EPAM Systems
NYSE-listed engineering firm with company-wide AI transformation practice
What is EPAM Systems?
EPAM Systems dates to 1993, co-founded in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has traded on the NYSE as an S&P 500 constituent since 2012. It employed roughly 62,850 people across more than 55 countries at the end of 2025, a scale category no other agency on this list approaches. AI transformation engineering is a marketed practice area, but at this size it functions 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 agency on this list can match. | -AI sits inside an enormous engineering business rather than functioning as a dedicated specialty |
| +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 lets enterprise procurement teams vet it through standard due diligence. | |
| +Partnerships span all three major cloud hyperscalers. |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top AI Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Regulated industries needing certified AI delivery. | Documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every engagement | 4.8 | Full comparison |
| Markovate | Founders wanting an AI-only product partner. | AI-exclusive focus dating to 2015, ahead of the current generative AI cycle | 4.6 | Full comparison |
| BlueLabel | Product teams needing AI wrapped in real UX. | Product design pedigree behind every LLM integration it ships | 4.5 | Full comparison |
| DataRoot Labs | Startups needing applied ML research capacity. | Research-oriented engagement style built for startup speed, not enterprise procurement | 4.4 | Full comparison |
| ITRex Group | Enterprises pairing AI with existing data infrastructure. | Fifteen-plus years combining AI delivery with the data engineering it depends on | 4.3 | Full comparison |
| BotsCrew | SMBs wanting a dedicated conversational AI partner. | Nine years of conversational AI focus, not a recently added service line | 4.2 | Full comparison |
| Valiance Solutions | Government agencies needing explainable decision-support AI. | Real government procurement experience, uncommon among AI agencies | 4.2 | Full comparison |
| InData Labs | Teams needing data science depth before an AI... | Data-science-first heritage predating the generative AI branding wave | 4.1 | Full comparison |
| Andersen | Enterprises wanting AI paired with broad platform engineering. | 3,500-plus specialists across 20 global offices with a named AI and data practice | 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 |
| Grid Dynamics | Enterprises wanting a publicly-audited AI engineering partner. | Nasdaq listing (GDYN) with quarterly financial disclosure | 4.1 | 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, not 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 agency across every AI service... | Full-cycle coverage of nearly every AI service category under a single 2,000-plus person firm | 4.0 | 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 |
| Debut Infotech | Mobile-first products needing AI features added on. | Mobile and digital product development background with AI layered on top | 3.9 | Full comparison |
| eSparkBiz | Cost-sensitive teams needing certified AI-adjacent delivery. | CMMI Level 3 and ISO 9001 certification uncommon among agencies this size | 3.9 | Full comparison |
| TechAhead | Mobile app teams wanting AI added without switching... | US and India dual headquarters with 22% year-over-year headcount growth reported | 3.9 | Full comparison |
| AtliQ Technologies | Budget-conscious teams wanting AI added to a product... | US and India presence at startup-friendly pricing for a firm founded in 2017 | 3.9 | Full comparison |
| Growexx | Startups wanting fast-growing engineering capacity with AI. | Younger, fast-scaling team actively expanding a dedicated AI division | 3.9 | Full comparison |
| Intuz | IoT-heavy products needing AI layered on top of... | AI paired specifically with IoT delivery experience, not offered separately | 3.9 | Full comparison |
| HYS Enterprise | EU clients wanting Netherlands-based contracting with Poland delivery. | Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting | 3.9 | Full comparison |
| Iflexion | Enterprises wanting AI from a long-established custom software... | Over 25 years of custom software delivery history predating most AI-focused competitors | 3.9 | Full comparison |
| Coherent Solutions | Enterprises wanting broad global delivery footprint flexibility. | Nine-country offshore delivery network built over three decades | 3.9 | Full comparison |
| Belitsoft | Teams wanting AI from an established staff augmentation... | Twenty years of outsourcing delivery with AI added as a distinctly recent practice | 4.0 | Full comparison |
EPAM Systems FAQ
What is EPAM Systems?
NYSE-listed engineering firm with company-wide AI transformation 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:
- Tensorway: documented gdpr, hipaa, iso 9001, and iso 27001 compliance on every engagement
- Markovate: ai-exclusive focus dating to 2015, ahead of the current generative ai cycle
- BlueLabel: product design pedigree behind every llm integration it ships
Compare EPAM Systems with other AI Development agencies
Verify all details directly with EPAM Systems before making a decision.