Best AI Development Services

EPAM Systems

NYSE-listed engineering firm with company-wide AI transformation practice

Founded 1993 | Newtown, United States | 62,000+ employees
Enterprise AIGenerative AIMachine LearningMLOpsAI Consulting

What is EPAM Systems?

EPAM Systems was founded in 1993 in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has traded on the New York Stock Exchange since 2012 as a member of the S&P 500. The company employed roughly 62,850 people across more than 55 countries at the end of 2025, which puts it in a different capacity class from every other firm on this list. EPAM markets itself as a leader in AI transformation engineering, and its scale means AI work is one part of a much larger digital engineering and cloud transformation business rather than the whole of it.

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 AI folded into a much larger engineering practice.

EPAM Systems tech stack and services

PythonAWSAzureGoogle CloudKubernetesDatabricks
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 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
+Public-company financial transparency and stability that private firms on this list can't match. -AI is one line of business inside a much larger engineering firm, not a dedicated specialty
+Scale to staff multiple large AI programs across regions simultaneously. -Enterprise scale typically means longer sales cycles and higher minimum engagement sizes than boutiques
+S&P 500 membership signals enterprise procurement teams can vet it through standard due diligence.
+Cloud partnerships span all three major hyperscalers.

EPAM Systems vs alternatives

How EPAM Systems compares to the other top AI Development companies.

Company Best for Key difference Rating Compare
Tensorway Regulated-industry teams needing compliant, production AI. Full IP transfer plus GDPR/HIPAA/ISO-certified delivery on every engagement 4.8 Full comparison
BlueLabel Product teams wanting AI features tied to real... Decade of product-design discipline applied to LLM and agent engineering 4.6 Full comparison
Markovate Startups needing a dedicated AI product partner, not... Ten years of AI-only positioning predating the current generative AI wave 4.5 Full comparison
DataRoot Labs Data-heavy startups needing applied ML research capacity. R&D-style engagement model built for startups, not enterprise procurement 4.4 Full comparison
ITRex Group Enterprises needing AI tied to existing data infrastructure. Fifteen years pairing AI delivery with the underlying data engineering it depends on 4.3 Full comparison
Valiance Solutions Government and public-sector bodies needing decision-support AI. Built specifically around public-sector and government AI procurement, not consumer AI 4.2 Full comparison
BotsCrew SMBs wanting a dedicated conversational AI specialist. Chatbot and agent development as the sole focus since founding, not an added service line 4.2 Full comparison
Grid Dynamics Enterprises wanting a public, auditable AI engineering partner. Nasdaq-listed (GDYN) with quarterly financial disclosure most competitors don't provide 4.1 Full comparison
LeewayHertz Buyers wanting broad AI service coverage under one... Backed by The Hackett Group's consulting and benchmarking network post-acquisition 4.1 Full comparison
InData Labs Teams needing data science depth before an AI... Data-science-first practice rather than a generative-AI-branded service line 4.1 Full comparison
Master of Code Global Enterprises standardizing conversational AI across channels. Two decades focused specifically on enterprise conversational AI, longer than most on this list 4.0 Full comparison
Softermii Teams needing AI features built into a broader... Full-stack product development capability alongside newer AI service lines 4.0 Full comparison
SoftKraft Startups on a budget needing data-driven MVP work. Small dedicated team pricing squarely at startup and SME budgets, not enterprise rates 4.0 Full comparison
N-iX Enterprises wanting AI paired with cloud and embedded... 50-plus delivered AI projects backed by named enterprise clients like Bosch and Siemens 4.0 Full comparison
Innowise Group Buyers wanting one vendor to cover every AI... Full-cycle coverage of nearly every AI service category under a single 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
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
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
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 firms this size 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
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
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
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
Coherent Solutions Enterprises wanting broad global delivery footprint flexibility. Nine-country offshore delivery network built over three decades 3.9 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?

Fortune 500 buyers needing AI at global engineering scale. 62,000+ team size. Key consideration: AI is one line of business inside a much larger engineering firm, not 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: full ip transfer plus gdpr/hipaa/iso-certified delivery on every engagement
  • BlueLabel: decade of product-design discipline applied to llm and agent engineering
  • Markovate: ten years of ai-only positioning predating the current generative ai wave
See full alternatives list

Compare EPAM Systems with other AI Development companies

Verify all details directly with EPAM Systems before making a decision.