transparency and public-company compliance... | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises that want AI/ML delivered by... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| SoftServe | Enterprises wanting a large, established engineering partner with... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Mid-to-large enterprises, including Fortune 500 clients, wanting a... | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Enterprises across finance, media, healthcare, and retail wanting... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises wanting AI/ML and data science delivered... | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML delivered as part of a... | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML delivered by an outsourcing firm... | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises wanting model design through MLOps and production... | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, and health/fitness companies wanting a mid-size... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies specifically building conversational AI, chatbot, or generative-AI-driven... | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML delivered by a long-established generalist... | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI-powered application development from a firm... | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies wanting AI/ML added to a broader... | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | Small and mid-size companies wanting an accessible, specialized... | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI consulting from a team... | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML specifically paired with IoT sensor... | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
EPAM Systems FAQ
What is 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.
How much does EPAM Systems charge?
EPAM Systems uses managed services and fixed project pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does EPAM Systems use?
EPAM Systems works with Python, EPAM DIAL, Azure OpenAI, AWS, Kubernetes. Primary industries served include Financial Services, Healthcare, Retail, Technology/SaaS, Government.
Is EPAM Systems right for enterprise?
The largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. 10,000+ team size. Key consideration: AI/ML is a specialization within an enormous generalist engineering portfolio, not the company's defining focus.
What are the best EPAM Systems alternatives?
The best alternatives to EPAM Systems depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
Compare EPAM Systems with other Machine Learning Development agencies
EPAM Systems vs Neurons Lab EPAM Systems vs Tensorway EPAM Systems vs Provectus EPAM Systems vs InData Labs EPAM Systems vs AI Superior EPAM Systems vs Data Monsters EPAM Systems vs ITRex Group EPAM Systems vs Ideas2IT EPAM Systems vs Quantiphi EPAM Systems vs Fractal Analytics EPAM Systems vs Tredence EPAM Systems vs Sigmoid EPAM Systems vs LatentView Analytics EPAM Systems vs Indium Software EPAM Systems vs Grid Dynamics EPAM Systems vs Persistent Systems EPAM Systems vs SoftServe EPAM Systems vs N-iX EPAM Systems vs DataArt EPAM Systems vs Andersen EPAM Systems vs Innowise Group EPAM Systems vs Sigma Software Group EPAM Systems vs Exadel EPAM Systems vs MobiDev EPAM Systems vs Master of Code Global EPAM Systems vs ScienceSoft EPAM Systems vs Intellectsoft EPAM Systems vs Belitsoft EPAM Systems vs Neoteric EPAM Systems vs Addepto EPAM Systems vs Softweb Solutions
Last reviewed: July 2026. Verify all details directly with EPAM Systems before making a decision.