EPAM Systems
NYSE-listed engineering firm, ~63,000 staff, AI as a company-wide practice
What is EPAM Systems?
EPAM Systems traces back to 1993, founded jointly in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has been an S&P 500 constituent trading on the NYSE since 2012. By the end of 2025 the company employed roughly 62,850 people across more than 55 countries, a scale that puts it in an entirely different category from any other firm on this list. AI transformation engineering is one of its marketed practice areas, but at this size it operates as part of a much larger digital engineering and cloud transformation business rather than a standalone specialty.
EPAM Systems works primarily with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment sectors. Its primary differentiator is: Public-company scale (NYSE: EPAM) with financial transparency few competitors offer.
EPAM Systems tech stack and services
| Service area |
|---|
| Enterprise AI |
| Generative AI |
| Machine Learning |
| MLOps |
| AI Consulting |
EPAM Systems pricing
Short answer: EPAM Systems uses a retainer or dedicated team, enterprise contracting pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Retainer | Monthly rate; not public | Ongoing AI engineering |
EPAM Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +Public-company financial disclosure that no private firm on this list can match. | -AI sits inside an enormous engineering business rather than functioning as a dedicated specialty |
| +Enough scale to staff several large AI programs across regions simultaneously. | -Scale generally means slower onboarding and higher minimum engagement than boutique firms |
| +S&P 500 membership means enterprise procurement teams can vet it through standard due diligence. | |
| +Partnerships across all three major cloud hyperscalers. |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top AI Development firms.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| BlueLabel | Product teams that need AI wrapped in real... | A decade of product design discipline behind every LLM integration it ships | 4.8 | Full comparison |
| Markovate | Founders wanting an AI-only product partner. | AI-exclusive focus since 2015, predating the current generative AI surge | 4.6 | Full comparison |
| Tensorway | Teams that need compliance-certified AI delivery. | Compliance certification (GDPR, HIPAA, ISO 9001, ISO 27001) as standard, not an add-on | 4.5 | Full comparison |
| DataRoot Labs | Startups needing applied ML research on demand. | R&D-oriented engagement style built for startup pace, not enterprise procurement cycles | 4.4 | Full comparison |
| ITRex Group | Enterprises pairing AI with existing data infrastructure work. | Fifteen-plus years combining AI delivery with the data engineering it depends on | 4.3 | Full comparison |
| Valiance Solutions | Government agencies needing explainable decision-support AI. | One of the few AI vendors reviewed here with real government procurement experience | 4.2 | Full comparison |
| BotsCrew | SMBs wanting a dedicated conversational AI partner. | Nine years of conversational AI focus rather than a recently-added service line | 4.2 | Full comparison |
| Grid Dynamics | Enterprises wanting a publicly-audited AI engineering partner. | Nasdaq listing (GDYN) with quarterly financial disclosure | 4.1 | Full comparison |
| LeewayHertz | Buyers wanting broad AI service coverage in one... | Backed by The Hackett Group's consulting network following its 2024 acquisition | 4.1 | Full comparison |
| InData Labs | Teams needing data science depth before an AI... | Data-science-first heritage that predates the generative AI branding wave | 4.1 | Full comparison |
| Master of Code Global | Enterprises standardizing conversational AI across channels. | Two decades focused specifically on enterprise conversational AI | 4.0 | Full comparison |
| Softermii | Teams needing AI features inside a broader product... | Full-stack product development capability layered with newer AI service lines | 4.0 | Full comparison |
| SoftKraft | Startups on tight budgets needing data-driven MVPs. | Small dedicated team priced for startup budgets rather than enterprise rates | 4.0 | Full comparison |
| N-iX | Enterprises wanting AI paired with cloud and embedded... | 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens | 4.0 | Full comparison |
| Innowise Group | Buyers wanting one vendor across every AI service... | Full-cycle coverage of nearly every AI service category under one 2,000-plus person firm | 4.0 | Full comparison |
| 10Clouds | Product teams wanting AI folded into UX and... | AI treated as one integrated capability inside full product design and development | 4.0 | Full comparison |
| Cleveroad | Startups needing AI features inside a mobile or... | Production-deployment discipline carried over from a decade of mobile and web delivery | 4.0 | Full comparison |
| Accenture | Global enterprises running AI transformation across many business... | 60,000-plus trained generative AI practitioners inside a global consulting organization | 4.0 | Full comparison |
| Sigma Software Group | European enterprises wanting AI from a Nordic engineering... | Nordic headquarters and enterprise scale rare among the firms reviewed here | 3.9 | Full comparison |
| Exadel | Enterprises wanting AI as part of a broader... | Over 25 years of enterprise technology consulting history predating most AI-focused competitors | 3.9 | Full comparison |
| Simform | Enterprises pairing AI with a larger cloud engineering... | 1,400-plus engineers spanning six continents inside one accountable vendor | 3.9 | Full comparison |
| 10Pearls | Enterprises wanting AI bundled with digital transformation work. | Two decades of digital transformation delivery with AI as an established add-on practice | 3.9 | Full comparison |
| DataArt | Enterprises in finance or healthcare needing AI at... | Nearly 30 years of engineering history across 30-plus global delivery locations | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI alongside blockchain or IoT work. | Combines AI with blockchain and IoT engineering under one roof | 3.9 | Full comparison |
| Infosys | Global enterprises needing AI inside a full IT... | One of the world's largest IT services firms with a dedicated London-based consulting arm | 3.9 | Full comparison |
EPAM Systems FAQ
What is EPAM Systems?
NYSE-listed engineering firm, ~63,000 staff, AI as a company-wide practice
How much does EPAM Systems charge?
EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does EPAM Systems use?
EPAM Systems works with Python, AWS, Azure, Google Cloud, Kubernetes, Databricks. Primary industries served include Financial services, Healthcare, Retail & e-commerce, Media & entertainment.
Is EPAM Systems right for enterprise?
Global enterprises running AI programs at massive scale. 62,000+ team size. Key consideration: AI sits inside an enormous engineering business rather than functioning as a dedicated specialty.
What are the best EPAM Systems alternatives?
The best alternatives to EPAM Systems depend on your use case. Top options are:
- BlueLabel: a decade of product design discipline behind every llm integration it ships
- Markovate: ai-exclusive focus since 2015, predating the current generative ai surge
- Tensorway: compliance certification (gdpr, hipaa, iso 9001, iso 27001) as standard, not an add-on
Compare EPAM Systems with other AI Development firms
Verify all details directly with EPAM Systems before making a decision.